VP of Data Strategy – Quality
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Job Description
VP leading True Rx’s enterprise data strategy, governance, analytics, and AI-enabled insights. Transforming healthcare data into trusted, compliant decision-support capabilities.
Responsibilities:
- 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 supporting 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 Data Services and Architecture, Data Analytics/Insights, and Enterprise Data Governance & Quality
- Establish priorities, service expectations, documentation standards, operating rhythms, and measurable outcomes for the division
- Provide and execute the vision for modern, scalable, secure, discoverable, and actionable data ecosystems
- Oversee data architecture, data warehouse strategy, integrations, pipelines, technical metadata, and system synchronization
- Ensure data platforms are scalable, reliable, secure, and aligned with business and compliance needs
- Ensure backend implementation follows approved business logic, governed definitions, and quality expectations
- Establish clear sources of truth and information assets with clear labels
- Drive governed self-service dashboards, certified datasets, and decision-support resources
- Promote AI-enabled insights for trend identification, anomaly detection, narrative summaries, and recommended next actions
- Collaborate with in-house AI teams to bring AI-enabled insights to reporting modules
- Drive descriptive, predictive, and prescriptive frameworks to support growth and patient care
- Sponsor the enterprise data governance operating model and ensure governance authority, adoption, and executive support
- Establish quality scorecards, governance routines, stewardship expectations, escalation paths, and DataOps oversight
- Provide real-time enterprise data quality visibility through dashboards
- Partner with business, compliance, legal, security, IT, AI, and operational leaders on data accuracy, reporting, access, auditability, and regulatory risk
Requirements:
- 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
- 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
Benefits:
- Remote work arrangement
- Equal opportunity employer
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