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About the Role

This role is pivotal in a global data transformation initiative, focused on driving data unification and collaboration. The successful candidate will define and execute a future-ready data governance and management strategy, ensuring structured, controlled, and consistently managed data across the business. The goal is to enable high-quality, trusted data that supports sustainable growth, cross-business collaboration, and evolving business and regulatory needs.

Responsibilities

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 expertise in modern data platforms, storage technologies, and industry best practices.
Lead enterprise‑wide data discovery and analysis, identifying ROT data, data duplication, uncontrolled growth, and 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.
Produce and maintain a clear, phased roadmap for data migrations, platform consolidation, and 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.
Act as a subject‑matter expert across cloud storage platforms, including Microsoft Purview, Microsoft 365, Egnyte, Google Workspace, S3‑compatible storage, and traditional on-premises storage.
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.
Design and implement end‑to‑end data retention, archiving, and lifecycle management policies.
Ensure data governance frameworks support ISO 27001 objectives, compliance and risk reduction, data classification and sensitivity controls, and clear ownership and accountability.
Ensure controlled exposure of data to AI tools and services.
Embed governance into disparate platforms and processes.
Escalate suspected data breaches, unauthorised access, excessive retention, inappropriate data sharing, data governance failures, or unsafe AI data exposure.
Ensure data is structured, governed, and retained in ways that enable responsible AI usage.
Work with stakeholders to define appropriate data for AI use, prevent uncontrolled or unsafe AI access to data, and ensure data platforms comply with AI guidelines.
Produce clear, high‑quality reporting and presentations for senior stakeholders.
Translate complex technical solutions into straightforward business advice.
Influence decision making across IT and the business through facts, data, analysis, and clear reasoning.

Requirements

Minimum 3-5 years’ experience in data management or related roles.
Proven experience delivering data migration, consolidation, or large‑scale data transformation initiatives.
Strong hands-on experience with cloud storage and data platforms.
Demonstrated experience implementing data retention, archiving, and lifecycle management strategies end‑to‑end.
Experience producing data analysis outputs and migration roadmaps that drive real change.
Strong understanding of data storage architectures, cloud platforms, and governance models.
Proficient in data analysis tooling, reporting, and visualisation.
Comfortable working with large, complex datasets, and extracting meaningful insights.
Forward‑thinking mindset – designs for scale, longevity, and change.
Able to operate comfortably between strategy and execution.
Strong stakeholder management and communication skills.
Pragmatic, outcome‑focused, and comfortable challenging the status quo when needed.
Experience working in global, multi‑region organisations.
Exposure to information security, compliance, or data classification frameworks.
Experience working alongside Enterprise Architecture or Information Security functions.

Skills

Data Management
Data Governance
Data Strategy
Data Transformation
Data Unification
Data Collaboration
Data Storage
Cloud Storage Platforms
Microsoft Purview
Microsoft 365
SharePoint
Teams
OneDrive
Egnyte
Google Workspace
S3-compatible storage
AWS
Wasabi
SAN
NAS
Data Analysis
Data Rationalisation
Data Migration
Platform Consolidation
Data Retention
Data Archiving
Lifecycle Management
ISO 27001
Information Security
Risk Management
Compliance
Data Classification
AI
Reporting
Presentation Skills
Stakeholder Management
Communication Skills

Location

London

Work Type

Full-time

Experience Level

3-5 years

Education Level

CDMP Practitioner (Certified Data Management Professional)
Microsoft Certified: Azure Data Fundamentals
Microsoft Certified: AI Business Professional

Salary/Compensations

Competitive salary and benefits package

Benefits

27 days annual holiday
Private healthcare
Employer contributory pension
Life assurance
Income protection
Subsidised gym membership
Learning opportunities around D&I
Mentoring programmes
Opportunity to participate in Employee Led Networks and events
Personal development support

About the Company

M+C Saatchi Group is a creative solutions company that connects specialist expertise, fuelled by data, technology, and culture, to help clients navigate, create, and lead meaningful change.
The Group operates across five core divisions: Connected Creativity; Passion Marketing; Global & Social Issues; Brand, Experience & Innovation; and Performance Media.
Headquartered in London, operations span 23 countries with major hubs in the UK, Europe, US, Middle East & Africa, Asia and Australia.
M+C Saatchi Group’s two principles, Diversity of Thought and Brutal Simplicity of Thought, guide how they build teams and solve problems.

Equal Opportunity

M+C Saatchi Group is an Equal Opportunity Employer which does not discriminate, celebrates diversity and bases all hiring and promotion decisions solely on talent and capability, without regard for any personal characteristics.
All employee information is kept confidential according to General Data Protection Regulation (GDPR).