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Nike, Inc.

Lead Technical Product Manager, ITC

Reposted 4 Days Ago
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Remote
Hiring Remotely in Karnataka
Senior level
Remote
Hiring Remotely in Karnataka
Senior level
Lead strategy, development, and execution of data-driven products. Manage E2E product lifecycle, overseeing data integration, quality, and compliance.
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WHO YOU’LL WORK WITH

At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data, Analytics and Intelligence (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.

WHO WE ARE LOOKING FOR

We are seeking a highly motivated Product Manager to lead the strategy, development, and execution of data-driven products at Nike. The ideal candidate will possess a strong product management skills with understanding of data product lifecycle. These skills are crucial for developing scalable and high-impact data solutions that enhance Nike's business and support data-driven decision-making for stakeholders.

You will serve as a Product advocate, effectively describing the Product, its value, operation, adoption process, and upcoming changes, while tailoring information to different audiences.

Key Competencies

  • 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

  • Cross-functional expertise: Ability to interact and influence stakeholders across functions and levels

  • E2E Product Management: ability to oversee E2E product lifecycles for a product, from strategy (innovate, generate ideas, justify investments) to launch (execution, integration, sequencing), operating in-life (track performance, fix issues), managing end-of-life and measurement including integration, sequencing, and stitching across all levels

  • Functional depth: Understanding with enterprise domains like retail supply chain

  • 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 

WHAT YOU’LL WORK ON
  • 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

Top Skills

Data Analytics
Data Engineering
Databricks
Power BI
Snowflake
Tableau

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