About the Role

We’re looking for a strategic and technically strong Manager, Analytics Engineering to scale our data foundation. This role will lead the evolution of our Databricks environment, building high-quality datasets and forecast models that power insights across audience, content, and revenue.

You’ll partner closely with analytics and data engineering teams to improve how data is structured, defined, and used, setting standards for modeling, quality, and documentation. Your work will ensure analysts can work directly in the warehouse with confidence, accelerating insight generation and raising the technical bar across the team.

Key Responsibilities

• Own and evolve the teams Databricks environment, creating clear and scalable structures
• Partner with data engineering to enhance upstream (silver-layer) data models and pipelines
• Ensure data is reliable, performant, and aligned with business definitions
• Set standards for data modeling, QA, and documentation
• Coach and support analysts in writing production-quality SQL and building transformations
• Build forecasting and modeling frameworks for digital traffic and subscriber forecasting
• Partner with analytics and business teams to prioritize high-impact data investments