Principal Product Manager – Lounge Data Platform
Zalando
Stellenbeschreibung
About the role
The Principal Product Manager will lead the strategic roadmap, architecture, and deployment of the data landscape for Zalando Lounge & Outlets. This role partners closely with the Head of Data Platform to shape a data‑driven foundation that supports AI agents, real‑time decisioning, and machine learning.
Key responsibilities
- Define and communicate a transparent product roadmap that balances short‑term business needs with long‑term platform investments.
- Own the lifecycle of reusable data products across conversational analytics, tracking, reporting, and self‑service, focusing on scalability.
- Establish an AI‑ready data foundation, including feature stores, semantic layers, real‑time data products, and metadata management.
- Drive data literacy, governance, and adoption by setting ownership, discoverability, and responsible AI standards.
Required profile
- Significant product‑management experience with complex data, platform, analytics, or infrastructure products.
- Strong understanding of what makes a data product trustworthy: clear ownership, consistent definitions, quality, documentation, and adoption.
- Ability to prioritize urgent requests against strategic investments and communicate technical topics to diverse audiences.
Required skills
- Analytics platforms and reporting tools
- Event tracking and conversational analytics
- Curated data products, semantic layers, feature stores
- Knowledge of AI‑ready data architectures, machine‑learning platforms, and real‑time data products
- Data governance, GDPR, privacy, metadata management, and data‑quality practices
What we offer
- 27 days of holiday (increasing with tenure)
- 2 paid volunteering days per year
- Employee share programme and substantial discounts on fashion, beauty, and Lounge products
- Relocation assistance, family services, health & wellbeing options, and mental‑health support
- Opportunities for continuous development through training platforms and peer‑to‑peer reviews
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