At a Glance
- Tasks: Lead AI transformation initiatives and develop strategies for clients in the infrastructure sector.
- Company: Join EY, a global leader in consulting and technology solutions.
- Benefits: Competitive salary, professional development, and a chance to shape the future with AI.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact by guiding organisations towards becoming AI-first enterprises.
- Qualifications: STEM degree and experience in delivering enterprise-level AI strategies.
The predicted salary is between 70000 - 90000 £ per year.
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.
- 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 an equivalent certification in Computer Science, Data Science, Engineering, or related field.
- 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.
- 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 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.
Preferred Qualification
- Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies).
AI & Data Strategy Lead for Infrastructure in Manchester employer: Ernst & Young Advisory Services Sdn Bhd
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As an AI & Data Strategy Lead based in Manchester, you will benefit from unparalleled opportunities for professional growth, mentorship from industry leaders, and the chance to work on transformative projects that shape the future of infrastructure. Join us in our mission to build a better working world, where your contributions are valued and your career aspirations can flourish.
Contact Details:
Ernst & Young Advisory Services Sdn Bhd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Strategy Lead for Infrastructure in Manchester
✨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 at EY.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your past projects and achievements in AI and data strategy. This will give potential employers a taste of what you can bring to the table, especially when it comes to transforming organisations into AI-first enterprises.
✨Tip Number 3
Prepare for interviews by diving deep into EY's values and recent projects. Tailor your responses to show how your experience aligns with their mission of building a better working world. Remember, they want to see how you can contribute to their vision!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings, including those for AI & Data Strategy roles, right there.
We think you need these skills to ace AI & Data Strategy Lead for Infrastructure in Manchester
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 strategy, especially in the infrastructure sector. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Soft Skills:This role is all about collaboration and communication, so be sure to include examples of your team leadership and stakeholder management skills. We love seeing how you can influence and align diverse groups around a unified vision.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain complex concepts, as we want to see how well you can translate technical jargon into business value.
Apply Through Our Website:Don’t forget 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 Inside Out
Make sure you’re well-versed in the latest AI and data trends, especially those relevant to the infrastructure sector. Brush up on your knowledge of generative AI, predictive analytics, and data governance frameworks. This will help you confidently discuss how these technologies can drive business value during your interview.
✨Prepare Real-World Examples
Think of specific instances where you've successfully led AI transformation initiatives or developed data strategies. Be ready to share these examples, focusing on the impact they had on revenue growth or operational efficiency. This will demonstrate your hands-on experience and strategic thinking.
✨Master Stakeholder Management
Since this role involves influencing senior stakeholders, practice articulating complex AI concepts in simple terms. Prepare to discuss how you’ve previously aligned diverse groups around a unified vision. This will show your ability to communicate effectively and manage relationships.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to lead teams and mentor others. Be prepared to talk about your leadership style and how you’ve coached team members in the past. Highlight any experiences where you’ve facilitated workshops or design sessions, as this will illustrate your capability to guide cross-functional teams.
