Lead Technical Product Manager, ITC

Nike; Karnataka; On-site; INR 3,600,000 - 6,000,000; Full time

Job summary

Nike is seeking a Lead Technical Product Manager to drive strategy and execution for supply chain data platforms across Nike’s global sourcing and manufacturing ecosystem. You will lead product lifecycle from discovery to delivery, partnering with engineering, data, and business teams to deliver scalable, high-impact solutions.

The role emphasizes ownership, systems thinking, and data-driven decision making, with responsibilities spanning roadmaps, architecture decisions, and cross-geography

Qualifications

• 10+ years delivering medium to large-scale products in cross-functional environments.
• Experience leading product lifecycle from discovery to delivery with minimal oversight.
• Strong ownership, systems thinking, and ability to translate business needs into scalable technical solutions.
• Bachelor’s degree or equivalent in Engineering/Technology.

Responsibilities

• Define and lead product strategy and execution for supply chain data and platforms capabilities, enabling scalable, reliable, and cost-optimized operations.
• Define, own and execute product vision, roadmap and strategies aligned to business goals and data platform priorities.
• Lead cross-functional squads through full product lifecycle from discovery to delivery.
• Translate business needs into prioritized roadmaps and value-driven outcomes.
• Partner with engineering on architecture and dependency management.
• Drive stakeholder alignment across planning, sourcing, manufacturing, and platform teams.
• Monitor product performance, define metrics and drive continuous improvement using data.
• Elevate product management maturity through best practices and mentoring.
• AI practice leadership: model effective AI use for backlog shaping and discovery artifacts.

Skills

Product leadership

Cross-functional teamwork

Stakeholder management

Data-driven decision making

Systems thinking

Education

Bachelor's degree in Engineering/Technology or equivalent

Tools

SAP APO

o9

Databricks

Tableau

Job description

Who You’ll Work With

You will be part of Nike’s Sourcing, Supply & Manufacturing technology Team, building capabilities that enable supply planning, sourcing, manufacturing, data platforms, costing, and factory execution. You will partner with engineering, data, and business teams across global supply chain domains, working closely with factory systems, sourcing operations, advanced analytics teams and planning teams to deliver scalable, high-impact solutions.

Who You’ll Work With

You will be part of Nike’s Sourcing, Supply & Manufacturing technology Team, building capabilities that enable supply planning, sourcing, manufacturing, data platforms, costing, and factory execution. You will partner with engineering, data, and business teams across global supply chain domains, working closely with factory systems, sourcing operations, advanced analytics teams and planning teams to deliver scalable, high-impact solutions.

Who We Are Looking For

Nike is seeking a Lead Technical Product Manager with strong product leadership and technical depth combined with strong domain knowledge in optimizing how we plan the inventory and buy finished goods with our factory partners considering demand prioritization, capacity constraints, and materials availability for our Demand & Supply Management teams and transforming how we serve Nike’s consumers .This individual operates at the intersection of business, technology, and operations—leading product strategy, roadmap, execution across global teams and cross-functional alignment.

The ideal candidate brings strong ownership, systems thinking, data-driven decision-making, the ability to translate business needs into scalable technical solutions and the ability to independently lead product lifecycle execution from discovery through delivery. They are comfortable operating in ambiguity, influencing senior stakeholders, manage dependencies, and ensure solutions deliver measurable business value aligned to cost optimisation, supply reliability, and operational efficiency and scale.

• 10+ years of experience delivering medium to large-scale products in cross-functional environments
• Proven experience leading product lifecycle (discovery to delivery) with minimal oversight
• Product champion with strong interpersonal & influencing skills to engage with business stakeholders across various Geographies to shape the roadmap to influence & or improve operational outcomes.
• 7+ years of experience working with SAP APO, o9 or equivalent Planning systems, Databricks & Tableau experience preferred
• Strong technical fluency - APIs, data models, distributed systems, system design and platform architecture.
• Experience influencing senior stakeholders, leading large-scale, cross-functional initiatives across geographies and aligning cross-functional teams
• Bachelor’s degree or equivalent combination of education and experience (Engineering/Technology preferred)

What You’ll Work On

You will define and lead product strategy and execution for supply chain data and platforms capabilities, enabling scalable, reliable, and cost-optimized operations across Nike’s sourcing and manufacturing ecosystem.

• Define, own and execute product vision, roadmap and strategies aligned to business goals and supply chain data platform priorities (cost, reliability, scale)
• Lead cross-functional squads through full product lifecycle from discovery to delivery
• Translate business needs into prioritised roadmaps and value-driven outcomes
• Partner with engineering on technical decisions, architecture, and dependency management
• Drive stakeholder alignment across planning, sourcing, manufacturing, and platform teams
Support integration of systems across planning, sourcing, and manufacturing domains
• Monitor product performance, define metrics, adoption tracking and drive continuous improvement using data
• Elevate product management maturity through best practices, frameworks, and team mentorship
• AI practice leadership: Model effective AI use for backlog shaping, BRDs, and discovery artifacts; share prompts, checklists, and review norms that help squads move faster without sacrificing quality.