Data Governance

Market Director, Information Technology & Services | Healthcare IT | Lake Havasu City, AZ

Market Director, Information Technology & Services

📍 Location: Lake Havasu City, Arizona 86403
🏥 Work Arrangement: 100% Onsite
💼 Employment Type: Full-Time, Permanent
📈 Experience Level: Senior Leadership
👤 Reports To: Chief Financial Officer
💰 Base Salary: $101,000–$136,000
🕒 Typical Hours: Monday–Friday, 8:00 AM–5:00 PM
✈️ Travel: Regular Overnight Travel—Potentially Up to 50%
🚚 Relocation Assistance: Not Available
💵 Sign-On Bonus: Not Available
🚫 Visa Sponsorship: Not Available

Lead Technology That Directly Supports Patient Care

A regional healthcare organization is seeking an experienced Market Director of Information Technology & Services to provide strategic and operational technology leadership across its hospital and assigned market facilities.

Reporting to the Chief Financial Officer, this senior leadership position will oversee hospital IT operations, enterprise applications, infrastructure, cybersecurity, technology support and service delivery. The Director will ensure clinical and business systems remain reliable, secure and aligned with organizational strategy, regulatory requirements and patient-care priorities.

This is a highly visible, onsite leadership opportunity for an experienced healthcare IT professional who can connect clinical, operational and enterprise teams while delivering secure, dependable and cost-effective technology services.

Key Responsibilities

Strategic IT Leadership

  • Provide strategic leadership and oversight for Information Technology and Services across the assigned healthcare market.

  • Develop and execute a market-level IT strategy aligned with facility and enterprise priorities.

  • Serve as the primary liaison between hospital leadership, market stakeholders and enterprise IT.

  • Ensure local technology requirements are represented during enterprise planning and governance.

  • Translate enterprise technology strategies into effective facility-level implementation plans.

  • Advise executive leadership on technology risks, priorities, investments and emerging opportunities.

  • Contribute to enterprise governance councils and the development of technology, cybersecurity and data-governance standards.

Hospital IT Operations

  • Oversee day-to-day IT operations across assigned facilities.

  • Maintain the reliability, availability and performance of clinical and business systems.

  • Provide leadership across:

    • Hospital applications

    • Electronic Health Record systems

    • Infrastructure and network services

    • Cybersecurity

    • End-user support

    • Data and reporting systems

    • Connected clinical technologies

  • Ensure IT service-management, incident-response and change-management processes are consistently followed.

  • Monitor system performance, service levels and recurring operational issues.

  • Coordinate the response to major incidents and technology disruptions.

  • Identify and address technical debt affecting the market’s systems and data-center environment.

Clinical and Operational Partnership

  • Build trusted relationships with hospital executives, clinical leaders, physicians, nursing teams and operational departments.

  • Ensure technology solutions support patient care, clinical workflows and business operations.

  • Gather and prioritize technology needs across departments and facilities.

  • Translate clinical and operational requirements into practical technology solutions.

  • Help teams understand the operational impact of proposed technology changes.

  • Maintain strong communication during implementations, disruptions and organizational change.

EHR and Enterprise Applications

  • Oversee the reliable operation and support of Electronic Health Record and related clinical systems.

  • Lead or support EHR upgrades, implementations and optimization initiatives.

  • Coordinate with enterprise application teams and facility stakeholders to address workflow and system issues.

  • Support application testing, training, implementation and adoption.

  • Ensure clinical applications meet operational, cybersecurity and regulatory requirements.

  • Identify opportunities to improve clinical efficiency and patient-care outcomes through technology.

Cybersecurity and Regulatory Compliance

  • Implement and enforce enterprise cybersecurity policies and technology standards.

  • Protect clinical, patient, operational and financial information.

  • Ensure compliance with applicable healthcare technology and privacy requirements, including HIPAA and HITECH.

  • Participate in technology audits, regulatory inspections and accreditation activities.

  • Support cybersecurity assessments, incident-response activities and risk-remediation initiatives.

  • Promote secure technology practices across clinical and administrative teams.

  • Partner with enterprise cybersecurity leadership to address vulnerabilities and emerging threats.

Project and Change Management

  • Lead and support enterprise technology initiatives across assigned facilities.

  • Manage projects involving EHR upgrades, cybersecurity, digital transformation, infrastructure and technical-debt reduction.

  • Establish clear project plans, responsibilities, timelines and success measures.

  • Coordinate internal teams, enterprise resources, facility stakeholders and external partners.

  • Champion structured change management and effective communication.

  • Ensure staff receive appropriate training and support before new technology is introduced.

  • Monitor adoption and address barriers following implementation.

Financial and Vendor Management

  • Collaborate with Finance and executive leadership to develop and manage technology priorities.

  • Support IT budgeting, forecasting and financial planning.

  • Ensure technology investments align with organizational and patient-care objectives.

  • Identify opportunities for cost reduction, operational efficiency and revenue improvement.

  • Manage external vendors and technology partners in accordance with enterprise procurement requirements.

  • Monitor vendor performance, service delivery, contractual obligations and escalations.

  • Evaluate proposed technology investments based on value, risk and operational need.

Team Leadership and Development

  • Lead, mentor and develop the market’s IT professionals.

  • Establish clear performance expectations and promote accountability.

  • Support workforce planning, succession management and employee engagement.

  • Identify professional-development and technical-training opportunities.

  • Build a collaborative team culture focused on service, continuous learning and operational excellence.

  • Ensure the team remains responsive to the needs of clinical and business stakeholders.

Performance Improvement and Innovation

  • Drive continuous improvement across IT operations and service delivery.

  • Use performance data, benchmarks and service metrics to identify improvement opportunities.

  • Promote practical innovation that advances patient care, operational efficiency and information security.

  • Evaluate emerging healthcare technologies and their potential value.

  • Develop measurable plans to improve system availability, response times, user satisfaction and operational performance.

  • Support data-informed decision-making across hospital and market leadership.

Required Qualifications

Candidates must possess one of the following:

  • Bachelor’s degree in Computer Science, Information Systems, Business or a related discipline; or

  • At least seven years of directly relevant professional experience in place of a bachelor’s degree.

Additional requirements include:

  • At least five years of progressive IT management experience.

  • At least three years of experience within healthcare and a multi-site or enterprise environment.

  • Demonstrated ability to collaborate across clinical, operational and enterprise teams.

  • Strong leadership, communication and relationship-building capabilities.

  • Experience managing technology staff, priorities and service delivery.

  • Ability to work onsite in Lake Havasu City, Arizona.

  • Willingness and ability to undertake overnight travel, potentially up to 50%.

  • Current authorization to work in the United States without employer sponsorship.

