Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.
Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.
A Brief Overview
The Senior Manager of BI Engineering and Data Products will lead the technical execution of complex, enterprise analytics initiatives and build a high-performing BI Engineering and Data Products organization.
This position will set technical and architectural direction for scalable, governed BI platforms and data products, partner closely with Data Engineering and IT engineering teams to solve ambiguous problems, and translate enterprise priorities into durable roadmaps that deliver trusted analytics outcomes at scale.
Expected Work Location (In Office): It is expected that you will primarily perform work at the Safelite Home Office (7400 Safelite Way, Columbus, OH 43235). You are required to work in the office at least 4 days a week. Changes to work location arrangements are subject to managerial approval and business needs. #LI-Onsite #LI-JR2
What You Will Do
Provide technical and people leadership for the BI Engineering and Data Products team: Sets architectural direction and governs BI engineering standards to ensure scalable, reliable analytics solutions. Manages and develops BI Engineers and BI Developers through performance management, coaching, and workforce planning, and serves as the escalation point for complex, cross‑functional technical and delivery issues.
Scope, decompose, and lead execution of complex BI engineering problems across a variety of functional areas: Analyzes ambiguous business and analytical needs and translates them into well‑defined BI engineering designs and work plans. Deconstructs complex or legacy reporting workflows and guides the application of computer science and analytics engineering principles to ensure solutions are performant, extensible, and maintainable.
Oversee BI pipeline engineering quality and delivery: Ensures end‑to‑end quality of BI pipelines from semantic and metrics layers through dashboards and downstream da