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For Companies At a Glance
- Tasks: Lead AI transformation initiatives and develop data strategies for diverse clients.
- Company: Join EY, a global leader in shaping the future of work.
- Benefits: Competitive salary, career growth, and a supportive team environment.
- Other info: Collaborative culture with opportunities for continuous learning and mentorship.
- Why this job: Make a real impact by driving AI innovation across various sectors.
- Qualifications: STEM degree and strong experience in enterprise-level AI strategies.
The predicted salary is between 60000 - 80000 £ per year.
Location: Manchester
Salary: Competitive
Date: 7 May 2026
Requisition ID: 1657225
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Position Overview
We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI‑first enterprise.
Your client impact
- Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors.
- Bring current global thinking and trends in the AI, Automation and Data space including within EY.
- Carry out in-depth analysis of infrastructure‑specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation.
- Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy.
- Direct the definition of high‑level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation).
- Lead cross‑functional workshops and design sessions with senior stakeholders to influence and align diverse stakeholder groups around a unified AI vision.
- Present complex AI concepts and recommendations to senior leadership audiences.
- Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness.
- Contribute to solution development and oversee quality of proposals for AI‑led transformation.
- Provide mentorship and guidance to team members and develop reusable assets.
- Support 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.
- Support internal processes to approve designs and proposals that have integrity and are commercially sound.
Essential Qualifications
- STEM degree or equivalent certification in Computer Science, Data Science, Engineering, or related field.
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 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.
- Communication and presentation skills.
- Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders.
- Demonstrated ability to collaborate in multidisciplinary 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.
Preferred Qualification
- Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies).
(INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester employer: Limelight Health
Contact Detail:
Limelight Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and data space. Attend industry events, join relevant online forums, and don’t be shy about reaching out to people on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your past projects and successes in AI and data strategy. This is your chance to demonstrate how you can bring value to potential employers, especially in sectors like infrastructure.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of current trends in AI and data. Be ready to discuss how you can help organisations become AI-first enterprises. Tailor your responses to show how your experience aligns with their needs.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace (INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Manager, AI & Data role. Highlight your experience in AI strategies and how it aligns with 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 strategies, and stakeholder management. This is your chance to shine, so let us see what you've got!
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 apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Limelight Health
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and data strategies, especially those relevant to the infrastructure sector. Be ready to discuss how these trends can translate into business value for clients.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams or projects in the past. Highlight your experience in guiding cross-functional workshops and influencing senior stakeholders, as this role requires strong leadership and communication skills.
✨Tailor Your Approach
Understand the specific needs of the organisation you're interviewing with. Think about how you can create tailored roadmaps for AI transformation that align with their strategic goals and operational readiness.
✨Be Ready for Ethical Discussions
Familiarise yourself with ethical AI principles and regulatory compliance, such as GDPR. Be prepared to discuss how you would ensure that AI strategies are not only effective but also responsible and compliant.