Preferred Qualifications

  • Direct experience leading hospital IT operations.

  • Experience supporting multiple hospitals or healthcare facilities.

  • Strong knowledge of Electronic Health Record systems and clinical applications.

  • Experience with healthcare infrastructure, cybersecurity and data protection.

  • Knowledge of HIPAA, HITECH and related healthcare regulatory requirements.

  • Experience participating in hospital audits, inspections or accreditation activities.

  • Technology project and change-management experience.

  • Experience with EHR upgrades, digital transformation or clinical technology implementations.

  • Experience managing IT budgets and technology investments.

  • Strong vendor and contract-management experience.

  • Experience developing and mentoring IT professionals.

  • Knowledge of healthcare IT best practices and emerging technology trends.

  • Experience using performance metrics and analytics to improve IT service delivery.

The Ideal Candidate

The strongest candidate will be able to demonstrate:

  • Successful leadership of IT operations within a hospital or healthcare system.

  • Experience supporting a complex, multi-site or enterprise technology environment.

  • Strong understanding of the connection between technology and patient care.

  • Direct involvement with EHR systems, cybersecurity and regulatory compliance.

  • The ability to communicate effectively with clinical teams, hospital executives and enterprise IT leaders.

  • Examples of improving system availability, service delivery or stakeholder satisfaction.

  • Successful delivery of complex healthcare technology projects.

  • Experience managing budgets, vendors and competing operational priorities.

  • A collaborative and service-focused leadership style.

  • The ability to remain calm, organized and decisive during major incidents or technology disruption.

Work Environment

This position is based onsite within an active hospital environment. The successful candidate will work in clinical and office settings and may encounter the standard environmental conditions associated with healthcare facilities.

Normal business hours are generally Monday through Friday, from 8:00 AM to 5:00 PM. However, availability outside standard hours may occasionally be required based on operational needs, system incidents or project activity.

Regular travel between facilities and occasional overnight travel by land or air should be expected.

Benefits

The organization offers a comprehensive benefits package that may include:

  • Medical insurance

  • Dental insurance

  • Vision insurance

  • Life insurance

  • Accident and critical-illness coverage

  • Hospital-indemnity insurance

  • Short- and long-term disability coverage

  • Paid family leave

  • Paid time off

  • Retirement plan with employer contribution or match

  • Tuition and professional-certification assistance

  • Student-loan assistance

  • Mental, physical and financial wellness programs

  • Virtual-care and mental-health resources

  • Professional-development and career-advancement opportunities

Interview Process

The anticipated selection process includes:

  1. An initial 10-minute screening call.

  2. A Microsoft Teams interview with divisional IT leadership.

  3. A Microsoft Teams interview with hospital leadership.

  4. An onsite meeting with senior executives, department directors and IT staff.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected under applicable federal, state or local law.

 

Databricks Data Engineer – Sales Incentive Compensation | New York, NY

Databricks Data Engineer – Sales Incentive Compensation

📍 Location: New York, New York
🏢 Work Arrangement: Hybrid
📄 Contract Length: Six Months
💰 Hourly Rate: Approximately $75 per hour
💼 Employment Type: Contract
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
🏦 Industry: Insurance and Financial Services

Build the Data Infrastructure Behind Enterprise Sales Compensation

A leading global organization is seeking an experienced Databricks Data Engineer to design, develop and optimize enterprise data solutions supporting analytics, performance reporting and Sales Incentive Compensation.

This is not purely a pipeline-development position. The successful candidate will combine strong Databricks engineering expertise with an understanding of incentive compensation processes, including quota allocation, attainment calculations, commission processing and payout reporting.

You will work closely with Sales Operations, Finance, Business Intelligence and technology teams to translate complex business rules into scalable, accurate and auditable data solutions.

Why This Opportunity Stands Out

This opportunity will allow you to:

  • Own the design and development of enterprise Databricks solutions

  • Influence the wider Databricks architecture and technical roadmap

  • Build data pipelines supporting business-critical compensation processes

  • Work with Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows

  • Translate complex incentive-plan rules into reliable transformation logic

  • Improve automation, integration, data quality and platform performance

  • Partner directly with senior Finance, Sales Operations and technology stakeholders

  • Deliver solutions that directly influence commission and compensation accuracy

What You’ll Be Doing

Databricks Architecture and Engineering

  • Design, develop and implement scalable Databricks-based data solutions

  • Build and maintain data pipelines supporting ingestion, transformation, reporting and analytics

  • Develop data models, Delta Lake tables, notebooks and reporting datasets

  • Take ownership of the overall Databricks architecture

  • Ensure new pipelines and enhancements integrate effectively with existing workflows

  • Maintain and optimize Databricks workspaces, pipelines and orchestration processes

  • Identify opportunities to improve automation, performance and data integration

  • Design reliable ETL and ELT processes across multiple enterprise data sources

Sales Incentive Compensation

  • Build data pipelines supporting Sales Incentive Compensation processes

  • Translate incentive-plan rules into accurate and auditable data transformations

  • Support quota allocation and quota-management processes

  • Develop logic for attainment tracking and performance calculations

  • Support commission calculations and payout processing

  • Produce reliable datasets for compensation reporting and reconciliation

  • Work closely with Sales Operations and Finance to understand plan structures and business rules

  • Ensure calculation logic is transparent, documented and capable of being audited

  • Integrate incentive-compensation platforms with enterprise data and analytics solutions

Performance and Data Quality

  • Test, debug and optimize Databricks pipelines and notebooks

  • Investigate and resolve data-quality, performance and integration issues

  • Improve the reliability and efficiency of existing workflows

  • Implement appropriate controls and validation processes

  • Monitor data pipelines and troubleshoot failures or inconsistencies

  • Deliver a high-quality experience for analysts and other data consumers

Stakeholder and Technical Collaboration

  • Work with business stakeholders to understand complex data requirements

  • Translate functional requirements into scalable technical architectures

  • Challenge requirements constructively when a more effective solution is available

  • Partner with Finance, Sales Operations, IT and Business Intelligence teams

  • Provide technical support to analysts and end users

  • Communicate technical concepts clearly to both technical and non-technical audiences

  • Manage multiple priorities within a fast-paced enterprise environment

Documentation and Platform Development

  • Document data architectures, models, pipelines and configuration decisions

  • Produce clear technical specifications and development documentation

  • Maintain documentation to support knowledge transfer and long-term platform ownership

  • Stay current with Databricks capabilities and platform enhancements

  • Identify opportunities to use features such as Unity Catalog, Delta Live Tables and Photon

What You’ll Bring

Essential Databricks and Data Engineering Experience

  • At least seven years of professional data-engineering experience

  • A minimum of three years of hands-on Databricks experience

  • Extensive experience building and managing production Databricks solutions

  • Strong knowledge of:

