Senior Manager, Data Engineering

About the Senior Manager, Data Engineering at Headspace:

Headspace is on a mission to provide every person access to lifelong mental health support. We’re looking for a Senior Manager with deep technical expertise to grow and guide our Data Engineering function, creating an environment of exceptional technical execution, psychological safety, and purpose-driven mindset. As a Senior Manager of Data Engineering at Headspace you will have meaningful opportunities to profoundly impact the future of mental health care for our 70 million users.

Data Engineering is essential to the long-term success of Headspace and our mission, and we need an experienced leader to build the data infrastructure we need to power the phase of our growth. You will be responsible for leading and growing a team of talented engineers, designing data strategy and architecture, and partnering with senior technical leaders across the business to propel Headspace to new heights. Your primary stakeholders will be BI, AI/ML, and Product Engineering leaders.

A big goal needs talented people, so come join us and give your day job a sense of purpose!

What you will do:

• Lead, attract, and grow stellar technical talent as we continue to invest in Data and AI
• Develop and drive strategic roadmaps for scalable data architecture, ELT, and data pipelines
• Distill complexity for technical and non-technical audiences
• Build cross-functional relationships with other technology leaders
• Effectively prioritize tradeoffs between reducing tech debt and developing innovative data products
• Explore new technologies to support the future state of our business
• Model tenacity and resilience in the day to day

What you will bring:

Required Skills:

• 8+ years of experience in big data technologies, with Staff Engineer+ skills in pySpark, dbt, and Databricks
• 5+ years of managing Data or Analytic Engineers
• Experience designing and implementing performant, flexible data architectures, including testing, observability, and data quality alerting
• Experience developing solutions that meet HIPAA (or other PII/PCI) requirements, including data anonymization
• Experience partnering with product leaders to improve instrumentation and A/B testing capabilities
• Track record of technical and functional stakeholder management, including an ability to distill complexity for both technical and non-technical audiences
• Experience building and executing on cross-functional roadmaps, building OKRs and milestones
• BS degree or higher in Computer Science, Computer Engineering, or other STEM major (Science, Technology, Engineering or Math) or equivalent experience

Preferred Skills:

• MS degree in computer science, engineering or equivalent experience
• Experience as a technical leader with a track record of delivering results and making progress in a fast changing, ambiguous problem space
• Ability to articulate, influence, and drive changes across multiple teams and levels of stakeholders

Pay & Benefits:

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, relevant licensure and certifications, and unique relevant experience and job-related skills. The base salary range for this role is $160,943 – $241,393.