Vice President of Data and AI, Lyra Health
$251-346k
+ Equity
Mental health employee benefits
Be an early applicant
Mental health employee benefits
1001+ employees
Be an early applicant
$251-346k
+ Equity
1001+ employees
Company mission
To transform access to life-changing mental health care.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- 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
- This role reports into our CPTO
- 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
- 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
- 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
- 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
Our take
In the US, millions of people suffer from mental illness each year. This is not only a detriment to individuals, but to businesses as well - with research suggesting that depression and anxiety disorders lead to $1 trillion in lost productivity worldwide each year.
Lyra Health is out to tackle these issues head-on, by delivering mental health care for employees. The company offers video counselling sessions and one-to-one messaging to help users with a variety of conditions including anxiety, depression and substance use disorder.
The company is a key player in the sector alongside peers like Calm, Genoa and Talkspace. Impressively, it boasts a 90% satisfaction rate across its more than 2 million members, demonstrating the impact its products can have.
In 2025, Lyra Health launched a ‘clinical-grade’ chatbot to its offering. This has been met with mixed feelings due to evidence that AI can act unpredictably in response to mental health concerns. It will take time to see whether this feature will enhance or diminish the user experience.
Freddie
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2022
$35m
SERIES F
May 2021
$200m
SERIES F
Total funding: $690.1m
Company benefits
- Full access to Lyra’s mental health services for employees and their eligible dependents—at no charge
- Medical, dental, and vision benefits, and free monthly membership to One Medical
- 401k and equity options
- Four weeks of vacation and paid holidays
- Monthly tech stipend
Company HQ
Downtown, Burlingame, CA
Leadership
David Ebersman
(Co-Founder & Board Chair)Former CEO of the company. Was an Equity Research Analyst at Oppenheimer & Co. Also served as the CFO at Facebook, and worked at Genentech for 15 years, leaving as Chief Financial Officer & Executive VP.
Jennifer Schulz
(CEO)Former CEO of Experian North America, Head of Global Online and Digital Products at Visa, and CEO at Verifi.
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