Senior Analyst Data Governance

Datatech
Berkshire, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

P&C Data Analyst

NES Group Ltd London, Surrey, TW13 4SF, United Kingdom

Senior Finance Analyst

TJX Europe Watford, Hertfordshire, United Kingdom
On-site

Data Analyst (Contact Centre)

Mortgage Advice Bureau Derby, Derbyshire, DE1 3AE, United Kingdom
£45,000 pa Hybrid

Junior Data Engineer

Hays Technology London, United Kingdom
£310 pd

Senior Data and Insights Analyst

RG Setsquare Essex, United Kingdom
£58,231 pa Permanent

Finance Data Analyst

Hays Accounts and Finance London, City And County Of the City Of London, United Kingdom
£55,000 – £60,000 pa Hybrid
Seniority
Senior
Posted
2 Apr 2026 (Last month)

Senior Analyst - Data Governance

We're partnering with a business that's investing boldly in its data future, building a modern platform on Microsoft Fabric and now embedding the governance foundations that will make that transformation truly work.

This role sits right at the intersection of innovation, trust and organisational change. You won't just design governance; you'll shape how the entire business thinks about data.

The Opportunity

This is a high impact position where you'll influence both the framework and the behaviours that bring it to life. You'll help ensure the new platform isn't just implemented, but fully adopted, trusted and used to unlock real value.

If you want to be part of a transformation where governance becomes an enabler, not a blocker, this is your moment.

What You'll Be Doing

• Designing and implementing governance frameworks across the full data lifecycle

• Establishing clear data ownership and stewardship across business domains

• Defining access, security and classification policies that scale

• Building lineage, catalogues and a business glossary that people actually use

• Leading Fabric adoption through training, engagement and hands on support

What we require

• Confident influencing skills across both technical and non technical teams

• Experience building or embedding data governance frameworks

• Strong understanding of data ownership, lineage and access control

• Background in platform or data transformation programmes

• Exposure to Fabric or similar modern data platforms is a plus

• DAMA Certified Data Management Professional (CDMP) or equivalent data governance certification.

Why This Role Matters

You'll be a key force in turning a major platform investment into a long term organisational capability. This is governance with purpose, its practical, embedded and central to how the business evolves

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown 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 data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science 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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.