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At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today.

We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.

INTRODUCTION

At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today.

We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.

The Senior Manager, Data Product Management will lead a team of Data Product Managers to deliver enterprise-grade data products that enable analytics, reporting, and data-driven decision-making across the organisation. This individual will be accountable for the full data product lifecycle — from strategic planning and stakeholder engagement, through to delivery, adoption, and continuous improvement, scaling through their team. Working in close partnership with technology, governance, architecture, and business teams, the role ensures that Burberry’s data products are trustworthy, scalable, and designed with the end-user in mind.

• Team Leadership and Development:Lead, mentor, and develop a team of Data Product Managers, fostering a culture of ownership, collaboration, and innovation.
• Product Strategy and Roadmapping:Define and manage the roadmap for enterprise data products, ensuring alignment with business priorities and strategic objectives.
• Stakeholder Engagement:Act as the key interface between business users, data consumers, and technical teams. Translate business needs into data product requirements and features.
• Product Lifecycle Ownership:Manage the end-to-end lifecycle of data products, from initial discovery and requirements gathering to launch, maintenance, and retirement.
• Data Quality and Governance Partnership:Collaborate with Data Governance and Data Quality functions to ensure data products are compliant, trusted, and well-documented.
• User-Centric Design:Ensure all data products are designed with usability in mind, delivering consistent, curated, and discoverable data to internal customers.
• Adoption and Change Management:Drive adoption of data products across the organisation by ensuring clear documentation, training materials, and feedback loops are in place.
• Cross-Functional Collaboration:Work with Enterprise Data Architecture, Engineering, and Platform teams to ensure products are technically robust and aligned to architecture standards.
• Performance Measurement:Define and track KPIs for data product success, including usage metrics, business impact, and quality benchmarks.
• Innovation and Continuous Improvement:Proactively identify opportunities to evolve the data product strategy, improve delivery processes, and incorporate new data assets or capabilities.

• Data Product Management Expertise:Strong track record in data product management or similar roles, ideally in a large or complex business environment.
• Team Leadership:Experience managing high-performing teams, with demonstrated ability to mentor and develop talent.
• Stakeholder Management:Proven ability to build relationships with business, technical, and executive stakeholders, driving alignment and value delivery.
• Data Fluency:Solid understanding of data concepts, data modelling, data lifecycle management, and data governance principles.
• Tool Proficiency:Familiarity with tools such as data catalogues, workflow managers, backlog trackers (e.g., Jira), and analytics platforms (e.g., Power BI, Looker).
• Agile Delivery:Comfortable working in Agile or hybrid delivery environments, with experience in backlog management, iteration planning, and stakeholder demos.
• Change Management:Skilled in promoting adoption of new products or services through enablement, communication, and support.

Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting, Retail Luxury Goods and Jewelry, and Retail

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