Sr Director Technical Product Management DAI
Global Grade 55
Beaverton OR
WHO YOULL WORK WITH
At Nike we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this missionbuilding scalable secure and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR
We are looking for a visionary Technical Product Management leader with a passion for building world-class data platforms and services. You thrive in a fast-paced collaborative environment and have a proven track record of leading high-performing cross-functional engineering teams. We are looking for someone that is deeply technical business-savvy and customer-obsessed.
WHAT YOULL DO
The Senior Director of Technical Product Management is a strategic leader who oversees the full spectrum of platform and technical products that power enterprise-scale systems. This role sets vision and strategy influences technology direction and drives enterprise impact through team leadership innovation and cross-functional alignment.
- Lead and scale a team of Technical Product Managers responsible for building Nikes next-generation data services platform.
- Drive the design and development ofAPI-first Tier-1 business-critical data servicesthat are secure scalable and resilient.
- Partner with business facing products engineering and platform teams to define and execute the technical roadmap for NikesLakehouse and Data Mesh strategy.
- Champion best practices indata governance data pipelines and platform observability.
- Foster a culture of Technical Product excellence innovation and continuous improvement.
- Collaborate with senior leadership to align Product led initiatives with Nikes broader business and technology goals.
- Manage executive stakeholder relationships and drive alignment on complex cross-functional initiatives
- Ensure product investments support scalability resilience and long-term business agility
- Create and govern frameworks for product lifecycle management OKRs and KPIs
Skillset Required
- Minimum Bachelors Degreein Computer Science Engineering or a related field plus 12 years of progressive product management experience including 5 years in a senior leadership capacity or equivalent combinationofeducation experience or training.
- 7 Years strong foundation in distributed systems cloud-native architectures and data platforms.
- Deep expertise in at least one major cloud platform:AWS Azure GCP or OCI.
- Experience withDatabricks Snowflake AWS RDS Azure SQL or GCP Cloud SQL Apache Spark and Apache Airflow.
- Strong understanding ofLakehouse architecture Data Mesh principles data governance frameworks and modern data pipelines.
- Proven ability to deliver high-impact API-first services at scale.
- Proven leadership in managing extra-large complex product portfolios with cross-functional influence.
- Experience driving major transformation programs (e.g. modernization platform unification data strategy)
- Proven capability in building mentoring and retaining high- Demonstrated success influencing C-level stakeholders and performing product teams at scale
- technology leadership
We offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for in-person interviews closed captioning and other reasonable modifications as needed. If you discover as you navigate our application process that you need assistance or an accommodation due to a disability please complete the Candidate Accommodation Request Form.
Required Experience:
Exec