Data Strategy & Governance Lead

Grant Thornton UK
London
1 week 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

Master & Reference Data Strategy Lead - Belfast

Data Product Lead

Data Architect

Data Management Director - Data Publishing Strategy

Data Management Director - Data Publishing Strategy | London, UK

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 Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.