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The Vice President of Data Governance will play a pivotal role in shaping and executing RxBenefits data governance strategy to ensure trusted, compliant, and business-ready data across the organization. This role is responsible for establishing a sustainable governance operating model that enables high-quality data, consistent enterprise semantics, and confident decision-making across analytics, reporting, AI, and digital initiatives.This position works in close partnership with Executive Leadership, Business Domain Data Stewards, the Data Engineering Director, and Analytics & Reporting leaders. The VP of Data Governance sets the standards, decision frameworks, and operating model that align these teams toward a common enterprise semantic layer, governed data products, and consistent metrics.

Key Responsibilities** **:

1. **Enterprise Data Strategy & Vision:**

2. Define and advance enterprise long-term data vision and roadmap, aligned to business priorities and growth objectives.

3. Position data as a strategic asset to support decision-making via analytics, AI models, and digital innovation.

4. **Data Governance & Program Sponsorship:**

5. Lead the development and adoption of a data governance framework with clear roles and accountabilities, including standards and operating models.

6. Sponsor and champion the data governance program across the organization.

7. Establish and mature business data stewardship across domains, with clear ownership, accountability, and success measures.

8. Lead and facilitate enterprise data governance councils and forums to drive alignment and resolve cross-domain issues.

9. **Semantic Layer & Enterprise Data Alignment:**

10. Partner closely with Data Engineering and Analytics/Reporting leadership to define and enforce enterprise semantic standards, shared business definitions, and governed metrics.

11. Ensure analytics, dashboards, and downstream data products consistently leverage a common enterprise semantic layer (e.g., EDM or canonical business models).

12. Establish governance checkpoints within the data product and analytics lifecycle to prevent metric drift, semantic inconsistencies, and reconciliation issues.

13. Drive adoption of standardized definitions through data catalogs, reporting layers, and analytics tools.

1. **Stakeholder Alignment & Communication:**

2. Foster cross-functional collaboration to ensure data governance and data product operating model aligns with business priorities.

3. Act as a trusted advisor to executives on data-related matters.

4. **Driving Business Value:**

5. Ensure governance initiatives deliver measurable outcomes such as faster access to trusted data, reduced reporting rework, and improved decision confidence.

6. Align data governance priorities to high-value business use cases across pricing, finance, operations, and client reporting.

7. Demonstrate tangible ROI from data and analytics investments through improved efficiency, reduced risk, and better insights.

1. **Data Quality, Integrity & Trust**

2. Define and monitor data quality standards and KPIs (accuracy, completeness, timeliness, consistency).

3. Implement processes and tooling for data profiling, data cataloging, and lineage to improve transparency, issue resolution, and change management.

4. Ensure a “single source of truth” for critical enterprise data domains.

Qualifications** **:

+ Proven experience of 12+ years in data governance, data management, or related fields, with a minimum of 5+ years in a senior leadership role.

+ Strong strategic planning and communication skills, with a demonstrated ability to influence at the executive level.

+ Experience in leading complex, cross-functional teams and aligning data investments with business priorities

+ In-depth knowledge of data governance frameworks, tools, and best practices and experience driving business and technical stakeholder partnership for data governance success

+ Ability to drive cultural change and foster a data-driven decision-making environment

**Desired Outcomes** **:** (12-18 months):

+ A clear, enterprise-wide data governance operating model with defined ownership and accountability.

+ A single, trusted enterprise semantic layer adopted consistently across analytics, reporting, and data products.

+ Reduced metric discrepancies and reconciliation effort across business units.

+ Improved data quality, transparency, and trust in executive and regulatory reporting.

+ Governance recognized as an enabler of speed, scale, and better business decisions.

+ Ensure data products are aligned with priority use cases and desired business outcomes

RxBenefits provides equal opportunities for everyone who works for us and everyone who applies to join our team, without regard to sex or gender, gender identity, gender expression, age, race, religious creed, color, national origin, ancestry, pregnancy, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, any service, past, present, or future, in the uniformed services of the United States (military or veteran status), or any other consideration protected by federal, state, or local law.