    • Delta Lake

    • Delta Live Tables

    • Unity Catalog

    • Databricks Workflows

    • Databricks notebooks and workspaces

  • Advanced proficiency in Python and/or Scala

  • Strong SQL development expertise

  • Experience with data ingestion, transformation, ETL/ELT and data modelling

  • Experience designing and orchestrating enterprise data pipelines

  • Strong understanding of data quality, scalability and performance optimization

Sales Incentive Compensation Experience

  • Functional and technical experience with Sales Incentive Compensation processes

  • Understanding of incentive-plan design and compensation rules

  • Experience supporting quota allocation and management

  • Knowledge of sales-attainment calculations

  • Experience with commission calculation and payout processing

  • Ability to model complex incentive rules within data pipelines and transformation logic

  • Experience partnering with Sales Operations and Finance stakeholders

Cloud and Integration Experience

  • Experience integrating Databricks with at least one major cloud platform:

    • Microsoft Azure

    • Amazon Web Services

    • Google Cloud Platform

  • Experience working with integration and ingestion technologies such as:

    • Azure Data Factory

    • Azure Event Hubs

    • Apache Kafka

    • Comparable cloud-based data-integration tools

  • Ability to create holistic, end-to-end data solutions rather than isolated pipelines

Professional Capabilities

  • Strong stakeholder-management and consulting skills

  • Ability to translate complex business requirements into scalable data architectures

  • Excellent analytical and problem-solving capabilities

  • Strong written and verbal communication skills

  • Ability to work effectively with cross-functional teams

  • Resourceful and comfortable working with minimal direction

  • Strong technical-documentation skills

  • Ability to manage competing priorities and deadlines

  • Bachelor’s degree in Computer Science, Data Engineering, Information Technology or a related discipline

Preferred Experience

  • Experience integrating Databricks with platforms such as:

    • Anaplan

    • Oracle Incentive Compensation

    • Varicent

    • Comparable Sales Performance Management platforms

  • Databricks Certified Data Engineer Associate certification

  • Databricks Certified Data Engineer Professional certification

  • Experience using Photon to improve query and workload performance

  • Previous experience within insurance, financial services or another large regulated enterprise

  • Experience delivering auditable financial or compensation-related data solutions

The Ideal Candidate

The ideal candidate will be an experienced Databricks engineer who understands that compensation data requires exceptional accuracy, traceability and control.

You will be comfortable moving between detailed technical development and strategic conversations with Finance, Sales Operations and technology leaders. You should be willing to challenge requirements constructively, propose stronger architectural solutions and take ownership of delivery from initial design through testing, deployment and production support.

Most importantly, you will be able to combine enterprise data-engineering expertise with a practical understanding of how incentive plans, quotas, attainment calculations, commissions and payouts operate.

Contract Details

  • Initial Contract: Six months

  • Hourly Rate: Approximately $75 per hour

  • Location: New York, New York

  • Working Arrangement: Hybrid

  • Visa Sponsorship: Not available

  • Relocation Assistance: Not available

Ready to Build Business-Critical Data Solutions?

If you have deep Databricks expertise and experience translating complex Sales Incentive Compensation processes into scalable, accurate and auditable data solutions, this position offers the opportunity to make an immediate impact within a major enterprise environment.

 

Principal, Platform Engineering – Databases – Atlanta, GA (Hybrid)

Principal, Platform Engineering – Databases

📍 Location: Atlanta, GA (Hybrid – 3 Days Onsite / 2 Days Remote)
🏢 Industry: Information Technology / Enterprise Platforms
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: None
💰 Compensation: $144,000 – $210,000 Base Salary

Overview

A global enterprise is seeking a Principal, Platform Engineering – Databases to serve as the technical authority responsible for enterprise database architecture, strategy, standards, and platform engineering initiatives.

This role will lead the design, implementation, optimization, and governance of complex database environments while providing technical leadership across engineering teams. The successful candidate will act as the organization's database subject matter expert, driving platform reliability, scalability, security, and modernization efforts across a highly complex global environment.

This is a hands-on technical leadership position rather than a people-management role.

Key Responsibilities

Database Strategy & Leadership

  • Define enterprise database standards, governance, and best practices.

  • Develop long-term database technology roadmaps.

  • Evaluate emerging database technologies and modernization opportunities.

  • Serve as the primary database subject matter expert across the organization.

  • Mentor engineers and provide technical leadership across platform teams.

Database Architecture & Design

  • Design conceptual, logical, and physical data models.

  • Architect scalable enterprise database solutions.

  • Design, implement, and maintain complex relational database systems.

  • Ensure database environments meet performance, security, and scalability requirements.

  • Lead database architecture reviews and strategic design decisions.

Platform Engineering

  • Design and develop enterprise platform solutions supporting critical business applications.

  • Improve database deployment, automation, and operational processes.

  • Drive continuous improvement initiatives across database engineering functions.

  • Support CI/CD and platform modernization initiatives.

Performance, Reliability & Support

  • Lead troubleshooting of highly complex database and platform issues.

  • Ensure minimal downtime and rapid issue resolution.

  • Develop monitoring, optimization, and performance improvement strategies.

  • Establish documentation standards and operational procedures.

Collaboration & Technical Influence

  • Partner with architects, engineers, product teams, and business stakeholders.

  • Lead technical discussions with both technical and non-technical audiences.

  • Provide strategic guidance on enterprise data and platform initiatives.

Required Qualifications

Experience

✔ 10+ years of database engineering, architecture, or platform engineering experience.

✔ Experience defining:

  • Database standards

  • Technology roadmaps

  • Database governance frameworks

  • Long-term platform strategies

✔ Experience mentoring engineers and providing technical leadership.

Technical Expertise

Oracle Database

  • Expert-level Oracle Database administration and architecture.

  • Advanced SQL expertise.

  • Database performance tuning and optimization.

  • Database security and scalability.

Data Architecture

  • Conceptual data modeling.

  • Logical data modeling.

  • Physical data modeling.

  • Enterprise database design principles.

Platform Engineering

  • Complex relational database systems.

  • Enterprise-scale environments.

  • Documentation and operational standards.

  • Continuous improvement initiatives.

Must-Have Skills

Database Technologies

  • Oracle Database

  • SQL

  • Relational Database Design

  • Database Architecture

  • Data Modeling

Leadership & Strategy

  • Technology Roadmaps

  • Database Governance

  • Technical Mentorship

  • Enterprise Standards Development

  • Continuous Improvement

Engineering

  • Performance Optimization

  • Scalability Planning

  • Security Architecture

  • Troubleshooting & Root Cause Analysis

Screening Questions

  1. Have you defined enterprise database standards, technology roadmaps, and long-term database strategies?

  2. Do you have professional experience creating conceptual, logical, and physical data models for enterprise systems?

  3. Have you designed, implemented, and managed complex relational database environments focused on performance, scalability, and security?

