VP of Data Strategy – Quality

🔥 12 hours ago

☕ Washington – Remote

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⏰ Full Time

🔴 Lead

👔 Vice President

👻 Ghost score 12%

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Logo of True Rx Health Strategists

True Rx Health Strategists

201 - 500 employees

Founded 2006

🏥 Healthcare

🛡️ Insurance

💊 Pharmaceuticals

Healthcare • Insurance • Pharmaceuticals

True Rx Health Strategists is a pharmacist-led pharmacy benefits manager (PBM) dedicated to employee benefit brokers and self-insured employers. They challenge the traditional health care model by emphasizing transparent pricing and proactive solutions guided by clinical expertise. Unlike conventional PBMs that primarily process claims, True Rx focuses on solving health issues, providing direct communication between pharmacists and patients. Their innovative health programs effectively address major health problems such as diabetes and obesity, with notable success rates in clinical outcomes. As a family-owned business, True Rx is committed to delivering personalized support and exceptional care to its clients across the nation, ensuring that they operate without hidden fees and prioritizing long-term health over short-term profits.

📋 Description

• 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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