Vice President of Data and AI, Headspace Health
$164.9-300k
+ Stock Awards
Mental health and wellbeing platform
Job no longer available
Mental health and wellbeing platform
1001+ employees
Job no longer available
$164.9-300k
+ Stock Awards
1001+ employees
Company mission
To transform mental healthcare to improve the health and happiness of the world.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. PhD is a plus
- 15+ years of experience in data engineering, data science, and AI, with at least 5 years in a leadership role
- Proven track record of successfully leading data engineering and AI teams
- Familiarity with AI research and development tools and platforms
- Strong analytical and problem-solving skills
- Extensive experience with machine learning frameworks, generative AI technologies, and big data platforms
- Strong understanding of data architecture, data governance, and data security best practices
- Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud)
- Knowledge of programming languages such as Python, R, Java, and SQL
- Experience in big data technologies (Redshift, S3, Databricks, Datalakes, Spark)
- Working experience in one of these tools Looker/Tableau/Amplitude/CoreMetrics
- Excellent leadership, communication, and interpersonal skills
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively
What the job involves
- We are seeking an experienced and visionary VP of Engineering to lead our data and AI organization.
- This role is crucial in driving our data strategy, overseeing the development and implementation of data systems, and ensuring the successful deployment of Generative AI and Machine Learning products and solutions across the organization and our member base.
- The VP of Engineering, Data and AI will lead an organization whose mission is to deliver highly performant and scalable products and platforms which enables a data driven culture across the enterprise, while also aiming to drive industry best practices in the data and AI organization.
- This leader must have the ability to attract and recruit great talent, grow the team, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology
- As part of the Technology team, you’ll be working on a product that profoundly impacts millions of users.
- You will help us bring new features to life to meet our mission, while also helping push our platform to newer technologies as we embrace the cutting edge.
- A big goal needs talented people, so come join us and give your day job a sense of purpose!
- Data Engineering:
- Oversee the design, development, and maintenance of scalable data pipelines and infrastructure
- Ensure data quality, integrity, and security across all data systems
- Establish and enforce best practices for data governance, compliance, quality, and security across the organization
- AI and Machine Learning:
- Drive the research, development, and deployment of AI and machine learning models to solve complex business problems
- Ensure the successful integration of AI solutions into existing business processes and systems
- Stay abreast of the latest advancements in AI and machine learning, and evaluate their potential impact on the organization
- Data Analytics:
- Develop and implement the strategic vision for data analytics across the organization, ensuring alignment with business goals
- Serve as the organization’s subject matter expert on advanced statistical analysis, experimental design, and financial impact analysis
- Guide the development and implementation of robust analytical methodologies and processes across the organization
Our take
The world is facing a growing mental health crisis. In 2022, the US saw the proportion of the population with an acute anxiety, depression or other mental health need grow from 20% to 40%.
In 2021, Headspace and Ginger finalised a $3bn merger to form Headspace Health, an accessible mental health platform. It is determined to democratize mental healthcare, and its brands are already being used by over 100 million people and more than 4,000 enterprises including Starbucks, Adobe and Paramount.
There is clearly a need for virtual mental healthcare, and the market is growing increasingly crowded, with competitors including His & Hers Health. However, Headspace Health sets itself apart with its rapidly growing portfolio of services, added in part through strategic acquisitions such as that of AI health firm Sayana in 2022. It is now focusing on international expansion, offering its services directly to companies in the UK for the first time.
Steph
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jun 2020
$47.7m
SERIES C
Feb 2020
$53m
SERIES C
Total funding: $175.4m
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Russell Glass
(CEO, not founder)Previously VP of Products at Linkedin. Was also CEO of Ginger, before it merged with Headspace to create Headspace Health. Presently, on the Board at CollegeSolved, Breakthrough Collaborative, and Rock the Vote.
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