Location
London

Hours
Full Time

Salary
Negotiable

About the Role
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, customers and communities. As a purposeful, values-driven brand, we are committed to creating the next generation of sustainable luxury, driving industry change and championing our communities.

The Senior Manager, Data Products & Governance establishes and leads a product-led approach to data across Burberry, ensuring investment focuses on data products that solve priority business problems and deliver measurable outcomes. This role line-manages five Data Product Managers who collaborate with domain stakeholders and cross-functional squads to understand user needs, define product vision and outcomes, shape roadmaps, prioritise backlogs and drive adoption.

The role is also accountable for enterprise data governance through the Data Governance Manager, ensuring governance is centrally facilitated but business led, embedding ownership, quality, metadata, lineage, stewardship, privacy and classification by design. Working closely with Enterprise Data leadership, Data Engineering & Platforms, Architecture, Delivery and business leaders, this position connects business value, product priorities and governance into a coherent enterprise data portfolio.

Key responsibilities include leading and developing the Data Products & Governance capability, defining and maintaining Burberry's data product management operating model and lifecycle, coaching Product Managers, shaping portfolio demand and prioritisation, ensuring effective partnership with Delivery and Engineering teams, establishing product performance and value management, acting as a senior partner to business leaders, owning the enterprise data governance framework, embedding governance by design, and providing clear portfolio and governance reporting to leadership.

Experience
- Proven experience leading data product management, digital product management or data and analytics product teams within a complex, multi-function organisation.
- Strong understanding of product management practices including discovery, user needs, product vision, roadmaps, prioritisation, outcome definition, adoption, value measurement and lifecycle management.
- Experience operating a data product model with Product Managers working alongside cross-functional engineering and delivery squads in an Agile or product-led environment.
- Strong understanding of data governance and data management including ownership and stewardship, data quality, metadata, lineage, business glossaries, catalogue management and governance operating models.
- Demonstrated ability to prioritise a portfolio of competing data demands and make transparent trade-offs based on strategic alignment, business value, risk, dependencies and capacity.
- Strong people leadership experience including coaching and developing Product Managers and data management/governance professionals within a matrix organisation.
- Demonstrated ability to influence senior stakeholders (VP / Director level), establish accountability without direct authority and translate business priorities into clear data product outcomes.
- Strong understanding of the modern data and analytics landscape including how data products connect to data platforms, engineering, architecture, BI/visualisation, AI, privacy and security.
- Effective communicator across business and technical settings, able to simplify complex data concepts, facilitate prioritisation decisions and communicate product value and governance requirements clearly.

About you
Strategic and collaborative leader with a passion for data products and governance. You are able to balance technical knowledge with business acumen, inspire and develop teams, and build strong partnerships across diverse stakeholders. You thrive in complex environments and are committed to driving measurable business outcomes through data excellence.

Qualifications
Relevant qualifications or equivalent experience in data product management, data governance, digital product management, or related fields are desirable but not mandatory.