Manager, Data Strategy (Enterprise Finance)
CVS Health, Woonsocket, RI, United States
Overview
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 At CVS Health, we’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience.
The
Manager, Data Strategy
will help Enterprise Finance treat data as a strategic asset by defining, coordinating, and advancing a coherent
data strategy and data product approach
that enables analytics, reporting, and AI use cases at enterprise scale. This role sits within the
Data & AI Strategy & Governance
portfolio and partners across Finance and Technology to translate business priorities into a clear strategy, roadmap, and measurable outcomes.
This is a cross-functional role operating at the intersection of business stakeholders and data/technology teams, focused on improving the usability and value of shared data assets through clear strategy, prioritization, and adoption.
Responsibilities
Data Strategy & Roadmap
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).
Data Product Strategy (Defining “What we’re building” and “How it’s used”)
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).
Cross‑Functional Alignment & Execution Enablement
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.
Standards, Quality, and “Fitness for Use” (in partnership with Governance)
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.
Required Qualifications
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.
Preferred Qualifications
Experience with “data as a product” practices, including defining internal data consumers, adoption goals, and ongoing lifecycle ownership.
Familiarity with enterprise data management concepts (e.g., metadata/catalog, quality expectations, standardized definitions) and how they enable scalable analytics.
Finance domain familiarity (e.g., planning, reporting, performance management) and comfort operating in environments with heightened control expectations.
Education
Bachelor’s degree or equivalent experience required.
Advanced degree preferred.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The Typical Pay Range For This Role Is
$54,300.00 - $145,860.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Benefits
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/18/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
#J-18808-Ljbffr
Position Summary At CVS Health, we’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience.
The
Manager, Data Strategy
will help Enterprise Finance treat data as a strategic asset by defining, coordinating, and advancing a coherent
data strategy and data product approach
that enables analytics, reporting, and AI use cases at enterprise scale. This role sits within the
Data & AI Strategy & Governance
portfolio and partners across Finance and Technology to translate business priorities into a clear strategy, roadmap, and measurable outcomes.
This is a cross-functional role operating at the intersection of business stakeholders and data/technology teams, focused on improving the usability and value of shared data assets through clear strategy, prioritization, and adoption.
Responsibilities
Data Strategy & Roadmap
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).
Data Product Strategy (Defining “What we’re building” and “How it’s used”)
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).
Cross‑Functional Alignment & Execution Enablement
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.
Standards, Quality, and “Fitness for Use” (in partnership with Governance)
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.
Required Qualifications
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.
Preferred Qualifications
Experience with “data as a product” practices, including defining internal data consumers, adoption goals, and ongoing lifecycle ownership.
Familiarity with enterprise data management concepts (e.g., metadata/catalog, quality expectations, standardized definitions) and how they enable scalable analytics.
Finance domain familiarity (e.g., planning, reporting, performance management) and comfort operating in environments with heightened control expectations.
Education
Bachelor’s degree or equivalent experience required.
Advanced degree preferred.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The Typical Pay Range For This Role Is
$54,300.00 - $145,860.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Benefits
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/18/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
#J-18808-Ljbffr