NIKE, Inc. is a purpose-driven organization energized by a shared commitment to move the world forward through the power of sport. We champion diversity and amplify individual passions to bring inspiration and innovation to every athlete* in the world.

• Define, own and maintain the vision, roadmap, and strategy for one of critical data products in the retail supply chain domain.
• Own, maintain and prioritize the product roadmap - break Features into stories, ensure capacity for enablers and defects.
• Oversee and manage lifecycle of data products, including data ingestion, cross-domain integrations, transformations, and consumption layers.
• Analyze costs and benefits of new systems or system integrations
• Ensure data quality, security, and compliance within all product deliverables.
• Act as the liaison between business stakeholders, engineering teams, data analysts, and supply chain SMEs.
• Accountable for defining the sprint and quarterly goals clearly, ensuring work is accepted and delivered following the guidelines and milestones set forth in the Product Roadmap.
• Facilitate agile ceremonies, prioritize backlogs in alignment with sprint goals, multi-year objectives, quarterly goals, and roadmaps.
• Communicate product progress, risks, and KPIs to Senior Management and stakeholders.
• Advocate the importance of data products and encourage their adoption across various business units.
• Identify, escalate, and remove roadblocks, triage defects, and seek clarity from consumers on issues where appropriate.
• Work with the Team to translate any internal "Enablers" into value driven stories.
• Facilitate process mapping, feature mapping with Personas, gap analysis, and data flow to assess the business implications of features, tools, or platforms.
• Prioritize and make trade-offs based on an understanding of strategies, budget, epics, enabler requirements, and goals to maximize business value.

‍

• Master’s Degree in Business Administration, Information Systems, or another relevant business/technology field. Bachelor’s Degree in Computer Science or Information Technology is preferred, but not a must.
• 8+ years of professional experience in product management, with hands on proficiency with data analytics, or data engineering.
• Proven track record of managing enterprise-scale data products or platforms
• Strong understanding of data architecture, data modeling, governance, and metadata
• Experience with tools such as Snowflake, Databricks, Tableau/Power BI, or similar
• Exceptional communication, stakeholder management, and storytelling skills.
• Experience working in Agile or Scaled Agile environments

‍