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Head of HR Data Governance - Workday

Job in Providence, Providence County, Rhode Island, 02912, USA
Listing for: CVS Health
Full Time position
Listed on 2026-05-24
Job specializations:
  • HR/Recruitment
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position

Summary

We are seeking a Head of HR Data Governance to own the integrity, definition, and security of our core HR data. This role sits at the intersection of People, Technology, and Analytics, establishing scalable governance frameworks that set the standards on how we collect, manage, and protect workforce data across the organization. You will translate policy into practice and partner closely with subject matter experts and our Digital, Data and Technology (DDAT) function.

In this strategically significant role, accurate, well‑governed HR data underpins our ability to make informed people decisions – improving colleague experience and productivity while ensuring HR services are delivered effectively and efficiently. You will enable HR teams to derive meaningful insights without friction, and equip leadership with reliable, timely workforce data – so they can focus on the talent priorities that matter most.

The role is a key enabler of that ambition.

Why this Role Matters

Accurate HR data is not just an operational necessity. It is a strategic asset.

This role directly enables:

  • Informed people decisions that improve colleague experience and productivity.
  • Effective HR delivery, grounded in reliable information about our colleagues.
  • Simpler, faster reporting and insight generation for HR teams.
  • Confident leadership conversations about the workforce, freeing leaders to focus on the talent priorities that matter most.
Key Responsibilities

Define and Maintain HR Data Standards:

  • Own and maintain the authoritative definitions for core HR data elements, working in close partnership with SMEs and key vendors across the People function.
  • Ensure definitions are clearly documented and translated into actionable technical requirements for data consumers, engineers, and analysts.
  • Drive alignment across stakeholder groups where definitions intersect with multiple teams or priorities.
  • Identify, train and coach data stewards across business and technology teams to elevate governance capabilities.

Ensure Data Quality:

  • Design and lead a repeatable process to review, update, and continuously improve HR data quality.
  • Define quality metrics, establish clear ownership, and drive remediation where data does not meet agreed standards.
  • Report on data quality performance to senior stakeholders and use of findings to drive continuous improvement.

Define Role-Based Security Architecture:

  • Define the requirements for who should have access to which HR data and own the decision‑making process that governs how access is granted, reviewed, and revoked.
  • Work in close partnership with DDAT, who are responsible for implementing and maintaining the underlying systems that give effect to those requirements.

Success Measures:

  • HR data definitions are agreed, consistently applied, and trusted across the organization.
  • Data quality measurably improves over time, with clear accountability and visible progress.
  • Access controls are well‑defined, consistently applied, and straightforward to manage and audit.
  • HR, Analytics, and business partners view data governance as an enabler, not a blocker.
  • Governance frameworks are built to scale, remaining robust and relevant as the organization and its data landscape evolve.
Required Qualifications
  • 10+ years of experience in data governance, data management, or a related discipline, preferably within an HR or People function
  • 8+ years of hands‑on experience implementing data quality frameworks, metadata management, and data cataloging practices
  • 8+ years of experience translating business needs into clear requirements and partnering with technology teams to deliver scalable solutions
  • 5+ years of leadership experience in data governance, stewardship, data management, or data quality
  • 5+…
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