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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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)
- 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
- 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
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
Base salary for the role is commensurate with experience and can range between $200,000 - 250,000 + annual bonus opportunity.
Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.
For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at least once a year for team-building, collaboration, and strategic planning.
Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states:
Hub Locations:
- Philadelphia, Pennsylvania
- Boston, Massachusetts
- New York City, New York
- Baltimore, Maryland
- Washington, D.C.
- Charlotte, North Carolina
- Raleigh-Durham, North Carolina
- Atlanta, Georgia
- Chicago, Illinois
Approved States for Remote Work:
CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA.
About HealthVerity
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. To learn more about HealthVerity, visit healthverity.com.
Why you'll love working here
We are making a difference – Our technology is at the forefront of some of the biggest healthcare challenges in the world.
We are one team – Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer.
We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other.
Benefits & Perks
Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.
- Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
- Benefits: We offer health, dental, and vision coverage starting on day 1. We also offer a 401(k) plan and an equity program, with new hire equity grants beginning at the Director level and above.
- Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
- Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
- Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
- Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
- Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table.
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]
Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.
Skills Required
- 10+ years in product management with senior AI or data product leadership track record
- 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; present product strategy to executive and non-technical audiences
- 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
What We Do
Pharmaceutical manufacturers, payers and government organizations have partnered with HealthVerity to solve some of their most complicated use cases through transformative technologies and real-world data infrastructure. The HealthVerity IPGE platform, based on the foundational elements of Identity, Privacy, Governance and Exchange, enables the discovery of RWD across the broadest healthcare data ecosystem, the building of more complete and accurate patient journeys and the ability to power best-in-class analytics and applications with flexibility and ease. Together with our partners, HealthVerity has built the modern way to data for the health insights economy.
