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 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.