Principal Product Manager Lounge Data Platform (all genders)

THE ROLE & THE TEAM

We are looking for a Principal Product Manager Data Platform to lead the strategic roadmap architecture and deployment of our Lounge & Outlet data landscape. You play a pivotal role in driving business growth by unlocking the value of data in Zalando Lounge & Outlets.

The Data Platform team serves as the central foundation for Zalando Lounge & Outlets. We build the tools infrastructure and curated data productsspanning conversational analytics tracking semantic layers reporting and data governancethat empower the organization to make data-informed decisions.

Partnering closely with the Head of Data Platform you will bring a sharp product perspective to our technical strategy : driving product discovery managing complex stakeholder needsworking closely with engineers and analysts and establishing an AI-ready data foundation for intelligent agents real-time decisioning and machine learning.

Learn more about our culture and how our hiring process looks like.

INCLUSIVE BY DESIGN

If you think you have what it takes we encourage you to apply even if you dont meet every single requirement. You may just be the right candidate for this or other roles!

At Zalando our vision is to be the leading European technology platform for fashion and lifestyle one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes focusing on your qualifications skills and contributions. To support this we kindly ask that you refrain from including personal details such as your photo age or marital status in your CV ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process please let us know we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace: WED LOVE YOU TO DO (AND LOVE DOING)

Turn strategy into outcomes:

• Partner with the Head of Data Platform to shape and evolve the data-platform strategy using evidence from stakeholders technology and the wider market.

• Translate business goals into a prioritized transparent product roadmap and balance immediate business needs with long-term investments.

• Communicate the roadmap and the reasoning behind priorities to technical and non-technical audiences.

Lead the data-product portfolio

• Own the lifecycle of reusable data products across conversational analytics tracking reporting and self-service.

• Focus on building scalable platform capabilities rather than one-off fixes.

• Define measures for adoption usability reliability data quality enablement and business impact.

Build an AI-ready data foundation

• Define capabilities required for machine learning predictive models and AI agentsincluding feature stores semantic layers real-time data products and metadata management.

• Ensure data is designed for both human and machine consumption with clear definitions ownership provenance permissions and quality expectations.

• Drive literacy governance and adoption

• Establish data ownership improve product discoverability empower self-service usage and ensure responsible AI privacy and security standards.

WED LOVE TO MEET YOU IF

• You have significant product-management experience including ownership of complex data platform analytics infrastructure or enterprise products.

• You have understanding of analytics platforms & reporting tools event tracking conversational analytics experimentation curated data products semantic layers feature stores or reusable machine-learning features.

• You have a good understanding of what makes a data product trustworthy and useful including clear ownership consistent definitions quality documentation discoverability and adoption.

• You possess sufficient knowledge of modern data and AI architectures to engage credibly with engineering and data specialists and make informed product decisions.

• You have excellent prioritization skills and the judgment to balance urgent requests with strategically important investments.

• You are comfortable working across multiple domains and switching context while maintaining a coherent overall direction.

• You have strong communication and influencing skills particularly when explaining technical topics to different audiences uncertainty trade-offs and dependencies.

IT WOULD BE AN ADVANTAGE IF YOU HAVE

• Familiarity with AI agents retrieval architectures machine-learning platforms or real-time data products.

• Knowledge of data governance data lifecycle privacy (GDPR EU AI act) data contracts observability metadata management or data-quality practices.

OUR OFFER

Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• 27 days of holiday a year to start for full-time employees (1 day for every calendar year up to 30 days)

• 2 paid volunteering days a year

• Employee shares programme

• 40% off fashion and beauty products sold and shipped by Zalando 30% off Lounge by Zalando discounts from external partners

• Relocation assistance available (subject to prior agreement)

• Family services including counselling and support

• Health and wellbeing options (including Wellhub formerly Gympass)

• Mental health support and coaching available

• Drive your development through our training platform and biannual peer-to-peer review