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For Companies At a Glance
- Tasks: Lead technology audits focusing on engineering platforms, AI systems, and agile change.
- Company: Join a leading firm driving digital transformation for over 25 million customers.
- Benefits: Enjoy a strategic role with significant investment in tech and AI, plus opportunities for growth.
- Why this job: Shape the future of tech governance while championing innovation and resilience.
- Qualifications: Experience in cloud platforms, AI/ML systems, and strong relationship skills are essential.
- Other info: This is a high-impact leadership role with a focus on ethical tech practices.
The predicted salary is between 72000 - 108000 ÂŁ per year.
About the Company
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 this business governs and assures the tech that powers over 25 million customer relationships.
About the Role
As Portfolio Lead/Senior Manager – 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.
Responsibilities
- 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.
Qualifications
- 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.
Required Skills
- 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.
Preferred Skills
- 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.
Pay range and compensation package
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 (over £3 billion) in tech, data and AI and they need experienced voices who can challenge, shape and support that journey from the inside.
Senior Manager - Engineering & AI Assurance (Edinburgh) 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 (Edinburgh)
✨Tip Number 1
Network with professionals in the engineering and AI assurance fields. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into the company culture and expectations.
✨Tip Number 2
Familiarise yourself with the specific technologies and frameworks mentioned in the job description, such as cloud platforms and AI governance. Being able to discuss these topics confidently during interviews will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully managed teams or projects. Highlight your ability to coach others and drive innovation, as this is a key aspect of the role.
✨Tip Number 4
Research the company's recent projects and initiatives related to digital transformation and AI. Being knowledgeable about their current challenges and successes will allow you to tailor your discussions and show how you can contribute to their goals.
We think you need these skills to ace Senior Manager - Engineering & AI Assurance (Edinburgh)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in platform engineering, AI implementation, and agile delivery. Use specific examples that demonstrate your ability to oversee technology audits and manage risks effectively.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and innovation. Discuss how your background aligns with the responsibilities of the role, particularly in relation to cloud migrations and AI governance.
Highlight Relevant Certifications: Clearly list any formal certifications you hold in cloud platforms (AWS, GCP, Azure) or AI/ML. This will strengthen your application and show that you have the necessary qualifications for the role.
Showcase Relationship Management Skills: Provide examples of how you've successfully advised senior stakeholders in previous roles. Highlight your ability to communicate complex technical concepts clearly and your experience in managing relationships within a team.
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 implemented these technologies and the impact they had on the organisation.
✨Demonstrate Relationship Management Skills
Since this role involves acting as a relationship lead with senior stakeholders, practice articulating how you've successfully managed relationships in previous roles. Share examples of how you’ve navigated complex discussions and ensured risks were addressed proactively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world challenges related to AI risks, data governance, and technology audits. Think through scenarios where you had to cut through complexity and provide clear, risk-aware insights.
✨Emphasise Your Coaching Abilities
This role involves coaching and growing talent within the team. Be ready to discuss your approach to mentoring others, sharing technical insights, and fostering a builder’s mindset in audit. Highlight any past experiences where you've successfully developed team members.
