At a Glance
- Tasks: Drive innovation by optimising engineering practices and adopting emerging technologies like AI.
- Company: Join a global leader in information and analytics, making a real impact on science and healthcare.
- Benefits: Enjoy flexible working hours, wellbeing initiatives, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Be at the forefront of technology, helping teams improve productivity and quality in their work.
- Qualifications: Experience in software engineering and knowledge of modern delivery practices required.
The predicted salary is between 60000 - 80000 £ per year.
Do you thrive from driving innovation? Are you a strategic thinker?
About our Team:
A&G, STMJ Technology builds and improves the products, platforms and capabilities that support our research and academic customers worldwide. TechX is part of this group and helps teams connect strategy to delivery by improving engineering effectiveness, adopting modern practices, and enabling responsible use of emerging technologies (including AI). We work with leaders and delivery teams across the organisation to identify opportunities, share best practice and scale approaches that improve quality, productivity and outcomes.
About the Role
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.
Requirements:
- 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).
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.
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
AI-Driven Engineering Optimisation Lead employer: Elsevier
At Elsevier, we pride ourselves on being an exceptional employer that champions innovation and employee well-being. Our flexible working hours, comprehensive benefits including wellbeing initiatives and study assistance, and a culture that promotes work-life balance make us an attractive choice for those looking to thrive in their careers. Join us in a collaborative environment where your contributions directly impact global challenges in science and healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven Engineering Optimisation Lead
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and engineering optimisation. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills through projects or case studies. If you've worked on relevant tech projects, be ready to discuss them in detail. This is your chance to shine and demonstrate your hands-on experience!
✨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, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace AI-Driven Engineering Optimisation Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in software engineering and emerging technologies. We want to see how your skills align with the role of Technology Optimisation Manager, so don’t hold back on showcasing your relevant achievements!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can turn feedback and data into actionable insights, so share those success stories that demonstrate your problem-solving prowess!
Communicate Clearly:Your written application should reflect your ability to communicate complex ideas simply. Remember, we’re looking for someone who can explain technical concepts to both tech-savvy and non-technical audiences, so keep it clear and concise!
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. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Elsevier
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of emerging technologies, especially AI and automation. Be ready to discuss how these can be applied in real engineering environments. Prepare examples from your past experiences where you've successfully implemented or evaluated such technologies.
✨Showcase Your Problem-Solving Skills
Be prepared to share specific instances where you've tackled challenges in software delivery or engineering practices. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you turned feedback and data into actionable recommendations.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to communicate with both technical and non-technical audiences, so think about how you can break down your ideas effectively. Consider doing mock interviews with friends to refine your communication style.
✨Demonstrate Your Coaching Ability
Since the role involves advising and coaching teams, prepare to discuss how you've influenced others without direct authority. Share examples of how you've collaborated with teams to adopt new practices or tools, and be ready to explain your approach to fostering a culture of continuous improvement.