  4. Do you possess expert-level Oracle Database and SQL expertise?

  5. Do you have experience designing, maintaining, and modernizing enterprise database architectures?

  6. Are you legally authorized to work in the United States without requiring current or future visa sponsorship?

Ideal Candidate Profile

The ideal candidate will be a highly technical database architect who:

  • Serves as the go-to expert for Oracle database technologies.

  • Has led database strategy and governance initiatives within large global enterprises.

  • Possesses deep expertise in enterprise database architecture and relational data modeling.

  • Can influence both technical and business stakeholders.

  • Enjoys mentoring engineers and raising technical standards across teams.

  • Has experience operating within highly complex, mission-critical environments.

  • Drives modernization, automation, and continuous improvement initiatives.

Candidate Snapshot

Requirement

Details

Experience

10+ Years Database Engineering / Architecture

Database Expertise

Oracle DB & SQL (Expert Level)

Architecture

Conceptual, Logical & Physical Data Modeling

Leadership

Technical Leadership & Mentorship

Industry

Enterprise IT / Platform Engineering

Location

Atlanta, GA (Hybrid)

Compensation

$144K – $210K

Visa Sponsorship

Not Available

Relocation

Not Available

What Makes Someone Successful in This Role?

  • Deep Oracle database expertise.

  • Strong enterprise architecture and data modeling skills.

  • Ability to define standards and long-term technology direction.

  • Proven success leading complex database modernization efforts.

  • Strong communication skills with both business and technical stakeholders.

  • Passion for mentoring engineers and improving engineering practices.

  • Ability to balance strategic thinking with hands-on technical execution.

 

Senior Revenue Cycle Business Analyst – Remote USA | Epic Clarity Certified

Senior Revenue Cycle Business Analyst
Remote | Full-Time | United States

This is an exciting opportunity for a highly analytical and technically advanced Revenue Cycle professional to join a forward-thinking healthcare organisation driving innovation across enterprise analytics and operational performance.

Ideal for candidates with deep expertise in Epic Clarity, healthcare billing data, and business intelligence technologies, this role offers the chance to influence strategic decision-making through advanced analytics, predictive modelling, and enterprise reporting initiatives.

This is a fully remote opportunity, providing flexibility while working on high-impact projects within a complex healthcare environment.

The Opportunity

Reporting into senior analytics leadership, you will play a key role in developing and delivering enterprise-level Revenue Cycle reporting, insights, and data solutions that directly support operational strategy and financial performance.

You will:

  • Design, develop, test, and deploy enterprise reporting solutions and dashboards

  • Analyse complex hospital and professional billing datasets to drive operational insight and accountability

  • Collaborate with business leaders, analysts, and stakeholders to define analytical requirements and reporting strategies

  • Develop predictive and prescriptive analytics models supporting denials management, AR optimisation, and cash forecasting

  • Build and maintain certified datasets serving as the central source for Revenue Cycle KPI reporting

  • Leverage SQL, Tableau, Crystal Reports, and advanced analytics tools to support enterprise decision-making

  • Lead or contribute to strategic analytics and data governance initiatives

  • Translate complex analytical findings into concise executive-level presentations and recommendations

  • Drive continuous improvement and modernisation across reporting and business intelligence capabilities

Compensation & Benefits

  • Salary: $78,000 – $113,000

  • Schedule: Full-Time

  • Location: Fully Remote within the United States

  • Sign-On Bonus: Not offered

  • Relocation Assistance: Not required

Comprehensive Benefits Package Includes:

  • Medical, Dental, and Vision Insurance

  • Life Insurance

  • Retirement Plan

  • Generous Paid Time Off

  • Additional wellbeing and professional development programs

What Makes This Role Stand Out

  • Fully remote opportunity with strong work-life flexibility

  • High visibility across Revenue Cycle and Analytics leadership teams

  • Opportunity to work with enterprise-scale healthcare data environments

  • Exposure to advanced predictive analytics and business intelligence initiatives

  • Strong focus on innovation, data governance, and operational transformation

  • Collaborative culture that values analytical thinking, continuous improvement, and strategic impact

Candidate Profile

Essential Requirements:

  • Epic Revenue Data Model (Clarity) Certification

  • 3+ years of Revenue Cycle, managed healthcare, or insurance operations experience

  • Strong understanding of Hospital Billing and Professional Billing data

  • Advanced expertise with SQL, Tableau, and Crystal Reports

  • Strong knowledge of relational databases, data modelling, and OLAP technologies

  • Bachelor’s degree in Health Informatics, Finance, or related field

Preferred Qualifications:

  • Master’s degree in Health Informatics, Business, Public Health, or related field

  • Experience developing standardised Revenue Cycle KPI datasets and governance frameworks

  • Experience building predictive analytics and root cause analysis models

  • Exceptional communication and stakeholder engagement skills

  • Strong analytical mindset with the ability to work independently in fast-paced environments

This is an excellent opportunity for a Senior Revenue Cycle Analyst seeking a role that combines advanced analytics, enterprise visibility, technical innovation, and meaningful operational impact within a complex and evolving healthcare environment.

 

Data Engineer | AWS, Python & Snowflake | Ridgefield, CT (Hybrid) | $140K–$185K

🧠 Data Engineer

Before reading further, here are three non-negotiables that the client has made absolutely clear:

This is a Direct Hire (W2) permanent position. No C2C, no 1099, no third parties.

Candidates must NOT require sponsorship now or in the future. We can only consider US Citizens or Green Card holders who can work long-term without restriction.

The role is Hybrid — non-negotiable. You must be onsite 2–3 days per week in Ridgefield, CT, so candidates must already live within commuting distance or be willing to relocate.
(The good news: the company offers excellent benefits and is open to relocation support or a sign-on bonus for the right hire.)

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
💼 Openings: 2
🏢 Industry: Information Technology / Life Sciences
🎓 Education: Bachelor’s degree in Computer Science, MIS, or related field (Master’s preferred)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for the ideal candidate
💰 Compensation: $140,000 – $185,000 base salary + full benefits
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Step into the future with a global leader in healthcare innovation — where Data and AI drive transformation and impact millions of lives.

As part of the Enterprise Data, AI & Platforms (EDP) team, you’ll join a high-performing group that’s building scalable, cloud-based data ecosystems and shaping the company’s data-driven future.

This role is ideal for a hands-on Data Engineer who thrives on designing, optimizing, and maintaining robust data pipelines in the cloud, while collaborating closely with architects, scientists, and business stakeholders across the enterprise.

