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HRIS Technology Consultant (Workday) – Remote (U.S.)

HRIS Technology Consultant (Workday) – Remote

πŸ“ Location: Fully Remote (U.S.)
πŸ’Ό Employment Type: Full-Time
✈️ Travel: Occasional
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Possible for Exceptional Candidates

Overview

A leading financial services organization is seeking an experienced HRIS Technology Consultant to support, optimize, and enhance its cloud-based HR technology environment, with a strong focus on Workday.

This role will serve as a key HRIS subject matter expert, partnering with HR, IT, business leaders, and functional stakeholders to improve system performance, streamline processes, enhance employee experience, and support enterprise-wide initiatives.

Key Responsibilities

Workday Administration & Configuration

  • Provide ongoing support, maintenance, configuration, and optimization of Workday.

  • Gather requirements, configure solutions, perform testing, and migrate changes into production.

  • Support system enhancements, upgrades, and new feature implementations.

  • Review and test vendor releases and recommend adoption of new functionality.

HRIS Consulting & Business Partnership

  • Partner with HR leaders, SMEs, and business stakeholders to improve business processes and system functionality.

  • Advise on security configuration, reporting, integrations, and workflow optimization.

  • Serve as the HRIS lead on enterprise-wide initiatives, including acquisitions, integrations, and transformation projects.

Reporting, Security & Governance

  • Develop and maintain reports, dashboards, and analytics.

  • Ensure HRIS data integrity, governance, and security compliance.

  • Collaborate with IT regarding integrations and downstream system impacts.

  • Maintain documentation and end-user training materials.

Continuous Improvement

  • Identify automation opportunities and process improvements.

  • Develop HR technology roadmaps aligned to business objectives.

  • Monitor industry trends and emerging HR technology capabilities.

  • Mentor and support less experienced team members.

Required Qualifications

Education

  • Bachelor’s Degree in:

    • Information Systems

    • Human Resources

    • Business

    • Related field

  • Equivalent experience may be considered.

Experience

  • 7+ years of HRIS consulting or HR systems experience.

  • Strong Workday experience required.

  • Experience supporting multiple HR functional areas within Workday.

Functional Expertise

Candidates should be proficient in 7 or more of the following areas:

  • HCM

  • Staffing & Organizations

  • Worker Data

  • Time Off & Leave

  • Onboarding

  • Benefits

  • Compensation

  • Talent Management

  • Performance Management

  • Recruiting

  • Payroll

  • Security

  • Integrations

  • Reporting

Technical Skills

βœ” Workday Configuration & Administration

βœ” HRIS Process Design

βœ” Business Process Modeling

βœ” Security Configuration

βœ” Reporting & Analytics

βœ” Integrations

βœ” Advanced Microsoft Excel

βœ” Agile Project Methodologies

βœ” Cloud-Based HR Systems

Ideal Candidate

The ideal candidate is a highly experienced Workday professional with a strong consulting mindset and broad HRIS functional expertise.

They will possess:

  • Deep Workday configuration experience

  • Strong analytical and problem-solving abilities

  • Experience supporting multiple HR functions and stakeholders

  • Expertise across several Workday modules

  • Ability to translate business requirements into scalable HR technology solutions

  • Strong communication and stakeholder management skills

Candidate Snapshot

Requirement

Details

Experience

7–10+ Years

Seniority

Associate / Senior Individual Contributor

Education

Bachelor's Degree

HRIS Platform

Workday

Functional Expertise

7+ HRIS Modules

Industry

Financial Services Preferred

Travel

Occasional

Remote

Fully Remote

Sponsorship

Not Available

Key Screening Questions

  1. Do you have 7+ years of HRIS consulting experience?

  2. What Workday modules have you supported and configured?

  3. Are you proficient in at least 7 HRIS functional areas (HCM, Recruiting, Benefits, Payroll, Security, Reporting, Integrations, etc.)?

  4. Have you led Workday implementations, enhancements, or major configuration projects?

  5. Do you have experience with HRIS security, reporting, and integrations?

  6. Have you worked in a highly regulated or enterprise-scale environment?

  7. Are you comfortable serving as the primary HRIS SME for business stakeholders?

Why Consider This Opportunity?

  • Fully remote position.

  • Opportunity to own and influence Workday strategy and optimization.

  • Exposure to enterprise-wide HR technology initiatives.

  • Strong partnership with HR leadership and business stakeholders.

  • Broad scope across multiple Workday modules and business functions.

  • Opportunity to drive automation, employee experience improvements, and digital transformation initiatives.

 

Senior / Lead Machine Learning Engineer | Python, PyTorch, AI | Fully Remote | $180,000–$215,000

Senior / Lead Machine Learning Engineer

🌍 Location: Fully Remote
πŸ’Ό Employment Type: Full-time
πŸ’° Compensation: $180,000 – $215,000 (base salary, depending on experience)
πŸ“Š Benefits: Full package included

About the Role

We’re seeking a Senior/Lead ML Engineer to drive the development of advanced enterprise AI and intelligent data applications. This is a hands-on role that combines machine learning, data engineering, and software development to deliver practical, production-ready solutions with measurable impact.

If you’re excited about tackling complex engineering challenges in high-standard environments, this role offers strong career growth opportunities, including senior technical leadership pathways.

Key Responsibilities

  • Lead platform upgrades to ensure products remain cutting-edge and effective.

  • Design and manage dynamic dashboards using Python SDKs to turn data into actionable insights.

  • Optimize data pipelines and access patterns for performance and scalability.

  • Troubleshoot and resolve runtime and performance challenges.

  • Architect robust, scalable, and user-friendly applications designed for long-term growth.

  • Collaborate closely with Product Managers to improve usability and ensure real-world impact.

What You Won’t Do

❌ Work in silos – this role requires versatility across ML, data systems, and software engineering.
❌ Focus solely on research without real-world implementation.

Tech Stack

  • Languages & Tools: Python (primary), Docker, Git

  • Libraries & Frameworks: pandas, numpy, scikit-learn, PyTorch

  • Systems & Processes: CI/CD pipelines, monitoring tools, testing frameworks

Requirements

βœ… 4+ years of professional Python software engineering with experience in production ML deployment (beyond prototyping).
βœ… Proven experience with the end-to-end ML lifecycle: model development β†’ deployment β†’ monitoring.
βœ… Strong production systems background in rigorous engineering environments (Big Tech or top-tier startups preferred).
βœ… Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).
βœ… U.S. Citizenship and ability to obtain a government security clearance.

Preferred Qualifications

  • Experience in defense-related applications.

  • Exposure to multiple programming languages and diverse tech stacks.

Soft Skills

  • Strong written and verbal communication.

  • Pragmatic approach with a focus on delivering incremental value.

  • Collaborative, with the ability to mentor and influence peers.

Candidate Profile – Not a Fit If

🚫 Job hopper (<2 years per role).
🚫 Focused mainly on research/data science without production deployment.
🚫 Strong theoretical ML background but lacking hands-on implementation.
🚫 No experience with CI/CD, monitoring, or scalable architecture.
🚫 Consulting/contract-heavy career history.

Compensation & Benefits

πŸ’° Base Salary: $180,000 – $215,000
πŸ“¦ Benefits: Comprehensive full package
πŸ›« Travel: Occasional, interview travel reimbursed
πŸ“ Relocation: Not available

πŸ‘‰ Ready to shape the future of AI-driven enterprise applications? Apply now and step into a role where your engineering expertise drives real-world innovation.