VP of Engineering, Data and AI
Remote - United States
About the VP of Engineering, Data and AI at Headspace (Introduce the team, function, or department):
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!
What you will do:
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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.
What you will bring:
Required Skills:
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- Bachelor’s …
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Remote - United States
Benefits/PerksComprehensive healthcare coverage Free mental health coaching Generous parental leave Healthcare coverage Lifetime Headspace membership Mental health coaching Monthly wellness stipend Paid performance incentives Parental leave Performance incentives Retirement savings match Stock awards Unlimited, free mental health coaching Wellness stipend
SkillsACT Amplitude AWS Azure Benefits Big Data Technologies Clinical Communication Compliance CoreMetrics Databricks Data engineering Data Platforms Data Science Design Engineering Google Cloud Healthcare Health coaching Java Leadership Looker Machine Learning Python R Redshift Research S3 Spark SQL Tableau
Experience15 years
EducationBachelor's Computer Science Master's Ph.D. Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9