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Enterprise Data Governance Lead

Job in City Of London, Central London, Greater London, England, UK
Listing for: M&C Saatchi Group
Full Time position
Listed on 2026-09-28
Job specializations:
  • IT/Tech
    Information Security & Data Protection, Data Warehousing, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below

We are seeking an experienced Enterprise Data Governance Lead to play a pivotal role in our global data transformation, with a clear mandate to drive data unification and collaboration across the Group.

The successful candidate will lead the definition and execution of a future-ready data governance and management strategy, ensuring data is structured, controlled, and consistently managed across the business. This includes establishing clear standards, ownership, and governance frameworks that improve how data is stored, accessed, and used, enabling high-quality, trusted data that supports sustainable growth, cross-business collaboration, and evolving business and regulatory needs such as ISO
27001.

A core part of the role is to establish structure, governance, and control across the data estate, while defining and driving a clear future-state approach for data storage, access, lifecycle management, and platform usage. The role will ensure that data foundations are fit for purpose to support advanced analytics, modern data platforms, and scalable, responsible AI adoption.

As a key contributor to our global IT strategy, the Enterprise Data Governance Lead will report to the Global Head of Information Security and work closely with Information Security, Infrastructure & Architecture, and business stakeholders to shape and evolve the Group data landscape. The role requires a balance of strategic thinking and pragmatic execution, with a focus on consolidating and standardising data storage platforms and ways of working across the business.

This includes driving alignment towards a more unified approach, enabling consistent access, stronger controls, and a more manageable and scalable data estate.

Key Responsibilities Data Strategy & Future Architecture
  • Define and own the global data rationalisation and consolidation initiative, aligned to modern cloud-first principles.
  • Design a target-state data storage and governance model that is scalable, secure, and future-proof.
  • Provide extensive expertise in modern data platforms, storage technologies, and industry best practices.
Data Analysis & Rationalisation
  • Lead enterprise-wide data discovery and analysis, identifying:
    • Redundant, obsolete, or trivial (ROT) data
    • Data duplication and uncontrolled growth
    • Misuse of storage platforms
  • Conduct structured data analysis reviews and present clear, evidence-based recommendations.
  • Quantify risk, cost, compliance exposure, and opportunity associated with current data platforms.
Data Consolidation & Migration
  • Produce and maintain a clear, phased roadmap for:
    • Data migrations
    • Platform consolidation
    • Decommissioning of legacy or redundant storage solutions
  • Support end-to-end data migration initiatives, ensuring minimal business disruption.
  • Define success criteria and ensure migrations deliver tangible business outcomes.
Cloud Storage & Data Platforms
  • Act as a subject-matter expert across cloud storage platforms, including:
    • Microsoft Purview
    • Microsoft 365 (SharePoint, Teams, and One Drive)
    • Egnyte
    • Google Workspace
    • S3-compatible storage (AWS and Wasabi)
    • Traditional on-premises storage (SAN and NAS platforms)
  • Define clear usage models for each platform, including suitability for structured data, collaboration, long-term retention, and AI consumption.
  • Work closely with Infrastructure & Architecture and Information Security teams to ensure designs are secure, compliant, and cost-effective.
Data Governance, Retention & Lifecycle
  • Design and implement end-to-end data retention, archiving, and lifecycle management policies.
  • Ensure data governance frameworks support:
    • Objectives of the ISO 27001 Information Security Management System (ISMS)
    • Compliance and risk reduction
    • Data classification and sensitivity controls
    • Clear ownership and accountability
    • Controlled…
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