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For Companies At a Glance
- Tasks: Lead data governance initiatives to enhance data quality and drive responsible innovation.
- Company: Join a forward-thinking tech firm focused on growth and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional development.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Shape the future of data governance while making a real impact in a dynamic environment.
- Qualifications: Experience in data governance frameworks and strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
The Department
Our Technology team continues to go from strength to strength, playing a vital role in firm-wide innovation and strategy. Far from being a support function, Technology is integral to the firm’s growth agenda, backed by strong leadership engagement and sustained investment.
The Role
Build a modern, outcome-driven data governance capability that strengthens the firm’s resilience and unlocks business value. The Data Governance Manager will operationalize the firm’s governance model to embed privacy-by-design, proportionate controls, and clear accountability, improving data quality, enabling responsible innovation, and reducing the firm’s data attack surface as part of holistic risk management. This role ensures governance is not just compliance, but a strategic enabler for growth and protection.
Duties and Responsibilities
- Establish and maintain data governance roles, responsibilities and structures supported by practical policies, standards and data artefacts.
- Operationalize DGC priorities via quarterly delivery roadmaps and cadences; co-chair working and strategic meetings as needed.
- Introduce and maintain enterprise taxonomy, glossary and lineage in Microsoft Purview; ensure certified definitions are adopted in reporting and AI.
- Deliver an Information Asset Register and put in place processes to govern registered assets and critical data elements.
- Stand up domain data quality scorecards, remediation workflows and continuous improvement; drive measurable improvements (≥75% compliance for priority domains).
- Implementation of retention, classification and confidentiality safeguards proportionately across key systems (e.g., iManage / Intapp Walls).
- Lead privacy by design reviews and coach delivery teams, so governance guardrails enable pace rather than add friction.
- Publish evidence-based assurance packs for CIO/DGC, escalating unresolved risks and tracking actions to closure.
- Own the quarterly Operating Model delivery plan for Data Governance; report progress monthly to DGC/CIO with evidence-based metrics.
- Coordinate with the firm’s AI governance mechanisms to embed proportionate controls and provide assurance (e.g., participate in AIRA risk assessments; surface outcomes and escalations to the AI Governance & Risk Committee).
- Operationalise AI readiness in delivery, ensure classification, retention and confidentiality safeguards are prerequisites for go live; align Purview sensitivity labels and Defender DLP/MDCA controls to approved policy and usage patterns for Copilot/AI tools.
Skills and Experience
- Proven experience designing and operationalizing data governance frameworks in complex, regulated environments (experience in legal settings highly desirable).
- Excellent communication and influencing skills; able to simplify governance concepts and drive adoption across legal and business audiences.
- Strong understanding of data quality management (controls, scorecards, remediation) and privacy/retention operations.
- Experience of process mapping, improvement and automation; comfortable with federated accountability across domains.
- Hands-on AI/LLM governance execution: able to run AIRA style risk assessments, document decisions and produce assurance packs that leadership can rely on.
- Microsoft 365 governance literacy: understands Copilot access via M365 ACLs; uses Purview labels for encryption/usage restrictions and coordinates with Defender DLP/MDCA for SaaS/web governance.
- Methodologies: pragmatic DAMADMBOK application and familiarity with EDM Council DCAM; able to embed privacy by design and DPIA in delivery cadences.
- Experience aligning data governance with cyber risk frameworks to reduce the organization’s data attack surface.
- Ability to link governance outcomes to business value and client trust, with measurable KPIs and assurance reporting.
- Knowledge of GDPR, UK Data Protection Act, and sector-specific compliance obligations.
- Experience managing governance risks across SaaS platforms and third-party integrations.
- Outcome focused leader who rationalises and simplifies complex issues and articulates benefits clearly.
- Flexible and adaptable, comfortable with ambiguity as the business evolves.
- Collaborative and personable, able to build trust and influence senior stakeholders.
- Bias for action, designs lightweight governance that enables autonomous delivery.
Qualifications
- Degree in Information Management, Computer Science, Data/Information Governance, Law/Compliance or equivalent experience.
- Optional certifications: IAPP (e.g., CIPP/E, CIPM); DAMA CDMP; familiarity with EDM Council DCAM; relevant Microsoft Purview/Compliance certifications; awareness of ISO 27001/27701.
Data Governance Manager in London employer: Mentmore
Contact Detail:
Mentmore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its data governance practices. Be ready to discuss how your experience aligns with their needs, especially around privacy-by-design and data quality management.
✨Tip Number 3
Showcase your skills through practical examples. When discussing your experience, highlight specific projects where you’ve operationalised data governance frameworks or improved data quality. Numbers speak volumes!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Governance Manager in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Governance Manager role. Highlight your experience in data governance frameworks and how they align with our needs. We want to see how you can bring value to our team!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past experiences that showcase your ability to operationalise data governance and improve data quality. We love seeing real-world applications of your expertise.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while still showcasing your personality.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Mentmore
✨Know Your Data Governance Frameworks
Make sure you brush up on your knowledge of data governance frameworks, especially in complex environments. Be ready to discuss how you've designed and operationalised these frameworks in the past, and how they can drive business value.
✨Showcase Your Communication Skills
Since this role requires excellent communication and influencing skills, prepare examples of how you've simplified complex governance concepts for different audiences. Think about times when you successfully drove adoption of governance practices across teams.
✨Demonstrate Your Understanding of Data Quality Management
Be prepared to talk about your experience with data quality management, including controls, scorecards, and remediation workflows. Highlight any measurable improvements you've achieved in previous roles, as this will show your outcome-focused approach.
✨Familiarise Yourself with Relevant Regulations
Brush up on GDPR, the UK Data Protection Act, and any sector-specific compliance obligations. Be ready to discuss how you've managed governance risks in regulated environments, particularly with SaaS platforms and third-party integrations.