🧭 Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines and integration frameworks to enable advanced analytics and AI use cases.

  • Collaborate with data architects, modelers, and data scientists to evolve the company’s cloud-based data architecture strategy (data lakes, warehouses, streaming analytics).

  • Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift), ensuring data quality, integrity, and security.

  • Implement data validation, monitoring, and troubleshooting processes to ensure high system reliability.

  • Work cross-functionally with IT and business teams to understand data requirements and translate them into scalable solutions.

  • Document architecture, workflows, and best practices to support transparency and continuous improvement.

  • Stay current with emerging data engineering technologies, tools, and methodologies, contributing to innovation across the organization.

🧠 Core Requirements

Technical Skills

Hands-on experience with AWS data services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
✅ Strong proficiency in Python and SQL for data manipulation and pipeline development.
✅ Experience in data warehousing and modeling (dimensional modeling, Kimball methodology).
✅ Familiarity with DevOps and CI/CD practices for data solutions.
✅ Experience integrating data between applications, data warehouses, and data lakes.
✅ Understanding of data governance, metadata management, and data quality principles.

Cloud & Platform Experience

  • Expertise in AWS, Azure, or Google Cloud Platform (GCP) – AWS preferred.

  • Knowledge of ETL/ELT tools such as Apache Airflow, dbt, Azure Data Factory, or AWS Glue.

  • Experience with Snowflake, PostgreSQL, MongoDB, or other modern database systems.

Education & Experience

🎓 Bachelor’s degree in Computer Science, MIS, or related field
💼 5–7 years of professional experience in data engineering or data platform development
⭐ AWS Solutions Architect certification is a plus

🚀 Preferred Skills & Attributes

  • Deep knowledge of big data technologies (Spark, Hadoop, Flink) is a strong plus.

  • Proven experience troubleshooting and optimizing complex data pipelines.

  • Strong problem-solving skills and analytical mindset.

  • Excellent communication skills for collaboration across technical and non-technical teams.

  • Passion for continuous learning and data innovation.

💰 Compensation & Benefits

💵 Base Salary: $140,000 – $185,000 (commensurate with experience)
🎯 Bonus: Role-based variable incentive
💎 Benefits Include:

  • Comprehensive health, dental, and vision coverage

  • Paid vacation and holidays

  • 401(k) retirement plan

  • Wellness and family support programs

  • Flexible hybrid work environment

🧩 Candidate Snapshot

  • Experience: 5–7 years in data engineering or related field

  • Key Skills: AWS Glue | Python | SQL | ETL | CI/CD | Snowflake | Data Modeling | Cloud Architecture

  • Seniority Level: Mid–Senior

  • Work Arrangement: 2–3 days onsite in Ridgefield, CT

  • Travel: Occasional

🚀 Ready to power the future of data-driven healthcare?
Join a global data and AI team committed to harnessing the power of cloud and analytics to drive discovery, innovation, and meaningful impact worldwide.

Cloud Data Architect | AWS & Snowflake | Ridgefield, CT (Hybrid) | $170K–$210K

☁️ Cloud Data Architect

Before reading further, here are three non-negotiables that the client has made absolutely clear:

This is a Direct Hire (W2) permanent position. No C2C, no 1099, no third parties.

Candidates must NOT require sponsorship now or in the future. We can only consider US Citizens or Green Card holders who can work long-term without restriction.

The role is Hybrid — non-negotiable. You must be onsite 2–3 days per week in Ridgefield, CT, so candidates must already live within commuting distance or be willing to relocate.
(The good news: the company offers excellent benefits and is open to relocation support or a sign-on bonus for the right hire.)

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
🏢 Industry: Pharmaceutical / Biotech / Information Technology
🎓 Education: Bachelor’s degree in Computer Science, Information Technology, or related field (or 10+ years equivalent IT experience)
💼 Experience Level: Mid–Senior (7–10 years)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for ideal candidate
💰 Compensation: $170,000 – $210,000 base salary + benefits + potential performance bonus
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Join a global leader in life sciences as a Cloud Data Architect, driving innovation and digital transformation within the Enterprise Data, AI & Platforms organization.

In this role, you’ll design and implement scalable, secure, and intelligent cloud-based data architectures that power analytics, AI, and digital products across the business. You’ll partner with data leaders, business stakeholders, and cross-functional technology teams to shape how data is collected, managed, and transformed into actionable insights.

If you’re passionate about modern data ecosystems, cloud architecture, and leveraging AI-driven solutions to impact patient outcomes — this is an opportunity to make a global difference.

🧭 Key Responsibilities

  • Design and implement efficient, scalable cloud-based data architectures that align with business and technology goals.

  • Develop and optimize data models, schemas, and database designs supporting structured and unstructured data.

  • Collaborate with business stakeholders, data domain owners, and data scientists to define data requirements and implement robust solutions.

  • Lead data modernization projects and support cloud migration strategies using AWS technologies.

  • Partner with governance teams to establish and maintain data policies, access frameworks, and sharing standards.

  • Enhance data pipelines for ingestion, transformation, and integration of diverse datasets across domains.

  • Provide technical leadership and mentorship to data engineering and development teams.

  • Stay ahead of emerging data technologies, AI/ML innovations, and architectural best practices to drive continuous improvement.

🧠 Core Qualifications

7+ years in data management and architecture, including experience as a Data Architect.
5+ years hands-on experience with cloud platforms (AWS required) and enterprise data solutions.
✅ Proven track record leading cloud modernization or data transformation projects.
✅ Strong experience with AWS components (S3, Glue, Lambda), Snowflake, Apache Parquet, and SQL/NoSQL databases.
✅ Proficiency with ETL tools such as dbt, SnapLogic, and middleware integrations.
✅ Expertise in data modeling, data pipeline optimization, and semantic data structures.
✅ Experience developing Knowledge Graphs and semantic data models using ontologies and taxonomies.
✅ Understanding of AI/ML data pipelines, including use cases in NLP, recommendation engines, and predictive analytics.
✅ Deep knowledge of data governance, quality, and lifecycle management.
✅ Excellent communication and collaboration skills to effectively engage technical and business teams.

💡 Preferred Skills & Certifications

AWS Solutions Architect certification (Associate or Professional).
⭐ Familiarity with Innovator or similar enterprise architecture tools.
⭐ Experience within pharmaceutical or biotech industries — particularly in commercial data domains or GxP environments.
⭐ Strong analytical and problem-solving mindset, with the ability to defend and present technical design decisions.
⭐ Exposure to Agile/Scrum delivery models and distributed global teams.

