Senior Data & AI Product Leader

McKinsey Knowledge Center Poland Sp. z o.o.

Wrocław

On-site

PLN 320,000 - 520,000

Full time

8 days ago

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Benefits offered by this job

Remote work opportunities
Private medical care
Life insurance
Parking space for employees
Employee referral program
Charity initiatives
Family picnics
Coffee / tea
Drinks
Corporate sports team
Video games at work
Shared costs of sports activities
Flexible working time

Job summary

McKinsey Knowledge Center Poland seeks a Principal Product Manager to lead the data and AI product portfolio within the GM&S Solutions Platform for CPG and retail clients. You will drive product vision, roadmaps, and delivery across multiple teams, balancing value, data quality, and governance.

You will co-own delivery commitments, mentor two PMs, and ensure disciplined execution while collaborating with data architects, engineers, and analytics teams to transform data into actionable insights

Qualifications

  • 8+ years of product experience owning complex data, platform, or AI products.
  • 2+ years managing and coaching product managers.
  • Prior experience in management consulting or multi-stakeholder services, ideally in retail/CPG/RGM.
  • Strong technical fluency to collaborate with engineering and architecture teams on data pipelines, APIs, and platform dependencies.
  • Deep practical grasp of data concepts including quality, lineage, governance, privacy, security, and data contracts.
  • Experience building and scaling ML or generative AI products and managing sensitive data and infrastructure.
  • Ability to use AI and agentic tools effectively and responsibly to accelerate workflows.
  • Ownership of the product lifecycle from discovery to delivery and iteration.
  • Strong discipline in managing complex dependencies and delivering reliably in fast-paced environments.
  • Exceptional stakeholder management and ability to present clear recommendations to senior leadership.
  • Based in designated hiring office with capability to collaborate across global time zones.

Responsibilities

  • You will lead the product function, roadmap, and delivery of data- and AI-enabled products that drive client and business value.
  • You will manage two Product Managers, raising the product quality bar and supporting their growth.
  • You will join McKinsey’s Growth, Marketing & Sales Practice within the GM&S Solutions Platform team, building data and technology solutions for CPG and retail clients.
  • The team develops scalable data platforms, pipelines, and analytics products that transform data into actionable insights.
  • You will lead product management for a ~50-person Data organization, covering the full lifecycle from framing problems to delivery and iteration.
  • Collaborating with cross-functional teams, you will define product vision, roadmaps, and success metrics and translate user needs into clear requirements.
  • Establish an intake model with clear criteria, owners, and commitments; prioritize scalable platform capabilities.
  • Drive products from discovery to launch with direct client contact and feedback loops with Client Service Teams.
  • Co-own delivery commitments, capacity plans, and release-readiness decisions with a shared accountability model.
  • Maintain concise, decision-oriented communication and robust operating mechanisms for backlog, dependencies, and risks.
  • Mentor the two PMs reporting to you to foster a high-performing culture of product discipline.

Skills

Product management
People management
Technical fluency
AI/ML product experience
Stakeholder management
Cross-functional collaboration
Data concepts (quality, governance)
Agile / product lifecycle

Tools

APIs
Data pipelines
Cloud platforms

Job description

McKinsey Knowledge Center Poland seeks a Principal Product Manager to lead the data and AI product portfolio within the GM&S Solutions Platform for CPG and retail clients. You will drive product vision, roadmaps, and delivery across multiple teams, balancing value, data quality, and governance.

You will co-own delivery commitments, mentor two PMs, and ensure disciplined execution while collaborating with data architects, engineers, and analytics teams to transform data into actionable insights

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