Sr. Principal, Technical Product Management

Sr. Principal, Technical Product Management – Nike Inc. – Beaverton, OR

Develops information technology strategies, policies and plans. Responsible for analysis, design, implementation, operations, and support of the organization's IT resources, systems, and software/database products; responsible for delivery, governance and monitoring of project(s) and/or program(s) from initiation through delivery, interfacing with engineering and product managers; responsible for a discipline or major/multiple departments, translates organization objectives into a clear team strategy, and sets and meets goals that can have far reaching impact on business segment;

solves problems where issues are not clearly defined and sufficient information may not be available; manages conflicts across cross‑functional teams, both internally and externally; accountable for results which impact the entire business segment; functions as a budget holder; maintains connections across functions; develops a team of managers and contributors; manages talent, succession planning, performance, pay, and resourcing decisions for direct and indirect reports.

Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, , IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Master’s degree in Computer Science and 6 years of experience in the job offered or in a product‑related occupation.

• Creating product strategy & vision including business case and ROI modeling
• Defining product briefs, PRDs and ability to translate business needs into technical requirements
• Integrated solution road mapping and portfolio alignment
• Analytical skills for data‑driven decision‑making and KPI definition, ownership and tracking
• Agile, Scrum, and Lean principles for product delivery
• Prioritizing backlogs and managing iterative development cycles
• Deep understanding and experience in software development lifecycle (SDLC), cloud technologies, APIs, and system architecture
• Modern technology stacks (e.g., microservices, SaaS platforms, data analytics, cloud technologies). Ability to bridge technical and business requirements for complex enterprise solutions
• API design, data architecture, and system integration concepts
• Dev Ops (CI/CD pipelines) and engineering workflows (Git Hub, APIs)
• Budget ownership and financial planning
• Knowledge of regulatory data & AI, data governance, security and privacy guidelines, and application of solutions to manage