💰 Compensation & Benefits

💵 Base Salary: $170,000 – $210,000 (commensurate with experience)
🎯 Bonus: Role-specific or performance-based
💎 Benefits Include:

  • Comprehensive medical, dental, and vision coverage

  • Paid time off, holidays, and flexible hybrid schedule

  • 401(k) retirement plan with company match

  • Wellness, family support, and professional development programs

  • Global collaboration and mobility opportunities

🧩 Candidate Snapshot

  • Experience: 7–10 years in data architecture and cloud systems

  • Specialization: AWS Cloud | Data Modeling | ETL | Data Pipeline Design | Data Governance

  • Certifications: AWS Solutions Architect (preferred)

  • Seniority: Mid–Senior

  • Work Arrangement: 2–3 days onsite in Ridgefield, CT

  • Travel: Occasional

🌍 Why This Role Matters

This position sits at the heart of the company’s global data strategy — shaping how data is collected, structured, and leveraged to accelerate drug discovery, digital medicine, and patient outcomes. You’ll be part of a collaborative, innovation-driven environment where your work has a tangible impact on global healthcare advancements.

🚀 Ready to architect the future of cloud data innovation?
Join a team that’s transforming how data powers scientific breakthroughs and smarter decision-making — for patients, healthcare providers, and communities worldwide.

 

Senior Supply Chain Manager | Medical Devices | $150K–$160K | Sumter, SC

Job Title: Senior Supply Chain Manager
Location: Sumter, South Carolina (Onsite – Manufacturing Facility)
Industry: Medical Technology / Medical Devices
Employment Type: Full-Time
Seniority Level: Mid-Senior
Travel: Up to 25%
Visa Sponsorship: Not Available
Security Clearance: Not Required
Relocation Assistance: Possible for the right candidate
Compensation: $150,000–$160,000 base salary + full benefits
Bonus Eligible: No
Interview Travel Reimbursed: Yes

Overview:

This role is a strategic and hands-on leadership opportunity within a leading global medical technology manufacturer. The Senior Supply Chain Manager will lead the end-to-end supply chain operations for a high-volume manufacturing plant, overseeing planning, purchasing, sterilization, product flow, shipping, and master data governance. This individual will play a critical role in ensuring supply continuity, operational efficiency, inventory optimization, and cross-functional collaboration with corporate, regional, and site-based stakeholders.

Key Responsibilities:

Purchasing & Supplier Management

  • Lead procurement of raw materials, components, MRO supplies, and capital equipment.

  • Direct issuance of purchase orders and lead resolution of non-conforming materials with supplier quality teams.

  • Collaborate with One Company Procurement (OCP) for corporate sourcing compliance and improvements.

Planning & Scheduling

  • Align with global supply chain teams to balance plant efficiency with customer demand.

  • Evaluate master production schedules and global demand for molded components.

  • Drive production plan adjustments and support mitigation strategies for material shortages.

Master Data Management

  • Oversee materials control documentation, ISO/QSR/SOX compliance, and ERP data governance.

  • Lead process improvement initiatives in SAP and Apriso systems.

Sterilization Operations

  • Oversee the operation and optimization of the on-site Gamma sterilizer – the plant’s bottleneck process.

  • Liaise with microbiology, corporate sterilization, and assurance teams for SOP alignment and continuous improvement.

Shipping & Logistics

  • Ensure talent and processes are in place to support outbound product flow to distribution centers and partner plants.

Leadership of Supply Chain Teams

  • Directly manage 3 supply chain managers overseeing inbound, outbound, and planning functions.

  • Represent the plant in divisional Integrated Reconciliation Meetings and strategic planning forums.

  • Lead strategic initiatives including manufacturing transfers, make vs. buy analysis, and business continuity planning.

Reporting & Strategic Collaboration

  • Prepare and analyze capacity reports, forecast alignment, and budget planning documents.

  • Coordinate with finance, CI leadership, and marketing to ensure aligned business performance.

  • Coach and develop a team of exempt supply chain professionals in line with corporate strategies.

Minimum Qualifications:

  • Bachelor’s Degree in Business, Engineering, Supply Chain or a related field

  • 10+ years of experience in supply chain management within a manufacturing environment

  • Strong background in planning, procurement, supplier performance management, and logistics

  • Proficiency in SAP and Apriso systems

  • Demonstrated success in leading teams and managing cross-functional projects

Preferred Qualifications:

  • 15+ years of total experience in manufacturing or supply chain operations

  • Prior experience managing supply chain disruptions (e.g., raw material delays, port congestion)

  • Background in strategic supplier negotiations, cost reduction, and demand forecasting

  • Familiarity with ISO, QSR, and SOX compliance requirements

  • Continuous Improvement (CI) and transformation experience, including digitalization

Work Environment:

  • This is an on-site leadership role based in a non-smoking, regulated manufacturing environment.

  • Steel toe, non-slip footwear is required in production areas.

  • Jewelry, false eyelashes, press-on nails, and visible dermals are prohibited in production zones for safety and compliance.

Why Join?

  • Be part of a high-performing, collaborative team that supports career growth and development

  • Play a key role in ensuring medical products reach global customers safely and efficiently

  • Join a company with a strong reputation for ethical operations, innovation, and global impact

  • Contribute to critical healthcare solutions and operational excellence at a global scale

 

Risk & Governance Lead – AI & Data Governance | $150K–$165K | McLean, VA / Plano, TX / NYC (Hybrid)

Risk & Governance Lead – Investments & Capital Markets (AI & Data Governance)

📍 Location: Hybrid – 3 days onsite in McLean, VA, Plano, TX, or New York, NY
💼 Employment Type: Full-Time | Mid-Senior Level
💲 Salary Range: $150,000 – $165,000 USD (eligible for annual incentive program)
🎁 Benefits: Comprehensive total rewards package, health coverage, retirement plan, paid time off, and professional development opportunities
🚚 Relocation: Not available
🛂 Visa Sponsorship: Not available
✈️ Travel: None

Shape the Future of AI Risk & Data Governance

Are you passionate about safeguarding the responsible use of AI and ensuring the integrity of critical financial data? This is your opportunity to step into a high-impact leadership role at the intersection of risk management, data governance, and emerging technology.

As the Risk & Governance Lead for Investments & Capital Markets, you will champion data security and compliance for AI-driven models, working closely with senior leaders, technology teams, and compliance experts. Your mission: build a governance framework that balances innovation with regulatory rigor—ensuring AI and data assets are managed ethically, securely, and strategically.

