Director, Data & AI Strategy & Governance (Enterprise Finance)
Rhode Island Bar Assn., Woonsocket, RI, United States
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
Director, Data & AI Strategy & Governance
will lead Enterprise Finance's strategy and governance capabilities to ensure Finance data is
trusted, timely, audit-worthy, and AI-ready . This role will drive the establishment and execution of a
modern, well-governed Finance Data Hub
anchored to audit worthy sources and supported by standards that improve the completeness, accuracy, and consistency of data across domains.
This leader will
bridge the gap between requirements, standards, and adoption , partnering with Finance stakeholders and Technology teams to define clear data product boundaries, enforce governance controls, and ensure responsible AI oversight across the Finance portfolio.
Key Responsibilities Data Governance (Stewardship, Quality, Metadata, Access/Controls)
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.
Data Strategy (Data Products, Design Authority, Value Alignment)
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 (e.g., consistent metric definitions and semantic alignment).
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.
AI Governance (Responsible AI Controls, Lifecycle, Monitoring)
Define
principles, accountability, and decision rights
for responsible AI use across Finance.
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.
Operating Model & Leadership
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.
Required Qualifications
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.
Preferred Qualifications
Experience in Finance data domains (e.g., General Ledger/subledgers, planning/forecasting, management reporting), especially where
audit-worthy
sourcing and controls are required.
Experience operating in a product-oriented model where governance supports clear
product definitions, boundaries, and adoption .
Familiarity with cloud data environments and enterprise data platforms (e.g., governing products "within a unified data environment").
Experience partnering with Technology organizations to set priorities for
migration roadmaps
based on business demand and strategy.
Education
Bachelor's degree or equivalent experience required.
Master's degree preferred.
Pay Range The typical pay range for this role is: $100,000.00 - $231,540.00
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. This position also includes an award target in the company's equity award program.
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.
Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
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
Director, Data & AI Strategy & Governance
will lead Enterprise Finance's strategy and governance capabilities to ensure Finance data is
trusted, timely, audit-worthy, and AI-ready . This role will drive the establishment and execution of a
modern, well-governed Finance Data Hub
anchored to audit worthy sources and supported by standards that improve the completeness, accuracy, and consistency of data across domains.
This leader will
bridge the gap between requirements, standards, and adoption , partnering with Finance stakeholders and Technology teams to define clear data product boundaries, enforce governance controls, and ensure responsible AI oversight across the Finance portfolio.
Key Responsibilities Data Governance (Stewardship, Quality, Metadata, Access/Controls)
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.
Data Strategy (Data Products, Design Authority, Value Alignment)
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 (e.g., consistent metric definitions and semantic alignment).
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.
AI Governance (Responsible AI Controls, Lifecycle, Monitoring)
Define
principles, accountability, and decision rights
for responsible AI use across Finance.
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.
Operating Model & Leadership
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.
Required Qualifications
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.
Preferred Qualifications
Experience in Finance data domains (e.g., General Ledger/subledgers, planning/forecasting, management reporting), especially where
audit-worthy
sourcing and controls are required.
Experience operating in a product-oriented model where governance supports clear
product definitions, boundaries, and adoption .
Familiarity with cloud data environments and enterprise data platforms (e.g., governing products "within a unified data environment").
Experience partnering with Technology organizations to set priorities for
migration roadmaps
based on business demand and strategy.
Education
Bachelor's degree or equivalent experience required.
Master's degree preferred.
Pay Range The typical pay range for this role is: $100,000.00 - $231,540.00
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. This position also includes an award target in the company's equity award program.
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.
Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
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