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 strong 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 workplace (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 measu