Manager, Analytics Engineering

Lead, coach, and develop a team of Lead and Senior Analytics Engineers - driving career growth, performance and a high-trust team culture.

Stay deeply hands-on: write and review SQL/dbt code, drive technical design, and uphold a high bar for craftsmanship, testing and documentation across our Snowflake + dbt stack.

Own the roadmap for your team’s portion of the analytics platform - prioritizing work that drives the most business impact and balancing delivery, quality and technical debt.

Drive Forward’s data centralization vision by partnering with Business Intelligence and wider Analytics group to design and deliver scalable data models, marts, and a reliable semantic layer that serves as the company’s single source of truth.

Lead the build-out of our semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products.

Translate ambiguous business problems from leadership and cross-functional stakeholders into well-scoped technical solutions, communicating tradeoffs clearly to both technical and non-technical audiences.

Champion data quality, observability, and governance - including testing, lineage, cataloging, and incident response - so stakeholders can trust the numbers.

Drive technical excellence in our dbt project: model architecture, performance tuning, incremental strategies and CI/CD practices that scale as data volume and team size grow.

Help shape our hiring bar - recruit, interview and onboard exceptional Analytics Engineers as the team continues to grow. Role Requirements:

(Even if you don’t check every box but see yourself contributing, please apply.)

7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence with a strong foundation in SQL and dimensional/data modeling.

2+ years of people management experience leading senior individual contributors, including driving performance and career development.

Deep hands-on expertise with dbt and a cloud data warehouse (Snowflake strongly preferred), including incremental models, testing strategies, and macros.