The Self-Service Operational Analytics and Reporting team plays a key role in the overall Nike Technology organization, specifically the AI, Platform Engineering and Development Experience Team. This team is tasked with delivering self-service analytics to the business end user. Databricks provides the foundation layer, the semantic layer is PowerBI with Analytics being provided by multiple technologies.
WHO WE ARE LOOKING FOR:
The candidate needs to have an excellent background in Data and Software Engineering coupled with solid leadership and people management skills. The foundation layer is built in Databricks and the Director to expected to lead the enterprise data and analytics strategy. The candidate will oversee scalable data architecture, governance, and advanced self-service analytics initiatives. Success requires hands-on exposure to the Databricks setting (Delta Lake, Unity Catalog, Workspace, Spark and Genie Code) to drive machine learning, pipeline optimization,
and cross-functional cloud-native data solutions to ultimately deliver business end users the ability to self-generate, appropriate analytics.
WHAT YOU WILL DO:
The Director will manage multiple squads working in an Agile and Lean Software Engineering environment with a significant emphasis on Excellence in Engineering. They will manage multiple squads and report to the Senior Director. They will work with their respective squads and across multiple partners within the Technology organization, as required, to ensure solutions are both functionally and non-functionally, best in class. Finally, they will manage support engineers for L1/L2 incident management.
KEY QUALIFICATIONS:
- 15+ years leading engineering teams, including 3+ years at Director level managing managers or senior ICs.
- Proven experience building and scaling engineering teams, including hiring and retaining senior talent.
- Proven ability to translate multi-year strategy into squad-level roadmaps with measur