Principal Product Manager - Data & AI Products

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SeniorZdalnie·WrocławFull-time

#466261·Dodano 2 dni temu·0

Źródło: www.pracuj.pl

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Tech Stack / Keywords

AIdata pipelinesAPIsML generative AIdata contractsdata governancedata quality

Podsumowanie oferty

Lead the product function, roadmap, and delivery of data- and AI-enabled products for consumer-packaged goods and retail clients within McKinsey’s GM&S Solutions Platform. Guide products across their lifecycle, working with data platforms, pipelines, and analytics products alongside cross-functional technical teams.

Wymagania

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 a multi-stakeholder professional services environment, ideally within retail, CPG, or RGM.
Strong technical fluency to collaborate with engineering and architecture teams on data pipelines, APIs, and complex platform dependencies.
Practical grasp of core data concepts, including quality, lineage, governance, privacy, security, and data contracts.
Experience building and scaling ML or generative AI products, including managing sensitive data and the infrastructure they require.
Ability to use AI and agentic tools effectively and responsibly to accelerate research, requirements, and product workflows.
Experience owning the product lifecycle from discovery and roadmap strategy through delivery, launch, adoption, and value-driven iteration.
Discipline in managing complex dependencies, establishing acceptance criteria, and delivering in ambiguous, fast-paced environments.
Stakeholder management skills, including structuring complex choices into recommendations for senior leadership.
Based in a designated hiring office, with flexibility to collaborate across global time zones and McKinsey's expert network.

Obowiązki

Lead the product function, roadmap, and delivery of data- and AI-enabled products.
Manage two Product Managers, raise product quality standards, and support their growth.
Lead product management for a ~50-person Data organization and take accountability for delivery across five teams.
Define product vision, roadmaps, and success metrics; translate user needs and technical constraints into clear requirements.
Establish a structured intake model with clear criteria, owners, and commitments.
Make product trade-offs and prioritize scalable platform capabilities that reduce bespoke work and improve cost-to-serve.
Drive products from discovery to launch and adoption, maintaining contact with clients and users.
Build feedback loops with Client Service Teams and align with downstream application owners on data contracts and schema changes.
Establish operating mechanisms to track backlog, dependencies, release readiness, and stakeholder alignment.
Mitigate capacity constraints and single points of failure; lead cross-functional initiatives, align senior stakeholders, and coach the two reporting Product Managers.
Own product strategy, user value, roadmaps, the product operating model, and demand prioritization; partner with the Data Architect on delivery commitments, capacity plans, risk mitigations, and release-readiness decisions.

Benefity

Costs of sports activities.
Private medical care and dental care.
Life insurance.
Flexible working time.
Integration events.
Corporate library.
Coffee, tea, and drinks.
Parking space for employees.
Leisure zone.
Meal passes.
Extra social benefits.
Employee referral program.

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Elastyczne godziny

Spotkania integracyjne

Parking dla aut

Napoje w biurze

Chill room

Inne informacje

The role is based in a designated hiring office and requires flexibility to collaborate across global time zones and McKinsey's expert network.

McKinsey Knowledge Center Poland Sp. z o.o.

Pracodawca

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