Overview
In this role you will shape how data is organized and trusted across VF Corporation’s global media activity. You will build and maintain a global governance framework, enabling consistent taxonomies, data dictionaries and source catalogs. You’ll collaborate with Publicis and VF teams to improve reporting accuracy and decision-making. The role sits at the crossroads of analytics, activation and planning, offering scope to modernize tooling and scalable processes while contributing to a data-driven culture.
Pay / Benefits
- Pension
- Life Assurance
- Private Medical cover
- Reflection Days
- Shared Parental Leave
Responsibilities
- Develop and evolve a global data governance framework covering workflows, standards, taxonomies and procedures
- Own taxonomy governance across dashboards, planning tools and data-enabled systems, ensuring consistent information structure
- Maintain the global data dictionary with aligned definitions, metadata and structures
- Build a catalogue of data sources, ownership, usage and lineage across Publicis and VF Corporation
- Monitor data quality and compliance, coordinate improvements with global teams
- Partner with analytics, activation, planning and market teams to resolve data challenges and strengthen reporting accuracy
- Contribute to the data and reporting roadmap by identifying opportunities for better tools, automation and scalable processes
Key requirements
- Proven experience in data governance, data management or analytics in digital marketing or multi-market environments
- Strong understanding of taxonomies, metadata standards and data quality processes
- Practical knowledge of digital media platforms (Meta Ads Manager, TikTok Ads Manager, DV360, Google Ads)
- Experience with BI/visualisation tools (Power BI, Tableau, Looker Studio)
- Confident Excel skills (pivot tables, lookups, data manipulation)
- Clear communication skills for diverse stakeholders
- Collaborative and organized approach with ability to lead multiple governance workstreams
- clear communication
- collaboration
- ownership
- data governance
- taxonomy and metadata management
- data quality
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