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.
Data Product Manager (for Marketing Data, will work directly with our marketing, data science and technology teams in a highly dynamic and fast paced environment. They will be responsible for the management and processes surrounding data related to all marketing content and marketing events/campaigns. This includes the re-usability of marketing data across our marketing systems and analytics platforms, which underpins both Burberry’s personalisation capabilities and enables increased effectiveness of marketing campaigns and investments. They will be responsible for shaping and managing a prioritised plan around evolving the data quality in this space, and interact daily with marketeers, data scientists and data architects to ensure suitability and availability of data. They will also own the content of the Enterprise Data Catalogue for marketing data domain and will be using our Data Quality / Data Observability tooling to ensure quality of Data Products they own.
Accountable for reliability and availability of Marketing data across platforms, available as products on our Analytics Platform – both for marketing content and campaigns
Accountable for marketing data processes & onboarding on to Analytics Platform
Engagement role between functions and departments to lead & coordinate marketing data processes and partner with technical teams and agencies to agree and govern marketing data lineage
Delivery and execution of marketing data feed for all marketing channels
Works with business partners to define and establish data quality rules, definitions and strategy consistent with division and organizational strategies and goals for new and legacy data feeds
Ensure Data Quality rules are captured within our Data Catalogue & Data Quality/Observability tooling, identified DQ issues are resolved within agreed SLAs and relevant audiences are informed through our Data Catalogue channels
Collaborates with Product Managers, Data Scientists and Data Analysts to ensure data quality and availability
Focuses with Data Science and Technology Teams on driving automated tagging of marketing data where required
Plays key role in ensuring marketing data is available, well curated in catalogue tools, understood and certified, enabling and uncovering further business opportunities related to marketing data
Advocating for and supporting active Data Governance within the Marketing Domain
Owns the roll out of Data Catalogue to marketing communities and owns Marketing Data Domain within the Data Catalogue
Experience in classifying marketing & campaign content using Digital Asset Management tools
Awareness of automated tagging approaches
Familiar with and able to apply in practice data quality rules and data governance procedures – experience in using DQ/DO Tool will be an advantage
Understanding of audience management
Familiar with marketing taxonomy and measurement from different digital and offline marketing channels
Capture, analyse and document requirements while supporting the communication and delivery of requirements with relevant stakeholders
Experience in common marketing channels including google marketing platform & major global and apac paid platforms such as meta, tiktok, naver etc
Has a good understanding of marketing attribution and metrics from direct platforms and those sourced via tools such as google analytics or snowplow
Have experience with platform API and can navigate platforms for definitions, data discovery
Have exposure with media spend planning process and understanding of analytics models for budgeting
Previous experience in assessing the success of marketing campaign using analytical methods
Affinity and interest in analytics and analytics tools
Confident in using SQL (medium level minimum) – hands on
Power BI / other visualisation tools knowledge at the user level preferred
Data Product Management awareness – ideally experience