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VP of Data and AI

Lyra Health · Remote

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Last seen by MeritLog August 13, 2026Source: LeverSource version: lever-postings-v1

Source: the employer's Lever job board. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model
Remote
Salary
Not listed by source
Location
United States

Job description

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. We are seeking a visionary and results-oriented VP of Data and AI to lead our AI and machine learning initiatives, data strategy and advanced analytics, driving significant business impact across the organization. This role reports into our CPTO. Role Summary The VP of Data and AI will be a key leadership role, responsible for defining, developing, and executing the company's comprehensive data and AI strategy. This leader will build and manage world-class Data Engineering, Data Science, Data Analytics, AI Platform and AI/ML Engineering teams, ensuring data is a core asset that informs all strategic decisions, optimizes operations, and creates new revenue streams. The ideal candidate is a strategic thinker with deep technical expertise, exceptional leadership skills, and a proven track record of delivering measurable business value through data and AI.

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