Technology Optimisation Manager

Technology Optimisation Manager

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Elsevier

At a Glance

  • Tasks: Drive innovation by optimising technology and improving engineering practices.
  • Company: Join a global leader in information and analytics, making a real impact.
  • Benefits: Flexible working hours, wellbeing initiatives, and study assistance.
  • Other info: Collaborative environment with opportunities for personal and professional growth.
  • Why this job: Be at the forefront of AI and automation, transforming delivery outcomes.
  • Qualifications: Experience in software engineering and knowledge of emerging technologies 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.

Work in a Way That Works for You

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.

Technology Optimisation Manager employer: Elsevier

At Elsevier, we pride ourselves on being an exceptional employer that champions innovation and employee well-being. As a Technology Optimisation Manager, you will thrive in a collaborative environment that values flexible working hours, professional growth opportunities, and a commitment to work-life balance, all while contributing to meaningful advancements in science and healthcare. Our culture fosters continuous improvement and the adoption of cutting-edge technologies, ensuring that your contributions lead to impactful outcomes for society.

Elsevier

Contact Details:

Elsevier Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technology Optimisation Manager

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 technology optimisation. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers.

Tip Number 3

Showcase your passion for emerging technologies! During interviews, share examples of how you've used AI or automation in past projects. This will demonstrate your hands-on experience and enthusiasm.

Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you email can keep you fresh in their minds and show your genuine interest in the role. Plus, it’s a great chance to reiterate why you’re the perfect fit!

We think you need these skills to ace Technology Optimisation Manager

Software Engineering
Architecture
Platform Engineering
Technical Enablement
Emerging Technologies
AI and Automation
Developer Productivity

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 strategic thinking!

Communicate Clearly:When writing your application, keep it clear and concise. Use straightforward language to explain your technical expertise and how you can influence teams without direct authority. Remember, we’re looking for someone who can bridge the gap between technical and non-technical audiences!

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!

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 and share any hands-on experiences you've had with tools or practices that improved delivery outcomes.

Showcase Your Problem-Solving Skills

Prepare examples that highlight your strong problem-solving abilities. Think about times when you turned feedback and data into actionable recommendations, and be ready to explain your thought process clearly to both technical and non-technical audiences.

Demonstrate Your Coaching Ability

Since the role involves influencing and coaching teams, come prepared with examples of how you've successfully guided others without direct authority. Highlight your collaborative approach and any evidence-based strategies you've used to drive change.

Be Ready to Discuss KPIs

Understanding how to define and measure success is crucial. Prepare to talk about meaningful KPIs you've established in previous roles and how you've used them to track impact and support continuous improvement in engineering practices.