Senior Data Manager - Curation

Edinburgh
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Science Lead / Manager

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

Data Science Manager

Senior Data Scientist

Senior Data Scientist – NLP & MLOps

End Date

Monday 24 March 2025

Salary Range

£0 - £0

Flexible Working Options

Hybrid Working, Job Share

Job Description Summary

.

Job Description

JOB TITLE: Senior Data Manager - Curation

SALARY: £83,411 - £98,130

LOCATION(S): Edinburgh, Halifax, Leeds

HOURS: Full-time

WORKING PATTERN: Our work style is hybrid, which involves spending at least

two days per week, or 40% of our time, at one of our office sites.

About this opportunity

Risk Division is central to Lloyds Banking Group and data is a key enabler in satisfying the needs of our internal and external customers. The RDE purpose is to enable  through Trusted Data. We're evolving our data & technology offering, our culture, and our attitude to create a truly data-led organisation. 

This role will  be working closely with the Risk Platform team as we move towards our future state as you help drive how we strategically change the data experiences for the benefit of our Colleagues, Customers, and the Group.
For the right candidate, this role provides the opportunity to lead the discussion on BI, Analytics and Citizen Data Science with our partners and innovate and experiment on how we can deliver better outcomes for data users, including how we use the data and tooling.

In this role, you’ll:

Partner with consumers of our data and reporting  and work with them to map our journey to the cloud for self-service BI, analytics, and advanced analytics/data science

Provide in-depth knowledge and expertise to design and shape reports and models as required

Prioritise work based on business outcomes and value, and help to rationalise and streamline our reporting landscape

Collaborate with the platforms  to establish use cases, outcomes, EPICs and features that deliver the data solutions to meet the demands of our consumers

Collaborate with central and governance teams to ensure adoption of standard frameworks and toolsets, and ensure proper management and use of data

Lead team through the changing landscape as we make enhancements to our infrastructure and  drive a growth mindset across our ways of working.

Be part of the data enablement and leadership team, taking on projects and presentations when requested and be part of our journey!

Why Lloyds Banking Group

Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We’re growing with purpose. Join us on our journey and you will too

What you'll need:

Strong people  management skills

Experience of using data to develop user-facing products, both for colleagues and our clients. Their need is for products that display data in simple ways that aid business decisions and satisfy reporting requirements.

In-depth BI, Analytics and Data Science

Knowledge of dimensional modelling /optimising of data for end-user consumption

Report writing (with PowerBI and/or Tableau)

Advanced data analysis

About working for us

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. 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. And it’s why we especially welcome applications from under-represented groups. We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know

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

Ready to start growing with purpose? Apply today

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

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.