At a Glance
- Tasks: Lead AI transformation initiatives and develop strategies for diverse 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 strong experience in enterprise-level AI strategies required.
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.
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).
Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI 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 a Senior Manager in AI & Data 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 the infrastructure sector. Join us to be part of a globally connected team dedicated to building 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 Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data space, especially those who work at EY or similar firms. A friendly chat can open doors and give you insider info on what they're looking for.
✨Tip Number 2
Prepare for interviews by diving deep into the latest trends in AI and data strategies. Be ready to discuss how you can bring value to their projects, especially in the infrastructure sector. Show them you’re not just a candidate, but a thought leader!
✨Tip Number 3
Practice your presentation skills! You might need to explain complex AI concepts to non-technical stakeholders. Make sure you can break it down simply and effectively – that’s a key skill they’ll be looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace 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 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 teams and influence stakeholders, so be sure to include examples of your 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: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 Stuff
Make sure you brush up on the latest trends in AI and data, especially as they relate to the infrastructure sector. Be ready to discuss how these technologies can drive business value and operational efficiency.
✨Showcase Your Strategic Thinking
Prepare examples of how you've translated complex technical concepts into business strategies. Think about specific projects where your strategic insights led to successful outcomes, and be ready to share these during the interview.
✨Engage with Stakeholders
Demonstrate your experience in leading workshops and influencing senior stakeholders. Have a few anecdotes ready that highlight your ability to align diverse groups around a unified vision for AI initiatives.
✨Emphasise Ethical AI Practices
Be prepared to discuss how you ensure compliance with ethical AI principles and regulatory requirements. This is crucial for the role, so having a solid understanding of frameworks like GDPR will set you apart.
