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 the UK.
- 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 60000 - 80000 £ per year.
Location: London, Anywhere in Country
Salary: Competitive
Date: 7 May 2026
Position Overview
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.
Your client impact
- 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 leading of cross‑functional workshops and design sessions with senior stakeholders to align diverse groups around a unified AI vision
- Present complex AI/agentic concepts and recommendations to senior leadership audiences
- Support 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)
Essential Criteria
- Strong experience 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 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 frameworks
- 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 managing teams, including internal staff, clients and wider stakeholders
- Experience delivering presentations to senior audiences
- Skills and experience in Portfolio, Programme and Project Management
(INV) Manager, AI and Data Strategist - Infrastructure, TC, UKI in London employer: hackajob
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 continuous learning opportunities and a culture that values diverse perspectives, ensuring that you can thrive while making a meaningful impact on clients across the infrastructure sector. Join us to be part of a forward-thinking team dedicated to driving AI transformation and shaping the future of enterprise solutions.
StudySmarter Expert Advice🤫
We think this is how you could land (INV) 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
Showcase your expertise! Create a portfolio that highlights your past projects and achievements in AI and data strategy. This will not only impress potential employers but also give them a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on current trends in AI and data. Be ready to discuss how these trends can impact the infrastructure sector. We want to see you confidently articulate your thoughts and ideas!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that dream role!
We think you need these skills to ace (INV) 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 for the Manager, AI and Data Strategist role. Highlight your experience in AI strategies and how it aligns with our needs in the infrastructure sector. We want to see how you can bring value to our team!
Showcase Your Skills:Don’t just list your qualifications; demonstrate them! Use specific examples from your past work that showcase your expertise in AI, data governance, and strategic thinking. We love seeing how you've made an impact in previous roles.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point while still showcasing your personality.
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at hackajob
✨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 specific use cases that could drive revenue growth and operational efficiency.
✨Tailor Your Strategy
Prepare to talk about how you would define comprehensive AI and data strategies for different client organisations. Think about the unique challenges they face and how your experience can help them become AI-first enterprises. Bring examples of past successes to the table!
✨Communicate Like a Pro
Your ability to present complex concepts clearly is crucial. Practice explaining technical ideas in simple terms, as you'll need to communicate with senior stakeholders who may not have a technical background. Use storytelling techniques to make your points more engaging.
✨Show Your Leadership Skills
Be prepared to discuss your experience in leading cross-functional teams and workshops. Highlight your stakeholder management skills and how you've influenced decision-making in the past. They’ll want to see that you can align diverse groups around a unified AI vision.
