Information and Data Governance Lead

Birmingham
4 days ago
Create job alert

Michael Page have exclusively partnered with The Government Property Agency (GPA) to support on their continued Data Transformation programmes. The newly created role of Information & Data Governance Lead is pivotal in this strategy.

Client Details

The Government Property Agency

Description

Introduction:

Michael Page have exclusively partnered with The Government Property Agency (GPA) to support on their continued Data Transformation programmes. The newly created role of Information & Data Governance Lead is pivotal in this strategy. The GPA is the largest property holder in government, with more than £2.1 billion in property assets and over 55% of the government's office estate.

The GPA are transforming the way the Civil Service works by creating great places to work, leading the largest commercial office programme in the UK, working towards halving carbon emissions from government offices, and achieving greater value for taxpayers. The team are seeking innovative, solutions-focused people to work on leading transformational programmes such as the Government Hubs Programme, Whitehall Campus Programme and Net Zero Programme, as well as delivering modern, cost-effective real estate service solutions.

Innovation and progress are at the heart of GPA behaviours, fostering a culture of lifelong learning, where curiosity and self-improvement are encouraged. The organisation is dedicated to becoming a leading, inclusive employer both in the external market and throughout the Civil Service. A strong emphasis on Equity, Diversity, and Inclusion (EDI) is not just about driving inclusion across our organisation, it is also about ensuring the services meet the needs of government departments and the civil servants work environments.

Job Overview:

Data Governance underpins how the GPA collectively uses data to drive its operations in an efficient and legally responsible manner. It embraces information management, data management - including data quality improvement.
As a 'digital first' organisation, strong Information & Data Governance is critical for the GPA to support analysis, decision making and future decisions. There is a critical need to build on this area to create operating efficiencies as well as to apply advanced data science and data modelling to further support the delivery of business objectives and scenarios.
This role will lead good practices across all GPA Directorates supporting the business with data management in order to ensure compliance, accuracy, quality and completeness in decision making to deliver an optimal property experience to stakeholders, clients and customers
Work locations: Birmingham, Bristol, Leeds, Swindon, Nottingham or Manchester
Hybrid working arrangement - 2 days per week in the office

Key Responsibilities:

Leading a team of data and information management professionals to ensure GPA's information assets are trusted, compliant and fit for purpose
Establishing GPA's suite of information and data governance policies and procedures (including control and management frameworks) in accordance with wider Cabinet Office policy
Managing the maintenance of the information and data asset registers across GPA directorates and associated records of processing activities in accordance with Data Protection regulations
Administering DPIA's and SAR's for activities such as new data products and/or data share/access requests
Undertaking internal audits of GPA's information management practice and leading on responding to information audit requirements
Ensure our data lifecycles are managed effectively, including undertaking data quality audits and of GPA's and options appraisal of data quality improvement initiatives
Working with Digital Leads to ensure data systems are deployed in a way that supports and aids compliance to regulatory and business requirements
Manages and maintains all GPA data standards and establishing data standards that should be adopted

Profile

Person Specification / Key Skills Criteria & Qualifications:

Experienced team leader who can coordinate and empower a team of data professionals to advance and embed data management practices including:
Working with stakeholders to capture requirements and needs
Working with SMEs such as Business Analysts, Data Architects and Solution Architects to arrive at data management solutions
Appraisal of options to balance data sharing risks and benefits
Understanding and managing the organisational data risks and issues, and co-ordinating with data owners to accept or resolve them
Methodical and systematic approach to document controlEssential criteria:

Degree level experience in information management, data governance or similar
Formal industry data management qualification or experience (e.g. DAMA)
Extensive knowledge of working with data protection and GDPR compliance
Comprehensive of understanding of data management and governance practices including data quality, data security, metadata, master data manager
Understanding of technical tools to support data governance practices, e.g. MS Purview
Leading and managing a team including work prioritisation and task allocation
Developing and implementing information management strategy
Drafting and managing policies and procedures to effect good data management
Creating and delivering training material
Operating in a regulated data environment and requirements of GDPRDesirable criteria:

Public sector data governance or information management experience
Working in an agile delivery environment
Working with technical data professionals such as data architects / business analysts
Use of agile toolsets such as JIRA to schedule and manage activities
Understanding of data modellingJob Offer

28.9% Government Pension Scheme

Related Jobs

View all jobs

Senior Data Analyst

Software Engineer - Vice President - London - Controllers

Data Engineering Lead - AWS & Snowflake

Master Data Manager

Data Engineering Lead - AWS & Snowflake

Head of Data and Analytics

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.