Manager - Data and Data Science Strategy - Emerging Data and Capabilities

lloyds banking group
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Manager, Data Science

Manager, Data Science - Shipping

Product Manager - Machine Learning

Product Manager III - Artificial Intelligence & Machine Learning Platform

Engineering Manager, Data & Machine Learning

Engineering Manager - MLOps & Analytics

End Date

Monday 05 January 2026

Salary Range

£65,385 - £72,650

We support flexible working – click here for more information on flexible working optionsFlexible Working Options

Job Share

Job Description Summary

Help lead and shape projects and initiatives across the group to drive the Groupwide Data & Analytics Strategy & Culture, including supporting development of the operating model and supporting innovative ways and technologies to help deliver our strategy. Producing insightful, high quality information - tailored to senior stakeholder needs EITHER through managing a small team AND/OR operating as a research professional.

Job DescriptionJOB TITLE: Manager - Data and Data Science Strategy - Emerging Data and CapabilitiesLOCATION(S): Chester or ManchesterHOURS: Full-timeWORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time at an office hub mentioned above.About this role

We’re looking for a strategic thinker and data innovator to help shape the future of how we use emerging data and advanced analytics across Credit Cards and the wider Group. In this role, you’ll lead projects and initiatives that drive our Groupwide Data & Analytics Strategy and culture, championing new technologies and approaches that unlock value for customers and the business.

You’ll play a key part in closing the gap in ownership and coordination of new data sources—such as Open Banking and Enriched Transaction Data—ensuring alignment across Cards, Platforms, Consumer Lending, and the Group. Whether managing a small team or operating as a research professional, you’ll produce high-quality insights tailored to senior stakeholders and influence how we apply data to deliver impact.

Key activities in the role:
  • Manage and deliver the Emerging Data and Data Science strategy to support Credit Card initiatives that enable us to personalise and engage customers deeper
  • Collaborate closely with various collaborators to understand their needs and address challenges with innovative solutions.
  • Partner with Data Scientists, Machine Learning Engineers, and technical SMEs to explore and implement solutions that deliver significant customer and business value.
  • Maintain positive relationships with colleagues and teams to ensure seamless delivery of new capabilities.
  • Establish and track metrics to measure and communicate the performance and impact of new data initiatives.
  • Invest in personal development opportunities to grow your capabilities continuously.
  • Keep up to date with developments in Data, Data Science, and AI within the Credit Cards domain and share insights regularly with the team.
  • Keep a complete understanding of our technology transformation journey and apply emerging data and technology to market successfully.
We’re looking for candidates with the following knowledge, experience and capabilities:
  • Proven expertise in directing Data and Data Science projects, working with both business and technical teams.
  • Experience applying new data sources to assess risk and personalise pricing.
  • Ability to build and manage strategic roadmaps aligned with business objectives.
  • Exceptional skill in distilling complex information into clear insights for decision-making.
  • Comfortable working in ambiguity and navigating evolving priorities.
  • A self-starter with the initiative to advance work independently and collaboratively.
  • A solid understanding of and passion for the credit card industry, with awareness of Machine Learning potential.
About working for us

Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we’re committed to creating an environment in which everyone can thrive, learn and develop.

We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.

We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.

We also offer a wide-ranging benefits package, which includes:
  • A generous pension contribution of up to 15%
  • An annual performance-related bonus
  • Share schemes including free shares
  • Benefits you can adapt to your lifestyle, such as discounted shopping
  • 30 days holiday, with bank holidays on top
  • A range of wellbeing initiatives and generous parental leave policies

If you’re passionate about driving innovation and shaping the future of data, this is your moment. Join us and lead the way in transforming how we think, build, and deliver solutions that matter.Apply today and let’s create the future together!

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.


#J-18808-Ljbffr

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.