Senior Manager, Analytics Engineering

We're seeking a Senior Manager of Analytics Engineering to lead our analytics engineering team, reporting directly to our Senior Director of Data & Analytics. You'll set the technical direction and roadmap for analytics engineering, grow and develop your team, and partner closely with Business Intelligence, Data Governance, and Data Platform Engineering leadership to make sure our data foundation scales with the business.

You'll stay close enough to the work to be a credible technical voice (reviewing designs, unblocking hard modeling problems) while representing analytics engineering in broader DNA and cross-functional planning and decision-making. This role requires a strong analytical and data modeling background, a deep understanding of the modern data stack, and a passion for mentoring and growing teams.
Your Success Profile
What You Will Work On

Data Modeling & Technical Direction
Own the design, implementation, and maintenance of scalable data models and ELT pipelines, a star schema architecture, and reporting solutions that power business intelligence, reduce time to insights, and elevate our company-wide data literacy.
Define the analytics engineering data strategy and roadmap, identifying opportunities and driving execution on projects leveraging data modeling, data warehouse architecture, and other analytics engineering best practices.
Uphold and evolve best practices for data model development, testing, and documentation within your team to deliver iteratively and efficiently.
Lead significant data architecture decisions - including data model design and implementation choices that affect teams beyond your own.

Team Leadership & Development
Lead and develop a team of analytics engineers, fostering their professional growth through goal-setting, coaching, feedback, and recognition.
Manage project priorities and timelines for your team, ensuring the timely delivery of rigorous, impactful solutions while upholding high standards for data quality and integrity.
Recruit, hire, and scale the analytics engineering team as our data platform and organizational needs grow.

Cross-Functional Partnership & Delivery
Collaborate with Data & Analytics leadership and cross-functional teams (Engineering, Operations, and business teams) to understand requirements and translate them into executable projects and data products.
Partner with and influence upstream teams to raise the bar on data quality at the source, advocating for changes that prevent downstream data and reporting issues.
Build relationships with cross-functional leads to promote the adoption of new methods, technologies, and self-service data tools that help the organization scale.
Serve as the senior voice for analytics engineering in cross-functional and DNA leadership planning conversations, representing your team's capacity, priorities, and tradeoffs.