
Director, Data & AI Strategy, Governance – Enterprise Finance
CVS Health
full-time
Posted on:
Location Type: Remote
Location: Rhode Island • Texas • United States
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Salary
💰 $100,000 - $231,540 per year
Job Level
Tech Stack
About the role
- Lead Enterprise Finance’s strategy and governance capabilities to ensure Finance data is trusted, timely, audit-worthy, and AI-ready
- Drive the establishment and execution of a modern, well-governed Finance Data Hub anchored to audit worthy sources
- Define roles, responsibilities, ownership, and issue escalation to ensure effective data stewardship across Enterprise Finance
- Monitor and enforce data quality thresholds with clear remediation processes across domains
- Establish and enforce metadata standards and cataloging practices across unified data environments and marts
- Maintain access controls, security policies, compliance, and audit trails to support regulatory adherence and defensible finance reporting
- Manage and govern migration roadmaps prioritized by business demand and organizational strategy
- Define Enterprise Finance data-product strategy with clear definitions, boundaries, and alignment to business value
- Partner to build and operationalize curated, domain-specific data products within a unified data environment
- Ensure uniform representation of core business concepts across domains to prevent duplication and inconsistencies
- Align product design with cloud platform capabilities, balancing performance, cost, and usability
- Serve as a design authority to safeguard consistency, strategic alignment, and scalability through governance and architecture guardrails
- Drive adoption of curated products by enabling business teams, measuring usage, and identifying opportunities for incremental value creation
- Establish controls for model risk, bias, explainability, and human-in-the-loop oversight to support defensible outcomes
- Govern AI data usage, validation, and lifecycle management aligned to privacy, security, and regulatory standards
- Monitor AI performance, drift, and business impact through continuous measurement, auditability, and remediation practices
- Build and run governance routines (e.g., intake, prioritization, escalation, and standards forums) that accelerate delivery of trusted finance data and AI enablement
- Lead a team aligned to the org model to execute strategy, controls, and adoption at scale
- Partner closely with other Reporting & Analytics Strategy leaders to ensure governance accelerates (not blocks) the broader Finance outcomes.
Requirements
- 8+ years of experience in data strategy, data governance, data product management, analytics enablement, and/or AI governance in a complex enterprise environment
- 3+ years of experience leading teams and/or major cross-functional programs with senior stakeholders
- Demonstrated ability to define and operationalize data stewardship models, escalation paths, and enforceable standards
- Proven experience establishing and running data quality management (thresholds, monitoring, remediation processes)
- Experience implementing metadata standards and cataloging practices (and driving adoption)
- Working knowledge of responsible AI governance concepts including model risk controls, explainability, bias considerations, and human-in-the-loop oversight
- Strong communication, influence, and stakeholder management skills; ability to translate between Finance needs and technical execution.
Benefits
- Affordable medical plan options
- 401(k) plan (including matching company contributions)
- Employee stock purchase plan
- No-cost programs for all colleagues including wellness screenings
- Tobacco cessation and weight management programs
- Confidential counseling
- Financial coaching
- Paid time off
- Flexible work schedules
- Family leave
- Dependent care resources
- Colleague assistance programs
- Tuition assistance
- Retiree medical access
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data strategydata governancedata product managementanalytics enablementAI governancedata quality managementmetadata standardscataloging practicesresponsible AI governancemodel risk controls
Soft Skills
communicationinfluencestakeholder managementteam leadershipcross-functional collaborationstrategic alignmentproblem-solvingdata stewardshipescalation managementadoption enablement