Your Impact

  • Partner Across the Enterprise – Work with legal, technical, and business teams to identify model data risks and influence decision-making

  • Drive Risk Assessments – Evaluate and mitigate risks in divisional data management and AI initiatives

  • Develop & Enforce Policies – Shape governance standards for model data in line with industry regulations and best practices

  • Champion Ethical AI – Advocate for transparency, fairness, and accountability in AI model design and use

  • Enhance Security – Collaborate with InfoSec teams to address vulnerabilities in model data management

  • Ensure Compliance – Oversee adherence to AI and data governance policies, providing guidance and oversight

  • Build Awareness – Lead training programs on AI ethics, data management, and risk best practices

  • Measure What Matters – Create KPIs, KRIs, and reporting frameworks to track governance effectiveness

What You Bring

  • Bachelor’s degree (or equivalent experience)

  • 8+ years in relevant fields, including at least 6 years in operational risk management, compliance, or technology risk

  • Strong understanding of data management best practices and AI technologies (machine learning, NLP, large language models, computer vision)

  • Knowledge of regulations such as GDPR, CCPA, and industry standards (e.g., IEEE, NIST, ISO/IEC)

  • Proven ability to build and maintain cross-functional relationships

  • Exceptional communication skills—able to bridge technical and business audiences

Preferred:

  • 2–5 years of leadership experience

  • Experience with model risk management in financial services

  • Familiarity with housing finance or capital markets

Why This Role?

  • 💡 High-Impact Work – Influence AI governance across a major financial institution

  • 🌐 Cross-Functional Exposure – Collaborate with leaders across legal, compliance, risk, and technology

  • 📈 Career Development – Access to training, mentorship, and advancement opportunities

  • 🏦 Mission-Driven Organization – Be part of a team making housing more accessible and affordable nationwide

The Ideal Candidate

You’re a risk leader with a passion for AI governance, a deep understanding of data security frameworks, and the ability to balance compliance with innovation. You think strategically, act decisively, and know how to turn complex governance requirements into actionable, enterprise-wide practices.

 

Data Engineer Consultant | Hybrid | Netherlands | €77K–€88K + €3K Bonus

Job Title: Data Engineer Consultant

Location: Netherlands (Hybrid - 2 days office, 3 days home)
Industry: Data Engineering
Compensation: €77,472 - €87,840 per year (€3,200 - €4,000 monthly)
Monthly Bonus: €3,000
Working Hours: Minimum 36 hours per week
Vacation Days: 25
Mobility Budget: €450 monthly
Visa Sponsorship: Not Available
Languages Required: Fluent Dutch and English
Relocation Assistance: Not Available
Holidays: 25

Job Description

As a Data Engineer Consultant, your primary responsibility is to prepare data for analytical or operational use. You will build data pipelines to bring together information from different source systems. You will integrate, consolidate, and clean the data before structuring it for use in analytical applications.

While working on challenging assignments with our clients, we also focus on your professional growth. We believe in helping you discover and unlock your potential through coaching, training, and sharing knowledge. This enables you to continue developing as a professional and helps us serve our clients even better.

Ideal Candidate

The ideal candidate should possess deep knowledge of data engineering and data modeling, both conceptually and dimensionally. You should have experience with various cloud architectures, such as Microsoft Azure or AWS, and be familiar with working in Scrum, Agile, and DevOps methodologies. You should be proficient in technologies such as Databricks, Spark Structured Streaming, and PySpark, and be capable of translating user requirements into appropriate solutions. Additionally, you should be skilled in analyzing source data and designing effective data models.

Key Responsibilities

  • Data Engineering: Build and maintain data pipelines, integrate data from various source systems, and structure it for analytical purposes.

  • Data Modeling: Apply conceptual and dimensional data modeling techniques to ensure data can be leveraged effectively.

  • Technology Application: Use Databricks, Spark, and PySpark to build robust data solutions.

  • Collaboration: Work within Scrum and Agile teams to develop data solutions that meet business needs.

Skills & Qualifications

Must-Have Skills

  • Data Engineering

  • Data Modeling

  • Scrum, Agile, DevOps methodologies

  • Python

  • MySQL

  • Microsoft Azure

  • Bachelor’s degree (HBO or equivalent)

  • Fluency in Dutch

Preferable Skills

  • Databricks

  • Microsoft Power BI

  • Azure Data Factory

  • Data Vault

  • Data Governance

  • Bachelor’s degree in Data Science (BSc) or Computer Science (BSc)

  • Data Engineering on Microsoft Azure (DP-203) certification

  • Proficiency in English

Soft Skills

  • Strong communication skills

  • Adaptability

  • Teamwork and collaboration

  • Problem-solving abilities

  • Self-driven and motivated

Experience

  • More than 5 years of experience working in complex data environments at top 500 companies.

Compensation & Benefits

  • Annual Salary: €77,472 - €87,840

  • Monthly Salary: €3,200 - €4,000

  • Monthly Bonus: €3,000

  • Mobility Budget: €450

  • Extra Benefits: Pension package, phone, expenses reimbursement, lease budget, and laptop.

Working Conditions

  • Hybrid Work: 2 days in the office, 3 days remote

  • Vacation: 25 days off per year

  • Visa Sponsorship: Not available

  • Relocation Assistance: Not available

  • Working Hours: Minimum of 36 hours per week

 

Enterprise Analytics Manager, Houston, TX - $140,000 - $180,000

Enterprise Analytics Manager, Houston, TX
Full-Time, Permanent
$140,000 - $180,000
10/20% Bonus + Benefits

MINIMUM QUALIFICATIONS

Education:

  • Bachelor’s Degree in Information Systems, Computer Science, Data Science, Business Analytics, or equivalent experience required.

Licenses/Certifications:

  • None required.

Experience / Knowledge / Skills:

  • Minimum of five (5) years of experience in analytics and information systems, including at least three (3) years in a leadership role.

  • Strong oral and written communication skills.

  • Customer-focused with a collaborative mindset.

  • Results-oriented, capable of thriving in a fast-paced environment and managing multiple projects.

  • Excellent interpersonal and time management skills.

  • Familiarity with business intelligence tools, data science tools, and dashboard software, including but not limited to:

    • Database and Query Languages: SQL, Nomad, Oracle, Vertica, Snowflake

    • Visualization Tools: Tableau (preferred), Spotfire, Sisense, Qlik, Microsoft Power BI

    • Data Visualization Server Admin Tools: Tableau Core, Data Management Server

    • Data Prep/Transformation Tools: Tableau Prep, Hadoop, Alteryx, Trifacta, Talend

    • Statistical Tools: R, SAS, SPSS, Matlab, Minitab

    • Data Science Tools: Python, R, SAS, dataiku, DataRobot, Anaconda

PRINCIPAL ACCOUNTABILITIES

  • Align departmental initiatives with organizational goals to support strategic objectives.

  • Lead, motivate, and oversee teams responsible for data collection, modeling, analysis, and insights to drive value.

  • Foster transparent communication through departmental and cross-functional meetings with key stakeholders.

