Data Governance Lead

CV-Library
Kings Hill, Kent
11 months ago
Applications closed

Related Jobs

View all jobs

Product Data Lead

Collaborate Recruitment Parkstone, Dorset, United Kingdom
£40,000 – £43,000 pa

Data Quality Manager

SF Partners Worcester, United Kingdom

Data Operations Manager

Pontoon Warwick, Warwickshire, United Kingdom
£600 – £700 pd

Data Governance Manager

Synapri Nottingham, United Kingdom

Data Governance & Enablement Manager

Orbit Group Binley Woods, United Kingdom

Data Lead

Copello Warminster, Wiltshire, United Kingdom
£80,000 – £90,000 pa
Posted
12 May 2025 (11 months ago)

Data Governance Lead
Kent Office - hybrid working 2/3 days PW in the office
Salary negotiable dep on experience £52,000
J12957

Please note: They can only accept and process applications from UK nationals and EU citizens with settled or pre-settled status. They cannot accept or process applications from anyone requiring a Visa or anyone holding a Graduate Visa. Applications which do not meet this requirement will be deleted without processing.

Are you a data governance specialist looking to make an impact at a purpose-driven organisation? Would you like to play a pivotal role in delivering data transformation for a global organisation?

Currently looking for a talented and experienced Data Governance Lead to join the Technology, Data and Enterprise Renewal division at this not-for-profit organisation.

In a company where every one of their staff contributes to their impact, as their Data Governance Lead you too will play an integral part in what they do and their success.

Duties
• Develop a unified data governance framework for the UK and other overseas teams
• Collaborate with the company's chosen integration partner, technology, data and business teams to deliver fit for purpose' data to the end user in a compliant way
• Create, implement, and monitor data governance policies and procedures, including data sharing between the company's entities and developing data standards based on industry best practice
• Embed the use of Microsoft Purview to support the delivery of good data governance processes
• Lead data quality improvement initiatives that deliver fit for purpose data for the end user
• Define and track key performance indicators (KPIs) to measure the effectiveness of data governance efforts.
• Develop training programs and materials to embed best data governance practice across the organisation

Skills
• Passionate about driving data transformation
• An excellent communicator with strong influencing and leadership skills
• Has a clear vision of the data end state' and how to get there
• Works collaboratively to deliver results
• Strategic thinker who understands the role of data governance in the wider transformation programme

If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

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.

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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.

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

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.