Data Governance Analyst

CV-Library
Reading, Berkshire
12 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Senior Solutions Architect - Lakewatch

Databricks London, United Kingdom

Operations Analyst, User Operations (Trust & Safety) - EMEA

OpenAI London, United Kingdom
Hybrid

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland

Director: Forensic Technology/Data Analytics/FinCrime/Regulatory

Brimstone-Recruitment City Of Dublin, Ireland

ML Engineer

Data Idols Farringdon, Greater London, London, EC1M 4BJ, United Kingdom
£60,000 – £65,000 pa Hybrid

Treasury Back Office Lead

Ocado United Kingdom
Posted
23 May 2025 (12 months ago)

As a Data Governance Analyst, you will support the Data Governance Manager in implementing and maintaining the organisation's data governance framework. Your role will involve ensuring data quality, consistency, and compliance across various data domains. You will work closely with data owners, data stewards, and IT teams to enforce data governance policies and procedures and support Master Data Management (MDM) initiatives.

What you’ll be doing as a Data Governance Analyst

Assist in developing and articulating the organisation's data governance vision, strategy and roadmap.
Support the activation and enforcement of the data governance program vision.
Collaborate with various stakeholders, including IT teams, business units, and data owners.
Ensure that master data is accurately represented, consistently defined and easily accessible across the organisation.
Provide training and guidance to employees on data governance principles, policies and procedures.
Assist in establishing mechanisms for governance oversight, including regular reviews and audits.
Ensure compliance with data-related regulations and manage data-related risks.
Support the Data Governance Manager in leading and facilitating council meetings, driving decision-making processes and ensuring alignment with organisational objectives.Base Location: Reading - Hybrid.
Working Pattern: 36 Hours.

What you should bring to the role

Strong understanding of data governance principles and practices.
Experience with MDM initiatives.
Familiarity with tools like Azure Purview.
Proficient in data management tools and technologies.
Strong analytical skills.
Experience in agile iterative project management methods.
Experience in big data cloud approaches.What’s in it for you?

Competitive salary between £45,000 and £55,000 per annum, depending on experience.
Annual Leave - 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays)
Generous Pension Scheme through AON.
Access to lots of benefits to help you take care of you and your family’s health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling to Cycle to Work schemes, shopping vouchers and life assurance.Find out more about our benefits and perks

Who are we?
We’re the UK’s largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people and the planet to thrive. It’s a big job and we’ve got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come.

Learn more about our purpose and values

Working at Thames Water
Thames Water is a unique, rewarding and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you’ll enjoy fast-tracked career opportunities, flexible working arrangements and excellent benefits.

Whether you’re interested in a role in one of our call centres or science labs, we’re looking for people like you with real passion and a burning desire to make things better.

So, if you’re looking for a sustainable and successful career where you can make a daily difference to millions of people’s lives while helping to protect the world of water for future generations, we’ll be here to support you every step of the way. Together, we can build a better future for our customers, our region and our planet.

Real purpose, real support, real opportunities. Come and join the Thames Water family. Why choose us? Learn more.

Our overarching aim is to ensure that Thames Water is a great, diverse and inclusive place to work. We welcome applications from everyone and offer extra support for those who need it throughout the recruitment process. Our aim is to remove any real or perceived barriers to success, so if you need assistance, we’re here to help and support.

When a crisis happens, we all rally around to support our customers. As part of Team Thames, you’ll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It’s also a great opportunity to learn more about our business, meet colleagues and earn some extra money along the way.

Disclaimer: Due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.