Director, Data Engineering & Analytics

Bezos Academy•Seattle, WA

4d•Onsite

About The Position

As the Director, Data Engineering & Analytics at Bezos Academy, your work will directly shape how we understand our impact on the children and families we serve across our multi-state network of schools. Reporting to the Chief Technology Officer and serving as a member of the Technology leadership team, you will evolve the data foundation that connects our many systems and unlock AI-powered self-service reporting and insights for staff and leadership. This is a player-coach role. You are a seasoned engineering leader who enjoys being hands-on, energized by both managing high-performing people and solving hard technical problems yourself. In a lean environment, you will lead a small, talented team of data engineers, an analytics engineer, and a data analyst — owning architecture, moving fast, and making pragmatic calls. You will empower your team to do their best work, and partner closely with software engineering and product teams across the organization.

Requirements

Bachelor’s degree or equivalent experience
Ten or more years of relevant experience between data and software engineering
Five years of experience managing people and leading teams
Deep technical expertise in data engineering in a cloud environment with (AWS, Azure, GCP, or OCI) including serverless technologies
Strong data modeling skills, including designing the layers that make data consistent and trustworthy for analytics and reporting
Experience with product analytics or applied statistics, including measuring how products are used and designing or interpreting experiments
Track record of delivering data products and insights to support a diverse range of business functions
Excellent written and oral communication skills, with the ability to simplify complex subjects and distill key takeaways for a variety of audiences

Nice To Haves

Experience modernizing or migrating a data platform as an organization scale
Depth in product analytics for software products used by both organizations and their end users, including experimentation and engagement analysis
Deep technical expertise in data engineering in a cloud environment with AWS including serverless technologies
Experience building and leading AI-native teams and power user of AI in your own work
Experience building AI-powered data tools, such as natural-language agents or automated insights, that make data accessible and actionable for non-technical users
Proficiency with a modern BI or data visualization platform (e.g., Power BI, Fabric, Tableau, Looker)

Responsibilities

Evolve the data foundation that connects our many systems.
Unlock AI-powered self-service reporting and insights for staff and leadership.
Lead a small, talented team of data engineers, an analytics engineer, and a data analyst.
Own architecture, move fast, and make pragmatic calls.
Empower your team to do their best work.
Partner closely with software engineering and product teams across the organization.