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VP of Data Strategy & Quality

Job in Washington, Daviess County, Indiana, 47169, USA
Listing for: True Rx Health Strategists
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Business Intelligence, Data Engineering, AI Business & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

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.
Division Leadership
  • 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…
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