VP of Engineering, Data and AI

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:

• 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:

• • Bachelor’s …