Senior Director, Applied AI Product

HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate patient data. By enabling access to the industry’s largest RWD ecosystem, HealthVerity supports critical applications in clinical development, commercial strategy, regulatory decision-making, and public health.

About the role

The Senior Director of Applied AI Product leads the organization's applied AI product function, spanning product strategy, discovery, delivery, and the roadmap for AI-powered customer-facing capabilities. This role sits at the intersection of product leadership and applied AI, and is accountable for how AI experiences are envisioned, shaped, and delivered into products that create measurable value for customers and the business.

Responsibilities

• Product Strategy & Vision
  • Identify opportunities to apply AI across the product portfolio and customer workflows
  • Translate organizational objectives into phased, deliverable AI product initiatives
  • Communicate product vision, roadmap progress, and tradeoffs to executive stakeholders
• AI Product Discovery & Definition
  • Lead discovery to validate AI use cases against real customer problems and value
  • Define product requirements, success criteria, and acceptance thresholds for AI features
  • Partner with AI Engineering and Data to assess feasibility and model readiness
  • Prioritize the backlog based on customer impact, effort, and strategic fit
• Applied AI Delivery
  • Own end-to-end delivery of AI product features from concept to general availability
  • Design human-in-the-loop experiences, guardrails, and fallback behaviors for AI features
  • Define evaluation criteria and quality bars for model-driven product experiences
  • Drive iterative launches, experimentation, and continuous improvement post-release
• Cross-Functional Leadership
  • Partner with Engineering, Data, and Commercial teams to ship AI capabilities
  • Align product, GTM, and delivery timelines across dependent teams and stakeholders
  • Coordinate build vs. buy decisions for AI product capabilities with architecture teams
  • Serve as the connective tissue between technical AI work and customer-facing outcomes
• Customer & Market Engagement
  • Engage customers and prospects to surface needs, validate concepts, and gather feedback
  • Monitor the competitive and market landscape for emerging applied AI capabilities
  • Support sales, marketing, and customer success with positioning and enablement for AI products
  • Translate customer signals into roadmap priorities and product improvements
• Product Leadership
  • Hire, develop, and retain a high-performing AI product management team
  • Establish product standards: discovery rigor, spec quality, metrics definition, and launch readiness
  • Foster a culture of customer-centricity, iterative experimentation, and responsible AI practices
  • Collaborate cross-functionally with Engineering, Design, Data Science, Security, and Legal teams
• Responsible AI & Product Governance
  • Embed responsible AI principles covering fairness, transparency, and explainability into products
  • Ensure AI features comply with applicable data privacy regulations (HIPAA, GDPR, CCPA as relevant)

Success Metrics

• Applied AI product roadmap published and approved by executive leadership within 90 days
• AI product features shipped to general availability against committed timelines
• Product discovery and evaluation framework for AI features in place within 6 months
• Adoption and customer value targets defined and met for launched AI capabilities

Requirements

• Required
  • 10+ years in product management, with a demonstrable track record in senior AI or data product leadership
  • Experience taking AI-powered products from discovery to production at scale
  • Hands-on experience partnering with engineering and data science teams on ML/LLM-driven features
  • Strong communication skills; able to present product strategy to executive and non-technical audiences
• Preferred
  • Familiarity with LLM product patterns (RAG, agents, guardrails, human-in-the-loop design)
  • Familiarity with AI governance standards (NIST AI RMF, EU AI Act, SOC 2 AI controls)
  • Background in the healthcare industry
  • Prior experience defining evaluation frameworks and quality metrics for AI product experiences

Pay

Base salary for the role ranges between $200,000 - $250,000 plus annual bonus opportunity.

Schedule

Hybrid model with in-office work required three days a week for local employees in the Philadelphia area. Remote work is supported in select hub locations and approved states, with annual in-person team gatherings.

Approved hub locations: Philadelphia, PA; Boston, MA; New York City, NY; Baltimore, MD; Washington, D.C.; Charlotte, NC; Raleigh-Durham, NC; Atlanta, GA; Chicago, IL.

Approved states for remote work: CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, VA.

Benefits

• Competitive base salary and annual bonus opportunity
• Health, dental, and vision coverage starting on day 1
• 401(k) plan and equity program (new hire equity grants begin at Director level and above)
• Generous PTO: 4 weeks per year (vacation, personal, sick time) plus paid parental leave
• Parental leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents
• Comprehensive onboarding with mentorship program and departmental talks
• Professional development: biweekly 1:1s, hands-on leadership, and an annual budget for growth pursuits