At a Glance
- Tasks: Lead AI and data strategies to transform infrastructure for clients.
- Company: Join a leading consultancy shaping the future of AI in infrastructure.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and innovation.
- Why this job: Make a real impact by driving AI transformation in diverse sectors.
- Qualifications: STEM degree and experience in enterprise-level AI strategies required.
The predicted salary is between 70000 - 90000 £ per year.
Location: London
We are seeking an experienced AI and Data infrastructure Strategy Manager to help shape and deliver enterprise‑wide AI transformation initiatives for clients across the infrastructure sector. This role requires a strategic business technologist who can translate AI, data and automation capabilities into tangible business value while designing the organisational frameworks needed to become an AI‑first enterprise.
Responsibilities
- Define comprehensive AI, data and automation strategies tailored to client organisations across infrastructure sectors.
- Communicate current global thinking and trends in the AI, Automation and Data space including within EY.
- Conduct in‑depth analysis of industry‑specific value chain and identify a portfolio of high‑impact AI, data and automation use cases, to drive revenue growth, operational efficiency, and competitive differentiation.
- Assess organisational AI and data landscape maturity and create tailored roadmaps for transformation including operating models, organisational structure and capabilities required to deliver the strategy.
- Contribute to the development of high‑level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation).
- Support in the leading of cross‑functional workshops and design sessions with senior stakeholders to align diverse stakeholder groups around a unified AI vision.
- Present complex AI/agentic concepts and recommendations to senior leadership audiences.
- Support the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness.
- Contribute to solution development of high‑impact bid responses and proposals for AI‑led transformation.
- Drive change management initiatives to embed AI‑driven and automation‑enabled culture across client organisations; ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks.
Essential Qualifications
- STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field.
- Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies).
- Strong experience of delivering enterprise‑level AI strategies for complex or multinational organisations.
- Expertise and interest in the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution.
- Experience in designing operating models and organisational structures for data and AI functions.
- Experience of working with client organisations to write business or investment cases.
- Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation.
- Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA.
- Knowledge of AI governance frameworks, model risk management, and regulatory requirements.
- Strategic thinking with demonstrated ability to translate complex technical concepts into business language.
Soft Skills
- Team leadership and coaching skills.
- Proven communication, storytelling and presentation skills.
- Proven stakeholder management skills with excellent facilitation and workshop design capabilities, including ability to influence senior stakeholders.
- Proven ability to collaborate in multi‑disciplinary teams (data scientists, engineers, business strategists).
- Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment.
- Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value.
Preferred Criteria
- Experience with Big 4 consulting methodologies and framework.
- Knowledge of sustainability and climate change challenges across industries.
- Knowledge of one or more of the following sectors: Energy, Government, Transport, Power and Utilities, Telco and Media.
- Experience working in industry, government or a management consultancy environment.
- Ability to analyse data and deliver insightful, practical solutions.
- Experience of managing teams, including internal staff, clients and wider stakeholders.
- Experience of delivering presentations to senior audiences.
- Skills and experience in Portfolio, Programme and Project Management.
Manager, AI and Data Strategist - Infrastructure, TC, UKI in London employer: Ernst & Young Advisory Services Sdn Bhd
As a leading employer in the AI and data strategy space, we offer a dynamic work environment in London that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored training programmes and opportunities to engage with cutting-edge technologies, ensuring you stay at the forefront of the industry. Join us to be part of a culture that values diversity, ethical practices, and impactful transformation across the infrastructure sector.
Contact Details:
Ernst & Young Advisory Services Sdn Bhd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Manager, AI and Data Strategist - Infrastructure, TC, UKI in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and data space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your expertise! Create a portfolio that highlights your past projects and successes in AI and data strategy. This is your chance to demonstrate how you've turned complex concepts into real business value. Share it on LinkedIn or your personal website to catch the eye of recruiters.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s AI initiatives. Research their current projects and think about how your experience aligns with their goals. Bring fresh ideas to the table during interviews to show you're not just a fit, but a game-changer!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, applying directly can sometimes give you a leg up in the hiring process. So, get your application in and let’s make some AI magic happen!
We think you need these skills to ace Manager, AI and Data Strategist - Infrastructure, TC, UKI in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI and data strategies. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!
Showcase Your Soft Skills:This role is all about collaboration and communication. We’re looking for someone who can lead workshops and influence stakeholders, so be sure to include examples of your team leadership and presentation skills in your application.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the job. We appreciate a well-structured application that gets straight to the point!
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’s super easy to do!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your AI and Data Stuff
Make sure you brush up on the latest trends in AI, data, and automation. Be ready to discuss how these technologies can create real business value, especially in the infrastructure sector. Familiarise yourself with current global thinking and be prepared to share your insights.
✨Tailor Your Strategies
Understand the specific needs of the organisation you're interviewing with. Think about how you can define comprehensive AI and data strategies that align with their goals. Bring examples of how you've done this in the past to showcase your experience.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You’ll likely need to present ideas to senior leadership, so being able to tell a compelling story is key. Use clear examples to illustrate your points and show how they drive business value.
✨Show Your Leadership Skills
Be ready to discuss your experience in leading cross-functional teams and workshops. Highlight your ability to influence stakeholders and align diverse groups around a unified vision. Share specific instances where your leadership made a difference in project outcomes.
