CTO Co-Founder – Healthcare Payments AI Startup – New York, NY

CTO Co-Founder – Healthcare Payments AI Startup

📍 Location: New York, NY (Onsite)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
💰 Compensation: $150,000 Base + 15–20% Equity

Overview

A funded early-stage healthcare AI startup is seeking a hands-on CTO Co-Founder to lead technology strategy, product development, architecture, and engineering execution.

The company is building an AI-powered platform focused on transforming healthcare payments, claims processing, revenue cycle management, and financial workflow automation. This is a true 0-to-1 opportunity for a technical leader who wants to build both the product and the company from the ground up.

Key Responsibilities

Technology & Product Leadership

• Own the technology vision, architecture, and engineering roadmap.

• Build and launch the company’s initial MVP and commercial platform.

• Evaluate and select the technology stack and infrastructure.

• Design secure, scalable systems for healthcare payment and claims workflows.

AI & Workflow Automation

• Build AI-driven workflow automation and operational intelligence capabilities.

• Develop data ingestion, normalization, and decision-support solutions.

• Implement automation for claims, reimbursement, reconciliation, and payment processes.

Engineering Leadership

• Recruit, hire, and lead the founding engineering team.

• Establish development standards, processes, and engineering culture.

• Drive execution from concept through production deployment.

Strategic Collaboration

• Work directly with the CEO, investors, advisors, and early customers.

• Translate customer needs into scalable technical solutions.

• Support fundraising, product strategy, and commercial growth initiatives.

Required Qualifications

Experience

✔ 0-to-1 Product Development Experience

✔ Hands-On Software Engineering & Architecture

✔ AI / ML & Workflow Automation

✔ Engineering Team Leadership

✔ Healthcare Payments, Revenue Cycle, FinTech, or Transaction-Based Systems Experience

✔ 10+ Years of Technical Experience

Education

• Bachelor's Degree in Computer Science, Engineering, or related field.

• Graduate of a top-tier university strongly preferred.

Preferred Backgrounds

• Healthcare Technology

• Revenue Cycle Management (RCM)

• Claims Processing Platforms

• Payments & FinTech

• AI Workflow Automation

• Enterprise SaaS

• Data Infrastructure

• Healthcare Interoperability

Ideal Candidate

The ideal candidate is a builder-first technical leader who has:

• Personally built and launched software products from MVP to production.

• Experience operating in startups or high-growth environments.

• Strong software architecture and coding skills.

• Experience developing AI-powered products or automation platforms.

• Knowledge of healthcare payments, claims, revenue cycle, or other regulated transaction-heavy industries.

• Experience recruiting and leading engineering teams.

• Ability to communicate effectively with customers, executives, and investors.

Healthcare payments experience is highly desirable but candidates from fintech, enterprise workflow automation, or regulated data-intensive industries will also be considered.

Candidate Snapshot

Requirement

Details

Level

CTO / Co-Founder

Experience

10+ Years

Location

New York, NY (Onsite)

Industry

Healthcare AI / FinTech

Education

Bachelor's Degree Required

Equity

15–20%

Relocation

No

Sponsorship

No

Screening Questions

1. Have you personally built and launched a software product from MVP to production?

2. Describe your experience leading 0-to-1 product development initiatives.

3. What AI, machine learning, or workflow automation products have you built?

4. Do you have experience in healthcare payments, revenue cycle management, claims processing, or fintech?

5. Have you recruited and led engineering teams in a startup or high-growth environment?

6. What programming languages, frameworks, and cloud technologies have you used to build scalable products?

7. Are you comfortable being a hands-on contributor while also leading the engineering organization?

8. Are you able to work onsite in New York City?

What Makes Someone Successful in This Role?

• Founder mentality and bias toward action.

• Strong technical depth with hands-on coding capability.

• Experience building products in regulated, transaction-heavy environments.

• Ability to move quickly from concept to commercial product.

• Strong communication skills with both technical and non-technical stakeholders.

• Passion for using AI to solve complex operational challenges.

• Desire to build and scale a company, not just a technology platform.

Site Security Automation Cluster Lead – Richmond, VA

Site Security Automation Cluster Lead

📍 Location: Richmond, Virginia (On-Site)
🌎 Travel: Quarterly travel to Long Island, NY (or as needed)
💼 Employment Type: Full-Time
🚚 Relocation Assistance: Available
💰 Salary: $122,000 – $167,750 + Bonus

Overview

A global manufacturing organization is seeking a Site Security Automation Cluster Lead to drive automation, digital manufacturing transformation, and operational cybersecurity across multiple manufacturing facilities.

This leadership role is responsible for automation systems, Operational Technology Networks (OTN), cybersecurity compliance, capital project execution, digital transformation initiatives, and long-term technology roadmaps. The position supports multiple manufacturing sites and serves as the primary automation and cybersecurity expert for the cluster.

