Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Manager - Data Governance

Kindred Group plc
London
3 days ago
Create job alert

Direct message the job poster from FDJ UNITED

Overview

FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.

We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.

Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME

The role

We are building the sportsbook of tomorrow at FDJ United. We are recruiting a Senior Manager into our established Sportsbook Data organisation to lead our data governance strategy and implementation.

Responsibilities
  • Champion and drive strategy for adoption of Data Mesh principles across Sportsbook Data and Engineering.
  • Define data products, the remit of data product owners, align with architects and principal engineers for how we expose products within domains and abstract implementation details within the domain.
  • Specify and own central policies, drive and influence adoption of these policies with a mandate set by senior leadership.
  • Set requirements to guide the development of our self-service data and machine learning platform to facilitate a model of decentralised data domains.
  • Set a shared vision for data governance with the Head of Data and then define, own and drive a coherent implementation strategy.
  • Closely interface with the GRC function to establish policies for security, privacy, retention policies and AI governance, aligning with central teams as needed.
  • Closely interface with central/integration Architects taking a holistic view to identify opportunities and drive positive change.
  • Alignment with data and engineering functions within peer platforms, agreeing governance and process between platforms.
  • Align with data quality/stewardship efforts within teams and facilitate alignment where it benefits domains.
  • Champion data governance mindset within teams, including outreach, training and alignment.
  • Work with a global stakeholder network in EU and Australia; promote flexibility and autonomy in your working pattern.
  • Ensure that you and your team adhere to Governance, Risk & Compliance (GRC) obligations and that compliance reporting processes are followed.
  • Raise non-compliance incidents appropriately and ensure team awareness of reporting processes.
  • Challenge processes, policies and projects that could negatively impact compliance within the Group.
  • Complete all mandatory compliance trainings within the set deadlines and reach out to Compliance Teams if unsure of obligations.
Qualifications
  • Demonstrable holistic experience working in data domains, including data architecture, data engineering, data product development, data stewardship/quality management, and data governance.
  • Experience driving high profile data governance initiatives with measurable impact.
  • Ability to drive organizational and cultural changes through a clear vision and delivery plan.
  • Understanding of compliance and legislation; experience working with data protection officers and GRC functions.
  • Technically strong leadership; ability to guide adoption of principles and policies and occasionally provide tooling to enable policy implementation. Technologies used by the teams include Kafka, AWS S3, DynamoDB, Postgres, Elastic, Airflow, DBT, openmetadata, asyncAPI. Development work is Java, Python, .NET.
  • Solid understanding of data and engineering system design and architecture; able to engage with architects as peers.
  • Strong communication skills with the ability to sell a vision and influence across audiences from delivery teams to Directors and Execs.
  • Ability to articulate initiatives, accomplishments and value from governance initiatives quarter to quarter.
Our Way Of Working

Our world is hybrid. A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.

Application Process

We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as age, gender, origin, religion, sexual orientation, neurodiversity or disability.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Manager - Data Engineering

Senior Manager, Data Governance

Senior Manager, Data Analytics & Visualization

Data Strategy Consulting - Senior Manager - Financial Services Advisory and Technology Solution[...]

Data Strategy & Management Consultants (Senior Manager/Director, Financial Services)

Senior UK Data Analyst

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.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.