VP, AI Strategy & Deployment

Good Rx is the leading prescription savings platform in the U.S. Trusted by more than 25 million consumers and 750,000 healthcare professionals annually, Good Rx provides access to savings and affordability options for generic and brand-name medications at more than 70,000 pharmacies nationwide, as well as comprehensive healthcare research and information. Since 2011, Good Rx has helped consumers save nearly $75 billion on the cost of their prescriptions.

Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.

Good Rx is looking for a Vice President of AI Strategy & Deployment to lead the company-wide effort to embed AI into high-impact business workflows across the company, with enterprise-wide scope and executive visibility. This is a peer role to Data, ML, Product, and Engineering leadership. The role partners closely with Data, Product, and Engineering leaders to align priorities and secure resources to deliver against the AI roadmap.

Existing leaders own platform, models, and infrastructure, while this role is accountable for ensuring those capabilities translate into measurable business outcomes at scale.

• Cross‑Company AI Roadmap
  . Own the company-wide AI roadmap, including identification, prioritization, and sequencing of AI use cases across Good Rx. Define prioritization frameworks aligned to business impact and establish governance processes that determine which AI initiatives are funded, resourced, and delivered. Own business and adoption outcomes of AI deployment across the company, and co‑own outcomes with the functional leaders of each workflow being transformed.
  
  Delivery is executed through partner teams, with this role responsible for ensuring alignment, prioritization, and follow‑through.
• AI Agent Strategy for Pharma Direct
  . Own prioritization and drive deployment of AI agents within Pharma Direct in partnership with business and engineering teams. Focus includes patient‑program matching, adherence orchestration, manufacturer ROI intelligence, and Employer Direct automation. Year 1 focus includes Pharma Direct and a targeted set of additional high‑impact workflows, with clear expectations for production deployment and measurable business outcomes.
• AI Platform Direction
  . In partnership with Engineering, set business‑driven requirements and priorities for AI platform evolution. Translate business needs into platform requirements and drive prioritization in partnership with Engineering and Data leaders;
  Engineering retains ownership of design and delivery.
• Enterprise AI Adoption
  . Own enterprise adoption of AI solutions across priority business functions. Partner with functional leaders to identify, prioritize, and deploy AI into key workflows (e.g., sales enablement, customer support, finance, legal operations), and ensure sustained adoption. Establish repeatable playbooks for AI deployment and adoption.
• AI Governance & Trust
  . Own the establishment of AI governance standards in partnership with Legal, Security, and Data teams. Include hallucination monitoring, bias detection, audit trails, HIPAA/FTC compliance, and the principle that AI in healthcare must assist and clarify, not replace clinical judgment.
• Sponsor’s AI Maturity Partnership
  . Drive the executive relationship with Sponsor’s technology team on AI maturity scoring and alignment. Ensure Good Rx’s maturity ratings accurately reflect deployed capabilities, in‑flight initiatives, and enterprise progress toward S3. Represent Good Rx at portfolio-level forums (including the CXO events), communicating progress, priorities, and outcomes.

This role does not own Data, Engineering, or Product teams. You operate as a peer and partner to those leaders, shaping priorities and outcomes without direct ownership of their teams or headcount.

• Deep technical fluency in modern AI/ML
  . Ability to evaluate and select the right approach for a given problem (e.g., fine‑tuning vs. RAG vs. agentic workflow vs.…