Data Delivery Lead

Automobile Association
Basingstoke
1 week ago
Create job alert

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

Related Jobs

View all jobs

Senior Data Analyst

Data Analyst - Market Research Consultancy

Data Analyst - Market Research Consultancy

Managing Consultant - AI Business Solution Lead

Principal Data Engineer

Data Acquisition Lead

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.