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Lead Product Manager, Data and AI
Lyra Health · United States · Onsite
LeadProduct & Design$161,000 - $221,500
Apply on Lyra Health's site →Total Raised
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Valuation
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Segment
Healthcare
About the role
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.
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