Lead Technical Product Manager – NIKE, Inc. - Beaverton, OR. Lead the creation of an end-to-end product/platform vision and multi-year roadmap for a function in partnership with engineering teams; Partner with stakeholders to understand business needs, outcomes, and value and ensure roadmaps are aligned to those needs; Ensure roadmaps account for and integrate dependencies across functional areas within domains; Review tech team roadmaps and ensure they account for and integrate dependencies across functional areas within domains; Provide inputs into overall end to end global tech roadmap development; Utilize a "customer-centric" mindset in designing roadmaps and building products/platforms that both meet current and future enterprise needs; Develop product and platform strategies to ensure they deliver outsized value to global tech quickly and are built to be scalable and agile; Deliver value to the business via products and platforms while elevating product management maturity; Drive the execution steps of product management in accordance with the value framework; Ensure adherence to all standard TPM ways of working including process, artifacts, templates, and collaboration models; Track value delivered, product adoption, performance, and execution against the end to end roadmap and adjust roadmaps as necessary; Monitor TPM maturity throughout all levels of the tech team, including role development and career pathing; Facilitate decision-making across priorities with portfolio management; and work with Digital Product Creation partners and cross-functional teams in line planning and merchandising, design, and manufacturing teams. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY. 

Employer will accept a Bachelor’s degree in Computer Science or Information Technology and 5 years of experience in the job offered or in a computer-related occupation.  
 
Experience must include: 

• Snowflake  

• AWS 

• MMX  

• CDB  

• ETL  

• Databricks  

• SQL  

• Python  

• PCX  

• Data Governance 

• Data Modeling and Profiling