Data Delivery Lead

Automobile Association
Basingstoke
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

ERP Data Analyst

Head of Data Science, AI & Advanced Analytics Strategy

Head of Data Engineering – Azure Lakehouse Lead

Data Engineer (MS Fabric)

Data Engineer (SC Cleared)

Location: Basingstoke (hybrid working 2 office days per week)

Employment Type: Permanent, full time

Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance

Are you passionate about data and eager to make a significant impact? The AA is a well-loved brand with a range of driver services much wider than most people realise. We have an enviable set of data assets from breakdown, service, repair, insurance, telematics, digital interactions, car dealers, and driving school!

If that’s not enough, we’re focused on making Data our new Superpower as one of only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues, and shareholders.

#LI-DW1 #LI-Hybrid

This is the job

We are seeking a talented Data Delivery Lead to help us achieve our goals. We are in an exciting phase of transformation, reshaping our ways of working and welcoming new talent to ensure success and excellence in all we do. As the Data Delivery Lead within Data & Analytics, you will create a dynamic, innovative, and professional working environment. You will lead the Data Delivery team, which is responsible for driving key business outcomes and delivering the data scope crucial to strategic projects. This role involves forming and managing a high-performing team of Data Delivery Managers, setting the standard by promoting best practices, project governance, and controls.

If you are passionate about data and ready to lead a team to new heights, we would love to hear from you! This role offers an exciting and transformative work environment, opportunities for professional growth and development, and a chance to make a significant impact on our strategic goals.

What will I be doing?

  • Lead the Data Delivery team within Data & Analytics, fostering a dynamic, innovative, and professional working environment.
  • Drive key business outcomes by delivering the data scope crucial to strategic projects.
  • Form and manage a high-performing team of Data Delivery Managers.
  • Promote best practices in project governance and controls.
  • Ensure success and excellence in all data-related initiatives.
  • Contribute to an exciting and transformative work environment with opportunities for professional growth and development.

What do I need?

  • Proven experience in leading a Delivery/Project Management team, with familiarity in various methodologies (e.g., Agile, Waterfall).
  • Comprehensive understanding of the data domain, including governance, architecture, modelling, engineering, delivery, and quality.
  • Superior communication and influencing skills, with proficiency in facilitating workshops and achieving consensus.
  • Strong project management skills, including time management, risk management, and the use of tools like Jira.
  • Degree in a relevant field or equivalent professional experience, with beneficial but not essential Project Management qualifications (Prince2, Agile).
  • Excellent leadership, negotiation, and networking abilities, with a sensitivity to the impact of change and a commercially astute mindset.

Additional information

We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:

  • 25 days annual leave plus bank holidays + holiday buying scheme
  • Worksave pension scheme with up to 7% employer contribution
  • Free AA breakdown membership from Day 1 plus 50% discount for family and friends
  • Discounts on AA products including car and home insurance
  • Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
  • Company funded life assurance
  • Diverse learning and development opportunities to support you to progress in your career
  • Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

#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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.