Senior Director, Reporting & Analytics Engineering

Key details

• Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning
• Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure
• Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy
• Own the organization's budget, vendor relationships, and contractor or offshore capacity
• Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc
• Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, AI enablement, data science, and downstream applications
• Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled data products
• Partner with Data Science to productize and visualize their models, enable generative AI and LLM-based access to data, build exception-based systems that alert users when outcomes deviate from expectation, and design agents that monitor data continuously and deliver insight without being asked
• Work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process
• Company mission
• Information not specified