Key Responsibilities

Automation & Digital Transformation

• Develop and execute automation and digital manufacturing roadmaps.

• Lead smart manufacturing and Industry 4.0 initiatives.

• Drive automation upgrades, modernization projects, and digital transformation programs.

• Improve site Digital Maturity through increased:

• Computerization

• Connectivity

• Visibility

• Transparency

• Predictive Analytics

• Adaptability

Cybersecurity & Infrastructure

• Own Operational Technology Network (OTN) cybersecurity strategy.

• Ensure compliance with corporate automation, infrastructure, and cybersecurity standards.

• Lead disaster recovery and business continuity planning for automation systems.

• Manage lifecycle planning and replacement of obsolete automation hardware and software.

Capital Projects & Project Management

• Lead automation-related capital projects from concept through implementation.

• Manage project budgets, timelines, and benefit realization.

• Support integration of new production lines, equipment, and digital technologies.

• Track project savings and ROI throughout project execution.

Operational Leadership

• Serve as escalation point for automation, controls, and cybersecurity issues.

• Collaborate with plant engineering, maintenance, operations, and IT teams.

• Manage automation infrastructure, controls systems, and manufacturing technology platforms.

• Support continuous improvement and operational excellence initiatives.

Team & Stakeholder Management

• Lead cross-functional project teams across multiple manufacturing sites.

• Build automation and cybersecurity capability within the organization.

• Partner with regional and global automation leaders on technology strategy and best practices.

• Drive stakeholder engagement focused on process optimization, compliance, and performance improvement.

Required Qualifications

• Bachelor's Degree in Engineering or related technical discipline.

• 10+ years of experience in:

• Industrial Automation

• Controls Engineering

• Manufacturing Systems

• Project Management

• Strong experience with:

• Industrial Control Systems (ICS)

• Operational Technology Networks (OTN)

• Manufacturing Cybersecurity

• Digital Manufacturing Initiatives

Preferred Skills

✔ Industrial Automation
✔ Manufacturing Controls Systems
✔ Operational Technology Networks (OTN)
✔ Cybersecurity for Manufacturing Systems
✔ Industry 4.0 / Smart Manufacturing
✔ Capital Project Management
✔ Digital Transformation
✔ Industrial Networking
✔ Manufacturing Infrastructure
✔ Disaster Recovery & Business Continuity
✔ Continuous Improvement

Ideal Candidate

The ideal candidate is a seasoned Automation or Controls Engineering leader with strong experience managing manufacturing technology environments across multiple facilities.

They will bring:

• Deep expertise in automation systems and industrial cybersecurity.

• Strong project management and capital deployment experience.

• Experience leading digital manufacturing transformation initiatives.

• Ability to influence stakeholders across operations, engineering, maintenance, and IT.

• Strong leadership skills with a focus on continuous improvement and operational excellence.

Candidate Snapshot

Requirement

Details

Experience

10+ Years

Education

Bachelor's Degree in Engineering

Industry

Manufacturing / Food & Beverage

Seniority

Senior-Level

Travel

Quarterly Travel to NY

Location

Richmond, VA (On-Site)

Relocation

Available

Bonus

Eligible

Why Consider This Opportunity?

• Lead automation and cybersecurity strategy across multiple manufacturing sites.

• Drive large-scale Industry 4.0 and digital transformation initiatives.

• High visibility role with significant impact on operational performance.

• Strong compensation package with bonus potential.

• Opportunity to influence the future of smart manufacturing within a global organization.

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.

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.

Lead Data Scientist | Houston, TX | $125K–$140K + Equity + Hybrid Flexibility

Lead Data Scientist

Location: Houston, TX (Onsite)
Level: Senior
Reports To: Director of Data Science
Salary Range: $125,000 – $140,000 (USD)
Benefits: Medical, Dental, Vision, Life Insurance, Retirement, Equity, Paid Time Off, Work From Home Flexibility

About the Role

We are seeking a Lead Data Scientist to spearhead transformative projects that drive impact across the organization. This is a hands-on leadership role where you’ll design advanced models, mentor a team of talented data scientists, and partner with senior stakeholders to solve complex challenges. If you thrive at the intersection of technology, business strategy, and innovation, this role offers the perfect platform to showcase your expertise.

What You’ll Do

• Lead high-visibility projects that directly influence business strategy and decision-making.

• Develop and deploy custom algorithms, models, and predictive analytics that unlock value from complex data sets.

• Translate technical insights into clear, compelling stories for executive-level audiences.

• Mentor and coach junior data scientists, elevating the technical capabilities of the team.

• Research and implement cutting-edge machine learning techniques to improve operational performance.

