VP of Data Strategy & Quality

True Rx Health Strategists; Washington (IN); On-site; USD 180,000 - 260,000; Full time

Job summary

True Rx Health Strategists seeks a strategic leader to own the enterprise data ecosystem, governance, quality, and AI-enabled insights. The VP will shape architecture, data platforms, and self‑service analytics, partnering with executives to drive operational excellence and regulatory compliance across the organization.

The role requires proven leadership of data teams and experience turning data into strategic assets for growth and patient care.

Qualifications

• Bachelor's degree or equivalent in information systems, data analytics, or related field.
• Significant experience leading enterprise data, analytics, BI, or data engineering functions.
• Experience creating enterprise data strategies, governance and data quality programs.
• Strong knowledge of data architecture, data warehousing, and governance.

Responsibilities

• Lead enterprise data strategy across architecture, governance, quality, BI, and AI-enabled insights.
• Oversee data platforms, pipelines, and source-of-truth definitions.
• Drive self-service analytics, governance, and data-driven decision making across the organization.
• Collaborate with senior leaders to position data as a strategic asset for growth and compliance.

Job description

Position Summary + Scope of Responsibilities

The Vice President of Data & Quality provides strategic leadership for True Rx's enterprise data ecosystem, ensuring data is accurate, governed, accessible, trusted, and effectively leveraged to support organizational decision‑making. This role is responsible for establishing and executing the enterprise data strategy across data architecture, engineering, governance, quality, business intelligence, self‑service analytics, and AI‑enabled insights. The Vice President of Data & Quality partners closely with senior leaders across the organization to transform data into a strategic asset that drives operational excellence, regulatory compliance, growth, and innovation.

Principal Roles and Responsibilities

Enterprise Data Strategy

• Define and lead True Rx’s enterprise data strategy across architecture, engineering, governance, reporting, analytics, and AI‑enabled insights.
• Translate company priorities into a data roadmap that supports operations, client service, compliance, growth, finance, clinical, and executive decision‑making.
• Move the organization from reactive reporting to trusted, self‑service information and actionable insights.
• Lead three core functions: Data Services and Architecture, Data Analytics/Insights, and Enterprise Data Governance & Quality.
• Create clear swim lanes between technical data services, business‑facing insight delivery, and governance/quality accountability.
• Establish priorities, service expectations, documentation standards, operating rhythms, and measurable outcomes for the division.
• Provide the vision for data ecosystems that are modern, scalable, secured, discoverable, actionable and own/execute the vision

Architecture, Engineering, and Platforms

• Oversee data architecture, data warehouse strategy, integrations, pipelines, technical metadata, and system synchronization.
• Ensure data platforms are scalable, reliable, secure, and aligned to business and compliance needs.
• Ensure backend implementation follows approved business logic, governed definitions, and quality expectations.
• Establish clear source of truth and source of information assets with clear labels so everyone in the company understands what data assets to use and the source

BI, Self‑Service, and AI Insights

• Drive the transition from request‑based reporting to governed self‑service dashboards, certified datasets, and decision‑support resources.
• Ensure business units can access information needed for their roles without unnecessary dependency on analysts for routine questions.
• Promote practical AI‑enabled insights for trend identification, anomaly detection, narrative summaries, and recommended next actions.
• Collaborate with in‑house AI teams to bring the AI enabled insights to reporting modules to promote self‑service
• Drive descriptive, predictive and prescriptive frameworks to support growth and care for the patients

Governance and Data Quality

• Sponsor the enterprise data governance operating model and ensure governance has authority, adoption, and executive support.
• Ensure True Rx data is consistently defined, governed, trusted, and aligned across business processes, systems, integrations, and reporting platforms.
• Establish quality scorecards, governance routines, stewardship expectations, and escalation paths.
• Establish dataops (data operational) oversight process that can clearly show the quality of the data across the enterprise via dashboards in real‑time

Cross‑Functional Partnership

• Partner with business leaders to identify critical data domains, decision needs, and operational pain points.
• Partner with compliance, legal, security, IT, AI and operational leaders where data accuracy, reporting, access, auditability, or regulatory risk is involved.
• Ensure the data division is viewed as an enterprise capability that enables every team to operate as Health Strategists.

Minimum Requirements (Experience + Education)

Education and Experience

• Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Administration, Healthcare Administration, or a related field; equivalent experience may be considered.
• Significant experience leading enterprise data, analytics, business intelligence, data engineering, or technology functions.
• Experience developing enterprise data strategies, governance frameworks, reporting platforms, self‑service analytics, and data quality programs.
• Strong knowledge of data architecture, integrations, data warehousing, and business intelligence solutions.
• Experience leading leaders, managers, and cross‑functional teams in complex organizations.
• Healthcare, PBM, pharmacy, claims, benefits, or other regulated industry experience preferred.

Knowledge, Skills, and Abilities

• Strong knowledge of enterprise data strategy, governance, analytics, business intelligence, and data quality best practices.
• Ability to translate business objectives and complex requirements into scalable data and technology solutions.
• Ability to drive organizational change and foster a data‑driven decision‑making culture.
• Knowledge of self‑service analytics, AI‑enabled insights, modern data platforms, and governance frameworks.
• Strong strategic thinking, problem‑solving, and organizational skills with the ability to balance business, technical, regulatory, and user needs.

Equal Opportunity Employer

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