At a Glance
- Tasks: Lead teams in adopting AI and automation for improved engineering delivery.
- Company: Join A&G, part of TechX, a leader in innovative technology solutions.
- Benefits: Enjoy flexible hours, work/life balance initiatives, and wellbeing programmes.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by optimising technology and enhancing productivity.
- Qualifications: Experience in software engineering and knowledge of emerging technologies required.
The predicted salary is between 60000 - 80000 £ per year.
As Technology Optimisation Manager, you will help teams adopt practical, modern engineering approaches and emerging technologies that improve delivery outcomes. You will use your technical experience to explore options, run safe experiments, and support squads, engineering leads and managers to turn good ideas into measurable improvements in productivity, quality and reliability. Working within TechX and partnering closely with the Senior Director, Technology Optimisation, you will operate as a trusted internal advisor. Your focus will include AI and automation, developer productivity, platform and tooling adoption, and the day‑to‑day use of practices such as secure software delivery lifecycle and CI/CD to support continuous improvement.
Responsibilities
- Identify opportunities to improve engineering effectiveness through modern practices, tooling and emerging technologies.
- Advise and coach squads, engineering leads and managers on practical adoption of AI, automation, developer productivity and platform capabilities.
- Partner with teams to understand pain points and remove friction in day‑to‑day delivery.
- Design and run pilots, proofs of concept, workshops and demos to test feasibility, manage risk and demonstrate value.
- Translate trends and learning into clear guidance, reusable approaches and recommendations that teams can apply.
- Support consistent use of secure delivery practices, including SDLC and CI/CD, aligned to enterprise standards.
- Use feedback and data to track impact, define meaningful KPIs and produce optimisation reporting.
- Share outcomes and learning across the TechX network to scale successful patterns.
Qualifications
- Experience in software engineering, architecture, platform engineering, technical enablement or a closely related area.
- Working knowledge of emerging technologies (for example, AI and automation) and how to assess where they add value in real engineering environments.
- Hands‑on experience evaluating, piloting or implementing tools, workflows or practices that improve developer experience, software quality or delivery speed.
- Understanding of modern delivery practices such as secure software delivery lifecycle (SDLC), CI/CD, automation, observability and continuous improvement.
- Ability to influence and coach teams without direct authority, using evidence, collaboration and practical experimentation.
- Strong problem‑solving skills, with confidence turning feedback and data into clear recommendations.
- Clear communication skills, with the ability to explain options and trade‑offs to both technical and non‑technical audiences.
- Experience defining meaningful measures (KPIs) and reporting that support continuous improvement (desirable).
Benefits
- Flexible working hours – flex your working times to fit your most productive periods.
- Healthy work/life balance initiatives, including shared parental leave, study assistance and sabbaticals.
- Wellbeing programmes supporting your immediate and long‑term goals.
Technology Optimisation Lead: AI, Automation & Delivery employer: RELX Group
A&G, STMJ Technology is an exceptional employer that prioritises innovation and employee wellbeing. With a strong focus on flexible working hours and a healthy work/life balance, we empower our team members to thrive both personally and professionally. Our collaborative culture fosters continuous learning and growth, making it an ideal environment for those looking to make a meaningful impact in the field of technology optimisation.
StudySmarter Expert Advice🤫
We think this is how you could land Technology Optimisation Lead: AI, Automation & Delivery
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with AI, automation, and modern engineering practices. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to technology optimisation and delivery. Use real examples from your past experiences to showcase how you’ve made an impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Technology Optimisation Lead: AI, Automation & Delivery
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI, automation, and modern engineering practices. We want to see how your skills align with the role of Technology Optimisation Lead!
Showcase Your Problem-Solving Skills:Use specific examples from your past experiences where you've tackled challenges in software delivery or engineering effectiveness. We love seeing how you’ve turned feedback into actionable improvements!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your communication reflects that, especially when explaining technical concepts.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Don’t miss out!
How to prepare for a job interview at RELX Group
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI, automation, and modern engineering practices. Be ready to discuss how these technologies can improve delivery outcomes and share any relevant experiences you've had in implementing them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified pain points in previous roles and the steps you took to address them. Highlight your ability to turn feedback and data into actionable recommendations, as this will resonate well with the interviewers.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll likely be speaking to both technical and non-technical audiences, so being able to articulate your ideas clearly is crucial for success.
✨Demonstrate Your Coaching Ability
Think of instances where you've influenced or coached teams without direct authority. Be prepared to discuss your approach to collaboration and how you’ve helped others adopt new practices or tools effectively.