• Partner with cross-functional teams to identify opportunities, resolve data challenges, and optimize processes.

• Stay at the forefront of emerging tools and vendors, recommending best-fit solutions.

What You Bring

• 7+ years of professional experience in data science, with proven project leadership.

• Strong background in machine learning, advanced statistical modeling, and SQL database management.

• Experience in healthcare data, EHR systems, or financial/revenue cycle data preferred.

• Demonstrated ability to design scalable solutions using AWS (certification required).

• Hands-on expertise in Cogito and other data management platforms.

• Exceptional communication skills – able to engage both technical teams and executive stakeholders.

• A problem-solving mindset with the ability to thrive in fast-paced, multidisciplinary environments.

Interview Process

1. Recruiter Interview

2. Hiring Manager Interview

3. Panel Interview

Why Join Us?

Here, your work won’t just be about numbers – it will be about impact. You’ll have the chance to combine advanced data science with real-world problem solving, shaping decisions that matter.

We celebrate growth, encourage innovation, and foster a culture of collaboration. You’ll be supported by mentors, inspired by peers, and empowered to chart your own career path. Our workplace has been consistently recognized as one of the Top Workplaces in the region, a testament to our values-driven culture and commitment to meaningful work.

Benefits at a Glance

• Comprehensive medical, dental, and vision insurance

• Life insurance and retirement plans

• Equity opportunities

• Generous paid time off

• Flexible work-from-home options

Sr. Director, AI & Data Science | $190K–$300K + Bonus | Wayzata, MN (Hybrid)

Sr. Director, AI & Data Science

📍 Location: Wayzata, Minnesota, United States (Hybrid – scheduled work from home days)
💼 Industry: Information Technology
📊 Category: Business Intelligence
📌 Job Type: Full-time | Onsite with WFH flexibility
💲 Compensation: $190,000 – $300,000 + bonus eligibility
📈 Relocation Assistance: Possible for ideal candidate

About the Company

Our company’s size and scale allow us to make a positive global impact. We are a family company providing food, ingredients, agricultural solutions, and industrial products that are vital for living. With 160,000 colleagues across 70 countries, we connect farmers, customers, and families with essentials every day.

Job Purpose

The Sr. Director of AI & Data Science is a visionary leader responsible for driving high-impact AI applications across the business. This role partners with executives to identify opportunities where AI can provide strategic advantage, shaping how data science transforms decision-making, operations, and customer experience.

The leader will:

• Champion responsible AI practices (governance, risk mitigation, ethics).

• Deliver measurable business outcomes from AI investments.

• Lead and scale a global team of data scientists (transitioning from regional to global scope).

Key Responsibilities

• Partner with business leaders to identify and accelerate AI opportunities.

• Translate complex AI concepts into business-focused narratives for executives.

• Provide strategic oversight of AI product delivery (scope, timeline, budget).

• Champion innovation, continuous improvement, and AI adoption across the business.

• Develop a community of practice for global data scientists to drive reuse and alignment.

• Build and maintain strategic partnerships and alliances to maximize value.

• Lead, coach, and develop a team of 16+ data scientists in an inclusive culture.

• Manage large budgets, ensure measurable ROI, and deliver against business value targets.

Minimum Qualifications

• Bachelor’s in Data Science, Computer Science, Math, Engineering, or related field (or equivalent experience).

• 8+ years of related work experience.

• Experience with at least two machine learning approaches: supervised, unsupervised, reinforcement learning.

• Proven ability to present complex AI solutions to non-technical audiences.

Preferred Qualifications

• Master’s or PhD in Data Science, Computer Science, Math, Engineering, or related field.

• 5+ years of leadership experience (managing teams of data scientists).

• Experience driving enterprise-wide analytics adoption.

• Familiarity with CI/CD pipelines, distributed computing frameworks, and AWS.

• Background in software development/version control.

• Strong business acumen and experience presenting to senior executives.

• Experience in Agriculture or related industries is a plus.

Compensation & Benefits

💲 Base Salary: $190,000 – $300,000
🎯 Bonus Eligible: Yes
🏥 Comprehensive health & wellness benefits
🍼 14 weeks parental leave + prevention & wellness programs
🌎 Sick & Safe Leave: 1 hour for every 30 worked (up to 48 hours annually, unless otherwise required by law)

Candidate Profile

• 7–10+ years’ experience in AI, Data Science, and Analytics.

• Proven ability as a strategic champion to drive AI adoption at scale.

• Leadership experience managing diverse data science teams.

• Strong emotional intelligence (EQ) and collaborative leadership style.

• Comfortable influencing senior executives and non-technical stakeholders.

✅ Security Clearance Required: No
✅ Visa Candidates Considered: No
✈️ Travel: Occasional