Manager, Data Strategy – Enterprise Finance
CVS Health
full-time
Posted on:
Location Type: Remote
Location: Massachusetts • Rhode Island • United States
Visit company websiteExplore more
Salary
💰 $54,300 - $145,860 per year
About the role
- Develop and maintain a data strategy roadmap that aligns data initiatives with business goals, accounts for dependencies, and evolves through continuous iteration as needs change
- Partner with stakeholders to identify high‑value opportunities where improved data availability, consistency, or productization will accelerate decision‑making and reduce friction for teams
- Define success measures and track progress using meaningful metrics (e.g., adoption, usability, reliability, and business outcomes where applicable)
- Help define and communicate clear data product concepts , including intended consumers, usage patterns, and lifecycle expectations (e.g., documentation, reliability, discoverability, and interoperability)
- Translate business needs into actionable product requirements and collaborate with engineering/ architecture partners to shape feasible delivery plans
- Drive internal adoption by ensuring data products are understandable and usable for intended consumers (training, enablement materials, feedback loops)
- Serve as a connector between Finance stakeholders and technical teams to align on priorities, sequencing, and tradeoffs while maintaining clarity on scope and expected value
- Coordinate work across related functions (e.g., data governance, data engineering, analytics enablement) to reduce duplication and improve consistency in shared data assets and definitions
- Contribute to portfolio-level governance by supporting decision forums with clear options, risks, impacts, and recommended paths forward
- Partner with Data Governance and other control stakeholders to ensure data strategy and data products align with enterprise expectations for security, compliance, and appropriate use
- Incorporate pragmatic expectations for data quality, documentation, and stewardship so that products remain trusted and support repeatable decision processes
Requirements
- 5+ years of experience in data strategy, data product management, analytics strategy, program management, or a related role in a complex enterprise environment
- Demonstrated experience creating roadmaps and translating business needs into structured initiatives, requirements, and execution plans
- Strong stakeholder management skills; ability to work across business and technical teams to drive alignment and outcomes
- Analytical and structured problem-solving skills, including comfort with ambiguity and the ability to define “what good looks like” for data initiatives
- Experience with “data as a product” practices, including defining internal data consumers, adoption goals, and ongoing lifecycle ownership (preferred)
- Familiarity with enterprise data management concepts (e.g., metadata/ catalog, quality expectations, standardized definitions) and how they enable scalable analytics (preferred)
- Finance domain familiarity (e.g., planning, reporting, performance management) and comfort operating in environments with heightened control expectations (preferred)
- Bachelor’s degree or equivalent experience required
- Advanced degree preferred
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 and 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 product managementanalytics strategyprogram managementroadmap creationdata qualitydata governancedata engineeringanalytics enablementdata as a product
Soft Skills
stakeholder managementanalytical problem-solvingstructured problem-solvingcommunicationcollaborationtrainingenablementfeedback loopsalignmentdecision-making