At a Glance
- Tasks: Drive smarter operations and turn data into actionable insights for outstanding customer outcomes.
- Company: Join the AA, a trusted brand providing diverse services to millions.
- Benefits: Enjoy 25 days leave, pension contributions, discounts, and career development opportunities.
- Why this job: Make a real impact by shaping strategies and improving service delivery.
- Qualifications: Experience in Automotive Engineering and strong analytical skills required.
- Other info: Inclusive culture that values diversity and empowers you to be your best.
The predicted salary is between 36000 - 60000 £ per year.
Location: Oldbury – Hybrid - Three Days in Office
Employment Type: Permanent
Hours: Monday-Friday
As an Automotive Operations Manager, you will be the driving force behind smarter, more efficient operations within Dedicated Services. You’ll be the vital link between teams, using data and insight to shape strategies that improve service delivery and resource allocation. Your mission is to turn numbers into action by analysing trends, applying AI and BI solutions, and providing clear, commercially sound recommendations that make a real impact.
This role requires strong relationships and clear communication. We’re looking for someone highly analytical, calm under pressure, and confident working with large datasets across multiple platforms. If you love turning complexity into clarity and driving continuous improvement, this is the role for you.
What will I be doing?
- Spotting new innovations and turning them into opportunities for outstanding customer outcomes.
- Using AI and BI tools to make smart, data-driven recommendations for change.
- Evaluating decisions and sharing clear, actionable insights with stakeholders.
- Communicating confidently across large groups and building strong relationships at every level.
- Becoming the go-to expert for solution design within Dedicated Services.
- Bringing complex data together into a single, easy-to-understand format.
- Creating and delivering management information (MI) reports on time and with impact.
- Developing modelling tools that support informed decision-making.
- Working closely with business partners to optimise labour and resources.
- Playing an active role in shaping and implementing future state designs.
What do I need?
- Proven experience in Automotive Mechanical Engineering – this is essential.
- Strong knowledge of Microsoft applications, including Excel and PowerPoint.
- Ability to create and deliver impactful presentations with confidence.
- Data-driven mindset with experience in developing data-led solutions.
- Experience working in fast-paced, high-volume operational environments, ideally Just-In-Time (JIT).
- Contribution to systemic modelling tools and decision-making frameworks.
- Project management experience – PRINCE2 or similar qualifications are desirable.
- Experience supporting organisational change and transformation initiatives.
- Ability to collaborate with stakeholders and communicate complex information clearly.
- Skilled in consolidating data from multiple sources into clear, unified formats.
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
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.
As part of the onboarding process, we complete several pre-employment checks including work reference, credit and criminal record checks. We may close the vacancy sooner than the advertised date if we get a high volume of applications, please apply now if you are interested.
Automotive Operations Manager - NonVolume in Oldbury employer: The Automobile Association
Contact Detail:
The Automobile Association Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Automotive Operations Manager - NonVolume in Oldbury
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the AA on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into the company’s values and recent projects. Show us that you’re not just another candidate; you’re genuinely interested in how you can contribute to keeping Britain moving!
✨Tip Number 3
Practice your data storytelling skills. You’ll need to explain complex insights clearly, so think about how you can turn numbers into compelling narratives that demonstrate your analytical prowess.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your enthusiasm for the role can leave a lasting impression and keep you top of mind for the hiring team.
We think you need these skills to ace Automotive Operations Manager - NonVolume in Oldbury
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Automotive Operations Manager role. Highlight your experience in automotive mechanical engineering and any relevant data-driven projects you've worked on. We want to see how your skills align with our mission!
Showcase Your Analytical Skills: Since this role is all about turning data into action, be sure to include examples of how you've used data analysis in past roles. Whether it's through AI, BI tools, or just good old Excel, we want to know how you’ve made an impact using numbers.
Communicate Clearly: Strong communication is key in this position. When writing your application, aim for clarity and confidence. Use straightforward language to explain complex ideas, and don’t forget to mention any experience you have presenting to large groups or stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team at The AA!
How to prepare for a job interview at The Automobile Association
✨Know Your Numbers
As an Automotive Operations Manager, you'll be expected to turn data into actionable insights. Brush up on your analytical skills and be prepared to discuss how you've used data in past roles to drive improvements. Bring examples of trends you've spotted and the impact they had.
✨Master Your Presentation Skills
You'll need to communicate complex information clearly, so practice delivering impactful presentations. Use tools like PowerPoint to create engaging visuals that support your points. Consider rehearsing with a friend or in front of a mirror to build confidence.
✨Showcase Your Innovation Mindset
The AA values innovation, so come ready to discuss how you've identified opportunities for improvement in previous roles. Think about specific examples where your ideas led to positive changes, especially in fast-paced environments. Be prepared to share your thought process.
✨Build Relationships
Strong relationships are key in this role. Think about how you've collaborated with stakeholders in the past. Prepare to share examples of how you’ve built rapport and communicated effectively across different levels of an organisation, especially when dealing with complex data.