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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.
Responsibilities:
Strategy and Vision

• Define and champion the company's multi-year data and AI strategy, aligning it with overall business objectives and growth plans.
• Identify high-impact opportunities for leveraging generative AI, machine learning and advanced analytics across product development, operations, sales, and marketing.
• Establish data governance policies, data quality standards, and ethical AI practices to ensure data integrity, security, and compliance.

Team Leadership and Development

• Recruit, mentor, and lead high-performing teams of Data Engineers, Data Analysts, Data Scientists, AI Infra, AI and ML Engineers.
• Foster a data-driven culture across the organization, promoting data literacy and the use of analytical insights in daily decision-making.

Execution and Delivery

• Oversee the architecture, development, and maintenance of scalable and reliable data platforms (e.g., data warehouse, data lake, ML and AI Platform infrastructure).
• Drive the end-to-end lifecycle of AI/ML projects, from ideation and experimentation to deployment, monitoring, and measurable business impact.
• Manage budgets, technology selection, and vendor relationships related to data and AI infrastructure and tooling.

Cross-Functional Collaboration

• Partner closely with Product, Engineering, Clinical and Operations leaders to embed data and AI capabilities into core products and business processes.
• Act as the primary evangelist for data and AI capabilities internally and externally.
• Present strategy, roadmaps, and key results to the executive team and board of directors.

Qualifications:
Required Experience

• 10+ years of progressive experience in AI, machine learning, data science, data engineering, or a related field, with 5+ years in a senior leadership role (Sr Director, VP) managing large, diverse technical teams.
• Proven experience defining and executing a successful enterprise-wide data and AI strategy that delivered significant, quantifiable business outcomes.
• Deep expertise in modern data architecture, cloud-based data platforms (ideally AWS), data warehousing (ideally Snowflake), and ETL/ELT processes.
• Extensive experience with the entire machine learning and GenAI lifecycle, delivering to users at scale

Technical Skills

• Deep understanding of generative AI models, LLMs and their practical application in a business context.
• High proficiency in programming languages (Python, SQL).
• Solid understanding of statistical modeling, machine learning algorithms, and deep learning techniques.

Leadership and Soft Skills

• Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to a non-technical executive audience.
• Strong business acumen and the ability to translate technical concepts into strategic business opportunities.
• Demonstrated ability to attract, hire, retain, and develop top-tier technical talent.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field.

$251,000 - $346,000 a year
As a full-time VP of Data and AI, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $251,000 to 346,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.
Annual salary is only one part of an employee's total compensation package at Lyra. We also offer generous benefits that include:
-Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
-Lyra for Lyrians; coaching and therapy services
-Equity in the company through discretionary restricted stock units
-Competitive time off with pay policies including vacation, sick days, and company holidays
-Paid parental leave
-401K retirement benefits
-Monthly tech allowance
-We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration...and more!
We can't wait to meet you.
"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not "sell" or "share" personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact [email protected]. For more information about how we use and retain your information, please see our Workforce Privacy Notice."
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, summarizing interviews, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.