National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Governance Manager - Analytics - London

City of London
2 weeks ago
Create job alert

Data Governance Manager - Analytics - London

Data Governance manager required to lead and set up analytics governance for key data outputs, making sure the organisation meets legal and regulatory standards. You'll work with different departments to build a framework, train colleagues, and ensure everyone follows the new processes.

Client Details

Data Governance Manager - Analytics - London

The client is a global financial services organisation with a strong presence in Europe, committed to delivering innovative and sustainable solutions. They value inclusivity and collaboration, offering opportunities to work on meaningful projects in a dynamic and supportive environment.

Description

Data Governance Manager - Analytics - London

Key Responsibilities:

Be the go-to expert on analytics governance standards.
Build and establish a framework for analytics governance in line with data management practices.
Train and mentor others in analytics governance.
Identify and catalogue key data outputs across the business.
Work with data owners to review, update, and track any improvements.
Support colleagues in understanding and measuring their key metrics.
Ensure compliance with BCBS239 and other data regulations.
Engage with colleagues at all levels to get buy-in for analytics governance.
Continuously review and improve how analytics governance is implemented.Profile

Data Governance Manager - Analytics - London

Skills and Experience

Essential:

Experience in setting up analytics governance or EUC governance in other companies.
Experience working with governance frameworks like BCBS239.
Familiar with data cataloguing tools like Collibra.
Background in financial services and an understanding of data regulations.
Able to train and mentor others.
Strong project and stakeholder management skills.
Ability to work independently and as part of a team.
Solid understanding of data management, data lineage, and data governance practices.
Good understanding of project delivery and software development life cycles.
Experience using Power BI or Tableau to build data dashboards.
Worked in a business with well managed self serve analytics.
Familiar with data-related regulationsJob Offer

Data Governance Manager - Analytics - London

The role offers:

Salary: £90k - £120k per annum, depending on experience.
Hybrid Working: 2 days per week in the London office, offering flexibility.
Exciting Projects: Implementing business-critical Data Analytics initiatives.
Exposure: Collaborate with senior stakeholders and gain experience across different business functions.
Comprehensive Benefits Package: Includes pension, generous holiday, and additional perks.If you're a passionate Data Governance manager with Analytics governance experiences and want to be part of an innovative, forward-thinking team, we'd love to hear from you

Related Jobs

View all jobs

Data Governance Manager

Information Governance Manager

Data Governance Manager - Analytics - London

Data Governance Manager - Analytics - London

Data Governance Manager

Data Governance Manager

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.