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For Companies At a Glance
- Tasks: Lead technology audits focusing on engineering platforms, AI systems, and agile change.
- Company: Join one of the UK's largest banks driving digital transformation.
- Benefits: Enjoy hybrid work options and be part of a billion-pound tech investment.
- Why this job: Shape the future of tech governance while ensuring innovation meets ethical standards.
- Qualifications: Strong experience in cloud platforms, AI/ML systems, or modern engineering pipelines required.
- Other info: Opportunity to coach talent and influence major tech decisions.
The predicted salary is between 54000 - 84000 ÂŁ per year.
Portfolio Lead – Platforms, Engineering & AI Assurance (Senior Audit Manager)
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.
Location: Edinburgh (Hybrid: 2+ days/week in office)
Rethinking Your Next Move in Engineering or AI?
What if you could take your deep knowledge of cloud platforms, AI/ML systems or DevOps—and use it to guide one of the UK’s largest banks through safer, smarter digital transformation?
This is a high-impact leadership opportunity for someone who’s lived and breathed platform engineering, agile delivery or AI implementation. Now, you’ll step into a role that leverages all of that experience to help shape how we govern and assure the tech that powers over 25 million customer relationships
Whether you’ve worked in start-ups, scaled digital platforms or embedded AI in production systems—this role invites you to “flip the lens”: to challenge how things are built, uncover hidden risk, and influence change from inside
About the Opportunity:
As Portfolio Lead – Platforms & Engineering, you’ll oversee a significant slice of the technology audit plan. Think: cloud migrations, AI/ML deployments, DevSecOps pipelines and modern software engineering practices
But this isn’t about ticking audit boxes—it’s about ensuring robust, forward-looking controls are in place as the business evolves
You’ll lead a team of technical auditors, work closely with senior stakeholders across technology and risk, and help embed assurance earlier in the delivery lifecycle. You’ll also shape how they assess emerging technologies—from cloud-native services to generative AI
What You’ll Be Doing
- Oversee delivery of a wide-ranging technology audit portfolio—focused on engineering platforms, agile change, and AI systems
- Act as relationship lead with senior engineering and transformation stakeholders—ensuring risks are understood and addressed proactively
- Guide and quality-check audit scoping, delivery, and reporting across multiple engagements.
- Stay hands-on with strategic and complex audits—especially where emerging tech or AI governance is in scope
- Champion automation, data-driven testing and innovative assurance practices across your team
- Use your AI/ML or cloud expertise to offer credible challenge, surface blind spots, and shape how risk is managed during transformation
- Coach and grow talent—sharing technical insight and helping others develop a builder’s mindset in audit
- Contribute to long-term audit planning, bringing an external perspective on tech trends and disruption
What We’re Looking For
- Strong experience delivering, governing or assuring cloud platforms, AI/ML systems, or modern engineering pipelines
- Understanding of AI risks in real-world settings—such as data drift, model explainability, or governance challenges
- Background in DevOps, platform engineering, transformation delivery or technology risk.
- Ability to cut through complexity and provide clear, risk-aware insight
- Excellent relationship skills—confident advising senior stakeholders and holding the line where needed
- Previous audit or risk experience is helpful but not essential. We welcome people who bring real-world tech delivery experience and a passion for doing things better
Bonus Points If You Also Bring:
- Formal certification in cloud (AWS, GCP, Azure) or AI/ML (e.g. Google ML certs)
- Experience with agile or scaled agile delivery models
- Familiarity with controls-by-design, engineering governance, or responsible AI frameworks
- Prior experience in Internal Audit, Risk, or regulated industries like banking or insurance
Why Make the Move?
This role is a strategic seat at the table. You’ll help guide one of the UK’s most significant digital transformations—ensuring that innovation doesn’t come at the expense of resilience, trust or ethics.
This firm is investing billions in tech, data and AI—and we need experienced voices who can challenge, shape and support that journey from the inside
#AI #generativeAI
Senior Manager - Engineering & AI Assurance employer: Change Recruitment
Contact Detail:
Change Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager - Engineering & AI Assurance
✨Tip Number 1
Familiarise yourself with the latest trends in cloud platforms and AI/ML systems. Being well-versed in these areas will not only help you understand the role better but also allow you to engage in meaningful conversations with stakeholders during interviews.
✨Tip Number 2
Network with professionals in the engineering and AI assurance fields. Attend industry events or webinars to connect with people who work in similar roles, as they can provide insights and potentially refer you to opportunities within their organisations.
✨Tip Number 3
Prepare to discuss your experience with risk management and how you've navigated challenges in tech delivery. Highlight specific examples where you've influenced change or improved processes, as this will demonstrate your capability to handle the responsibilities of the role.
✨Tip Number 4
Showcase your leadership skills by discussing any mentoring or coaching experiences you've had. This is particularly important for a senior role, as the ability to grow talent and foster a builder's mindset will be key to your success in the position.
We think you need these skills to ace Senior Manager - Engineering & AI Assurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud platforms, AI/ML systems, and modern engineering practices. Use specific examples that demonstrate your leadership in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job description. Emphasise your understanding of AI risks and your ability to provide clear, risk-aware insights to senior stakeholders.
Highlight Relevant Experience: In your application, focus on your previous roles that involved technology audit, risk management, or transformation delivery. Mention any formal certifications in cloud or AI/ML that you possess.
Showcase Your Leadership Skills: Demonstrate your ability to coach and grow talent within your application. Provide examples of how you've influenced change and shaped governance in past roles.
How to prepare for a job interview at Change Recruitment
✨Showcase Your Technical Expertise
Make sure to highlight your experience with cloud platforms, AI/ML systems, and modern engineering practices. Be prepared to discuss specific projects where you've successfully implemented these technologies and how they relate to the role.
✨Demonstrate Leadership Skills
As a Senior Manager, you'll need to show that you can lead a team effectively. Share examples of how you've coached and developed talent in previous roles, and how you’ve influenced change within an organisation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world challenges in AI governance and risk management. Think about past experiences where you identified risks or improved processes, and be ready to discuss them in detail.
✨Engage with Stakeholders
Since this role involves working closely with senior stakeholders, practice articulating your ideas clearly and confidently. Prepare to discuss how you would build relationships and communicate complex technical concepts to non-technical audiences.
