Lead Product Manager, Data and AI
- Role
- Product
- Experience
- Senior
- Employment
- Full-time
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior product manager to lead Data & AI strategy and delivery for ML and generative AI across clinical and operational domains. Must partner with Data Engineering, Data Science, AI Infrastructure and ML Engineering to build scalable, ethically governed AI products. US-based hiring (role listed under United States).
Core skills
Required skills
About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.
About this role: Lyra Health is looking for a Lead Product Manager for Data and AI to define and drive the next generation of our data and artificial intelligence initiatives. In this role, you will lead the strategy, exploration, and end-to-end execution of complex product capabilities across our machine learning models and generative AI initiatives. You will work closely with product leadership, engineering, and cross-functional teams to make data a core enterprise asset that optimizes global workforce clinical operations, elevates the member experience, and expands our competitive differentiation. As a critical member of the Product team, you will establish product operating rhythms, define multi-year vision, and translate complex clinical or business demands into scalable data and AI strategies. You will partner deeply with Data Engineering, Data Science, AI Infrastructure, and AI/ML Engineering teams, ensuring all product capabilities follow rigorous clinical evidence, data quality standards, and ethical, responsible AI practices.
What you'll do
- Define and drive multi-year vision and product strategy for data and AI initiatives
- Lead strategy, exploration, and end-to-end execution of complex product capabilities across machine learning models and generative AI initiatives
- Establish product operating rhythms and translate complex clinical or business demands into scalable data and AI strategies
- Partner deeply with Data Engineering, Data Science, AI Infrastructure, and AI/ML Engineering teams
- Ensure product capabilities follow rigorous clinical evidence, data quality standards, and ethical, responsible AI practices
- Optimize global workforce clinical operations, elevate member experience, and expand competitive differentiation
What they require
- Experience leading product for data and AI initiatives (senior product management level)
- Ability to translate complex clinical or business demands into scalable data and AI strategies
- Experience partnering with Data Engineering, Data Science, AI Infrastructure, and ML Engineering
- Commitment to rigorous clinical evidence, data quality standards, and responsible AI practices
Lyra Health provides mental health care benefits and services including therapy, coaching, psychiatry, medication management, specialty care, family support, and well-being tools. It serves people globally through direct employer contracts and partnerships with plans and health systems, using a digital platform and AI-powered provider matching to connect members with evidence-based providers.
What people say about this company
3.2/ 5
- Employees appreciate the company's mission to improve mental health services.
- The work environment is often described as supportive and collaborative.
- Some employees report issues with management and communication.