The opportunity
Manager, Analytics Engineering, Data & AI Foundations
What you'll do
Lead and develop a team of Analytics Engineers, supporting career growth,: hiring and retention, regular feedback, and alignment to the highest-impact priorities
Set the team's vision and operating model, translating broader Operations and: Analytics Engineering goals into a focused roadmap and clear measures of success
Partner with Analytics Engineering managers to understand team workflows and: identify opportunities to improve composable agents, semantic models, shared data assets, and developer tooling
Collaborate with analysts and analytics committees that use shared Analytics: Engineering assets or build their own agents, incorporating their feedback into platform strategy and delivery
Work with technical leaders to review architecture and implementation: approaches, establish scalable standards, and ensure solutions are robust, practical, and reusable
Prioritize a portfolio of cross functional initiatives, defining objectives,: sequencing, responsibilities, and resource allocation based on impact and team capacity
What they're looking for
- Partner with AI Readiness delivery teams to deploy implementation resources: against the highest priority work and remove blockers through execution
- Own and evolve core platform assets, Analytics Engineering tooling, reusable: patterns, and automation that raise the floor for every Analytics Engineer
- Advance our composable agentic Analytics Engineering delivery system and: support responsible adoption of AI-assisted workflows across the organization
- Guide the development of semantic models and metric layers that serve as: trusted, reusable foundations for analytics and AI consumption