  • Manage resource needs and promote professional growth within the team by setting and tracking performance goals and development plans.

  • Oversee and prioritize analytics requests, strategically managing timelines, deliverables, and resource allocation.

  • Collaborate with executive leadership to deliver data-driven insights that align with enterprise goals and priorities.

  • Monitor and manage budgets related to analytics projects or operations.

  • Serve as an advisor to leadership on analytics strategy and data-driven decision-making.

  • Build and maintain relationships with internal and external customers, vendors, and regulatory agencies.

  • Oversee the design and delivery of analytics solutions that enable informed decision-making through operational metrics.

  • Provide timely updates and executive summaries to leadership and stakeholders.

  • Act as a mentor and coach, fostering a culture of collaboration and continuous improvement.

  • Establish quality controls and standards to meet organizational expectations and regulatory requirements.

  • Ensure compliance with policies, including security, access control, and data privacy standards (e.g., HIPAA).

  • Manage foundational analytics tools and systems, ensuring availability, growth, and support.

  • Administer and oversee the onboarding of data into the Enterprise Data Warehouse Platform, as well as third-party data submissions.

  • Support the growth of analytics capabilities across the organization by promoting transparency and usage of existing tools and products.

  • Mentor and train analytics user groups in tools such as Tableau, Business Objects, and SQL.

  • Encourage adoption of data-driven decision-making through existing analytical products.

OTHER EXPECTATIONS

  • Adhere to organizational policies, procedures, and standards related to quality, productivity, and resource management.

  • Promote professional growth through continuing education and skills development.

  • Serve as a mentor and resource for less experienced staff.

  • Demonstrate a commitment to personalized and efficient service for all stakeholders.

Other duties as assigned.

This version removes specific organizational references and rewrites certain sections to ensure uniqueness. Let me know if additional adjustments are needed!

 

Global Head of Commercial Data Foundations (VP Level) - Cambridge, MA - $300,000 - $380,000

Global Head of Commercial Data Foundations (VP Level)
Cambridge, MA
$300,000 - $380,000

Job Description

We are committed to delivering next-generation solutions in healthcare, leveraging data insights and responsibly applying AI to drive deeper understanding and faster solutions. The Global Head of Commercial Data Foundations is a critical leadership role responsible for developing and implementing the overall strategy for Commercial Data Foundations, as well as managing all related digital and data products.

 

Key Responsibilities

  • Commercial Data Strategy: Define and execute the strategy for Commercial Data Foundations, ensuring alignment with business priorities and evolving market ecosystems.

  • Standardization and Efficiency: Promote simplification, harmonization, and efficiency within the data platform landscape through convergence and integration.

  • Future-Ready Solutions: Design strategies to prepare the organization for evolving commercial needs, enabling high-value, data-driven use cases.

  • Product Development: Build and manage a portfolio of digital products to enhance Commercial Data Foundations, ensuring scalability and global distribution.

  • Collaboration: Work closely with data Centers of Excellence and advanced analytics/AI teams to optimize data tools, platforms, and technologies.

  • Data Governance: Partner with data governance leaders across business units to enable robust governance practices.

  • Leadership: Oversee a Commercial Data Engineering Center of Excellence, fostering innovation and operational excellence.

 

Qualifications

  • Education: Bachelor’s or advanced degree in Computer Science, Data Science, Information Technology, Statistics, or Business Administration with a focus on Information Systems.

  • Experience:

    • Proven success in leading digital and technology initiatives within matrix organizations.

    • Demonstrated ability to build and manage high-performing teams in diverse markets.

    • A strong track record in creating and scaling digital solutions globally.

  • Language: Fluency in oral and written English.

 

Technical Skills

  • Data Management: Proficiency in relational databases (e.g., SQL, NoSQL, Graph/Vector Databases) and Data Lakes.

  • Data Visualization: Experience with tools like Tableau, Power BI, or Qlik.

  • Integration: Expertise in data integration tools (e.g., IICS) and combining data from diverse sources.

  • Cloud Platforms: Familiarity with leading cloud environments.

 

Why Join Us?

  • Growth Opportunities: Foster your career development through promotions, lateral moves, and international roles.

  • Comprehensive Benefits: Access a robust rewards package, including healthcare, wellness programs, and parental leave.

  • Inclusive Culture: Join a diverse team united by a shared mission to drive progress and deliver extraordinary results.

 

Equal Opportunity

We are dedicated to creating a culturally inclusive and diverse workplace. All qualified applicants will be considered without regard to race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

 

 

Senior Data Governance – McLean, VA – Hybrid

Senior Data Governance – McLean, VA – Hybrid
$105,000 - $157,000

Position Overview 

 

Are you passionate about driving excellence in Information Risk Governance? Do you thrive in a dynamic environment where you can make a significant impact? If so, this opportunity is for you! 

 

A leading organization in the financial services sector is seeking a Senior Data Governance Specialist to join its dedicated first-line risk governance team. This role focuses on data governance, privacy, and cyber compliance while implementing cutting-edge identity and access management strategies. You will collaborate closely with key stakeholders, leveraging your organizational prowess and attention to detail to ensure adherence to high standards in information risk policies and procedures. 

 

Your Contributions Will Include: 

 

- Shaping innovative strategies around data quality and metadata governance. 

- Developing and maintaining processes aligned with privacy, security, and digital governance standards. 

- Managing an accurate inventory of applications and overseeing access governance activities. 

- Monitoring and adapting to changes in industry standards to refine risk policies. 

- Providing insights through information risk metric reporting. 

- Leading phishing protocols, including training and guideline creation. 

- Partnering with teams across business and technology functions to implement effective governance strategies. 

- Creating management reports on information risk initiatives. 

 

What You Bring to the Table: 

 

- Experience: 5–8 years in information risk governance within the financial services industry. 

- Education: Bachelor’s degree in IT, Finance, or a related field (or equivalent experience). 

- Expertise: Strong knowledge of business process flows, metadata, and data lineage, with a proven ability to craft operational policies and manage risks such as privacy, cyber, and identity governance. 

- Skills: Exceptional verbal and written communication, critical thinking, and problem-solving abilities. 

 

What Sets You Up for Success: 

 

- A proactive, self-starter attitude with a passion for tackling challenges. 

- Deep expertise in privacy risk, cyber risk, and data governance. 

- A collaborative spirit that questions the status quo and drives innovation. 

- Stellar organizational skills and a strong work ethic to manage competing priorities. 

 

Why Join Us? 

 

Be part of a forward-thinking team committed to excellence in governance and risk management. With opportunities to influence critical strategies, this role is perfect for someone eager to make a difference in a fast-paced and impactful environment. 

 

Take the next step in your career journey—apply today!