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Enterprise Data, Director

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: dentsu
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Location: Greater London

Join to apply for the Enterprise Data, Director role at dentsu

The purpose of this role is to lead a defined set of interdependent enterprise data projects to ensure successful delivery of the required outcomes.

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Enterprise Data Director

As the Enterprise Data Director, you will provide strategic leadership and direction for all aspects of the organization’s data ecosystem on a global scale. You will contribute to and execute the organization’s enterprise data strategy, ensure alignment to the enterprise data model, and collaborate with other business functions to drive enterprise data quality, integration, master data management, and analytics initiatives across the enterprise.

You will work cross‑functionally with business leaders, technology teams, and data professionals to drive data‑driven decision‑making, operational efficiency, and innovation.

The Role

Provide strategic leadership and direction for all aspects of the organization’s data ecosystem on a global scale. Contribute to and execute the organization’s enterprise data strategy, ensuring alignment to the enterprise data model and collaborating with business functions to drive data quality, integration, master data management, and analytics initiatives across the enterprise.

Strategic Leadership
  • Contribute and implement the enterprise data vision, strategy, and roadmap aligned with organizational goals.
  • Develop and maintain the data map and glossary that provide the standard definitions for enterprise data.
  • Champion a data‑driven culture and promote the value of data as a foundation for standardization, simplification, AI, and automation across the enterprise.
  • Partner with executive leadership to define key data priorities and performance metrics.
Data Consultancy
  • Provide data consultancy to business platform, reporting, and analytics platform implementations, key changes to ensure alignment with enterprise data model and data architecture.
  • Ensure enterprise data model alignment with master data management (MDM), metadata management, and data stewardship programs.
  • Proactively engage in analyzing enterprise data management within business functions & platforms to identify areas of standardization, simplification, and innovation.
Data Governance
  • Establish and lead enterprise data governance frameworks, policies, and standards.
  • Define and monitor operational data KPIs and ROI to measure impact and maturity.
  • Develop and monitor ways of working, engagement principles with other teams such as business functions, operations, and regions.
  • Establish and maintain global data stewardship and ownership models to ensure accountability and data quality.
Data Architecture & Integration
  • Partner with enterprise technology to ensure enterprise data architecture is maintained, enabling scalability, interoperability, and consistency across systems.
  • Oversee integration of data across disparate systems, including on‑premises and cloud platforms.
  • Partner with enterprise technology to ensure modern data infrastructure (e.g., data lakes, warehouses, pipelines) supports organizational needs.
Data Quality & Management
  • Implement data maturity frameworks, metrics, and continuous improvement processes.
  • Collaborate with business functions to standardize data definitions and usage.
Data Literacy and Training
  • Develop and maintain enterprise data training artifacts across learning platforms, internal publishing and collaboration platforms.
  • Collaborate with business functions and regional stakeholders to improve data literacy by driving data awareness, training, and adoption.
  • Drive the use of AI and automation for enterprise data team engagements.
Team Leadership & Development
  • Build, mentor, and lead high‑performing teams of data professionals (e.g., business analysts, data analysts).
  • Foster collaboration and knowledge sharing across data‑related disciplines.
  • Manage vendor relationships and oversee/support selection of enterprise data tools and platforms.
What We Are Looking For In You Education
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
Experience
  • 12+ years of…
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