Artificial Intelligence Lead (18 month FTC)

Lloyds Banking Group
Birmingham
1 month ago
Applications closed

Related Jobs

View all jobs

Teacher of Computer Science & Artificial Intelligence Lead

Data Lead - Artificial Intelligence & Automation (12 Month Fixed-Term Contract)

Artificial Intelligence and Data Science Specialist

Geospatial Artificial Intelligence Research Scientist

Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

Artificial Intelligence, Lakenheath, The Undergraduate School - Adjunct Faculty

Description

JOB TITLE: Artificial Intelligence Lead (18 month FTC)

SALARY: £78,098 - £109,060 (dependant on location)

LOCATION(S): London, Birmingham, Bristol, 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

We’re looking for a specialist AI Lead to build and coordinate the transformation of Group Corporate Affairs (GCA) on an 18-month contract. This involves developing, delivering, and embedding agents and workflow automation, driving operational change by reimagining processes and implementing intelligent tools that unlock new ways of working. Accelerate upskilling and adoption to ensure all colleagues are equipped to maximise the value of these innovations and maintain robust governance throughout.

Key Responsibilities

Set Strategic Direction: Define and deliver the AI strategy for GCA in close collaboration with the GCA Leadership Team, covering both adoption (upskilling, embedding AI in workflows, cultural change) and focusing on practical applications of agents, agentic AI, and PowerApps to streamline processes and enhance productivity.

Partner across squads, teams, and Centres of Excellence, working closely with Platform, Operations, and Communications colleagues to design and implement AI-enabled solutions that deliver measurable value. Ensure clear boundaries on technical ownership, with Platform leading sophisticated builds and this role focusing on strategy and adoption.

Establish clear frameworks for collaboration with Digital team (leading LLM optimisation), Brands, Marketing & Experience (BMX), Platform teams, and Chief Data & Analytics Office (CDAO), ensuring Digital team leads on optimisation, while this role drives agent development, workflow transformation, and broader upskilling and adoption.

Champion AI adoption and support skills development, ensuring our people are equipped, engaged, and empowered to use emerging technologies confidently and responsibly.

Drive cultural change, embedding AI into ways of working and fostering an attitude of innovation and continuous improvement. Identify and deliver solutions that address capability gaps in GCA, not just capacity.


What Success Looks Like

A clear, actionable AI strategy aligned to business priorities and regularly reviewed.

Deployment of new AI agents in 2026, each delivering measurable improvements in process efficiency or content quality

Detailed methods for collaboration and hand-offs with Digital, BMX, and other teams, with clear boundaries on channel and content optimisation.

Delivery of specific, measurable improvements in efficiency and workflow automation.

High levels of engagement and capability across Corporate Affairs, with AI embedded in day-to-day operations and creative processes.

GCA recognised, internally and externally, as a leader in responsible, innovative AI adoption and agentic transformation.

What You’ll Be Doing

Optimisation & Continuous Improvement

Find opportunities to optimise processes across GCA teams using AI and automation, applying data-driven insights to inform decisions.

Track and report on adoption, usage, and outcomes, sharing takeaways and guidelines across the division.

Develop a culture of innovation, encouraging experimentation and knowledge sharing.

AI Adoption & Embedding

Lead the design, rollout, and integration of AI tools and solutions across GCA in collaboration with the GCA Leadership Team, acting as a strategic partner and facilitator when solutions require build support from Platform teams. For complex projects, collaborate directly with Platform teams to ensure alignment, prioritisation, and successful and timely delivery

Identify colleague adoption barriers and develop targeted interventions to drive uptake and engagement.

Define impact metrics and benchmarks, iterating approaches to maximise value and impact.

Education & Upskilling

Ensure delivery of engaging education programmes, masterclasses, and resources to build AI literacy and confidence at all levels.

Act as a visible advocate for AI, demystifying new technologies and showcasing practical use cases.

Partner with HR and Learning & Development to embed AI skills into core capability frameworks.

Change Management & Stakeholder Engagement

Work closely with senior leaders, business partners, and technical teams to align AI initiatives with business priorities.

Facilitate workshops and forums to capture insights, address concerns, and build consensus.

Intersect with CDAO, AI Centre of Excellence and Platform teams to stay connected to central strategy and governance.

Develop compelling strategies, communications and storytelling to bring the AI journey to life across the GCA function and broader Group.

External Insight & Thought Leadership

Stay abreast of market trends and external standard methodology, bringing fresh ideas into the organisation.

Represent GCA at relevant forums and networks, internally and externally, sharing our story and learning from others.

Why Lloyds Banking Group

We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you

Skills & Experience:

Proven experience driving technology adoption and change in a complex, matrixed environment.

Deep understanding of AI technologies and agent/automation solutions (e.g. chatbots, predictive analytics, SharePoint, Power Apps, agentic AI) and their practical application in communications or corporate functions.

Strong background in designing and delivering tailored education or upskilling programmes for communications.

Excellent collaboration and influencing skills, with the ability to engage across various organizational tiers.

Analytical approach, comfortable using data to guide decisions and measure impact.

Creative and curious problem solver, able to translate technical concepts into accessible, actionable insights.

Experience in communications, is highly desirable.

We also offer a multifaceted 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

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.