Data Strategy & Governance Lead

Grant Thornton UK
London
2 weeks ago
Create job alert

More than you expected

Grant Thornton UK LLP is part of a global network of independent audit, tax and advisory firms, made up of some 73,000 people in over 150 countries. We're a team of independent thinkers who put quality, inclusion and integrity first. All around the world we bring a different experience to our clients. A better experience. One that delivers the expertise they need in a way that goes beyond. Personal, proactive, and agile. That's Grant Thornton.

Job Description:

NEW GROUND WON’T BREAK ITSELF.

Every day our teams help people in businesses and communities to do what is right and achieve their goals.

The Data Strategy & Governance Lead is a pivotal role within DRD (Data, RegTech and Digital) practice within FS BRS (Financial Business Risk Services). This role is responsible for providing specialized services in data management and data governance, and act as an SME on a wide range of client engagements including designing, and delivery of data standards across the organisations.

The role demands a proactive, self-motivated individual with strong communication skills and the ability to forge and maintain strong relationships. The successful candidate will be instrumental in growing the function and significantly contributing to business revenue and sales.

We’re happy to talk flexible working and consider reduced hours and job shares, we’ll support you to balance your work and life.

A look into the role

As a Data Strategy & Governance Lead within our Data, RegTech and Digital practice, you will:

  • Provide advisory services to clients including designing and implementing data governance frameworks.
  • Provide technical and practical advice and solutions tailored to individual client needs depending on the scale and nature of their business.
  • Define, assure and implement data and AI governance frameworks, including policies, standards, regulatory compliance, data risks and controls, data quality, metadata management, and regulatory compliance frameworks.
  • Implement and refine data management and governance tools to automate data management, enhancing efficiency and accuracy.
  • Drive sales and business development activities primarily within financial services industry, build and maintain strong client relationships, understand client needs, and develop tailored solutions that address those needs.

Knowing you’re right for us

Joining us as a Data Strategy & Governance Lead, the minimum criteria you’ll need is the ability to provide advisory services to clients including designing and implementing data management, data and AI governance frameworks, conduct data and AI maturity assessments, and benchmarking clients against industry best practices. Proven experience in data and AI strategy and data governance in Financial Services within a consultancy or industry. Experience in driving sales and business development activities. It would be great if you had some of the following skills, but don’t worry if you don’t tick every box, we’ll help you develop along the way.

  • A relevant data qualification e.g. CDMC, DAMA, DCAM.
  • Experience with data governance platforms and tools such as Collibra, Informatica, Alation, Ataccama or equivalent.
  • Experience with data software e.g. Snowflake, Databricks, Microsoft Purview, Collibra, Informatica or AWS.
  • In-depth knowledge of global data regulations and standards e.g., GDPR, DORA, BCBS 239, EU AI Act.
  • Thorough understanding of data architecture, data analytics and data management principles, and the ability to incorporate these into client solutions.

Knowing we’re right for you

Embracing uniqueness, the culture at Grant Thornton thrives on the contributions of all our people, we never settle for what is easy, we look beyond to deliver the right thing, for everyone. Building an inclusive culture, where we value difference and respect our colleagues helps our people to perform at the best of their ability and realise their potential.

Our open and accessible culture means you’ll interact with leaders who are interested in you and everything you bring to our firm. The things that set you apart, we value them. That’s why we give you the freedom to bring your whole self to work and pursue your passions inside and outside of work.

Beyond the job

Life is more than work. The things you do, and the people you’re with outside of work matter, that’s why we’re happy to look at flexible working options for all our roles, and we’ll always do our best to keep your work and life in balance.

The impact you can make here will go far beyond your day job. From secondments, to fundraising for local charities, or investing in entrepreneurs in the developing world, you’ll be giving back to society. It’s that drive to do the right thing that runs through our every move, grounded in our firm’s values – purposefully driven, actively curious and candid but kind.

We’re looking for people who want to contribute, spark fresh ideas and go beyond expectations. People who want to be able to proudly do what’s right, for the firm, our clients, our people and themselves.It’s how it should be.

#LI-ME1

#J-18808-Ljbffr

Related Jobs

View all jobs

AI Governance Lead

Data Engineer & Analytics Lead

Data Scientist

Data Engineer - Azure

Data Architect

Associate Data Engineer

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.

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.