Data Product Manager

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middle
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Германия
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Английский C1
опубликована
сегодня

описание

Based in the Munich office; mobile office up to 20% of contracted hours and up to 10 days/year abroad in EU-countries, where the job and position permit.

LuxExperience is the leading digital, multi-brand luxury group and the online shopping destination for luxury enthusiasts worldwide. LuxExperience operates a portfolio of some of the most distinguished store brands in digital luxury and creates communities for luxury enthusiasts with unique digital and physical experiences. Mytheresa, NET-A-PORTER and MR PORTER, jointly comprising the luxury segments of LuxExperience, offer highly curated edits of the most prestigious luxury brands across the world, featuring womenswear, menswear, kidswear, fine jewelry & watches, and lifestyle products. YOOX, which forms the off-price segment of LuxExperience, is the leading destination for multi-brand off-season online luxury shopping. The NYSE listed group operates worldwide.

To support our Data support team we are searching for a Data Product Manager to be based in our Munich office.

задачи

  • Stakeholder Collaboration & Requirement Discovery: Partner closely with our primary stakeholders to understand their data needs, reporting workflows, and analytical pain points.
  • Initiative Scoping & Definition: Own the end-to-end scope, functional requirements, and success metrics for platform initiatives. Translate complex business needs into clear deliverables, data mapping specifications, and actionable work packages.
  • Strategic Prioritisation: Manage and prioritise initiatives, features, and fixes against competing stakeholder demands. Balance short-term operational needs and technical debt against long-term platform milestones.
  • Executive & Management Translation: Synthesise complex technical feedback, dependencies, and architectural trade-offs into decision-ready briefings and timeline impacts for leadership.
  • Triage & Investigation: Serve as the central problem-solver when requirements stall. Independently investigate logic gaps, untangle conflicting requirements, and unblock execution paths.
  • Engineering Partnership & Critical Inquiry: Collaborate closely with data engineers. Challenge assumptions constructively and grasp technical trade-offs to ensure technical solutions deliver the intended business value.
  • Agile Delivery & Backlog Health: Drive backlog refinement and requirements definition in Jira and Confluence, ensuring epics and stories have sharp acceptance criteria and clear business context.
  • Data & Logic Validation: Read through existing data logic, write and execute basic SQL queries to explore our data warehouses, validate target data structures, and answer functional questions without relying on engineering for routine discovery.

требования

  • Education: Degree in Business Informatics, Information Systems, Economics, Computer Science, Business Administration, or equivalent practical experience.
  • Relevant Experience: 3 to 5 years of experience in Management Consulting, Data Product Management, Product Ownership, or Technical Business Analysis, working closely alongside data engineering teams.
  • Stakeholder Management: Demonstrated experience engaging with diverse stakeholders, particularly analytics teams, gathering functional requirements, managing delivery expectations, and resolving conflicting priorities.
  • Scope Definition & Prioritisation: Proven track record of independently defining initiative boundaries, balancing trade-offs, and steering competing priorities to delivery.
  • Critical Thinking & Problem Triage: Strong analytical mindset with the ability to probe technical proposals, evaluate alternative solutions, and assess operational impact.
  • Executive Communication: Strong English communication skills, both written and verbal, with a proven ability to converse fluently with engineers and present clear options to management
  • Agile Tooling: Solid hands-on experience structuring initiatives, backlogs, and documentation using Jira and Confluence.
  • Conceptual Platform Literacy: Basic understanding of data warehousing principles, ETL/ELT pipelines, and modern data platforms (e.g., Databricks, dbt, cloud data warehouses, or legacy tools like Pentaho). You understand system dependencies and trade-offs without needing to write production pipeline code.
  • Hands-on SQL Skills & Data Literacy: Ability to independently write and execute SQL queries to run exploratory checks, inspect relational databases, validate schemas and qualify stakeholders feedback during discovery and acceptance testing.

условия

  • Up to 32 days of holiday, depending on the length of service, starting with 28 days
  • Mobile office with up to 20% of your total contracted hours (job and position permitting)
  • 10 days/year of mobile office abroad in EU-countries (job and position permitting)
  • Language & e-learning courses
  • Staff discount of up to 30%
  • Company pension scheme
  • Discounted membership for selected sports platforms & gyms
  • Individual support on mental health & well-being (e.g. compatibility work and family life)
  • Social Day
  • Employee Share Purchase Plan

LuxExperience is an equal opportunities employer, we encourage people with a diverse range of backgrounds to apply. We recognize and celebrate the benefits that diversity brings to our workplace, our business and our customers. We welcome and will consider all applications regardless of race and nationality, religion, color, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any other legally protected characteristics.

If you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly.

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