At a Glance
- Tasks: Lead AI transformation initiatives and develop data strategies for diverse clients.
- Company: Join EY, a global leader in consulting and technology innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on ethical AI and continuous learning.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: STEM degree and strong experience in enterprise-level AI strategies required.
The predicted salary is between 70000 - 90000 £ per year.
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.
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 an equivalent certification in Computer Science, Data Science, Engineering, or related field.
Essential Criteria:
- 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 employer: EY Studio+ Nederland
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With a strong focus on professional development, we offer extensive training and mentorship opportunities, ensuring that our team members are equipped to lead in the rapidly evolving AI landscape. Located in vibrant cities like Manchester and London, our offices provide a collaborative environment where innovative ideas flourish, making EY an exceptional employer for those looking to make a meaningful impact in the world of AI and data.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI
✨Tip Number 1
Network like a pro! Reach out to connections in the AI and data space, especially those at EY. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your expertise! Prepare to discuss your experience with AI strategies and how you've driven business value. Be ready to share specific examples that highlight your skills.
✨Tip Number 3
Practice makes perfect! Set up mock interviews with friends or mentors to refine your communication and presentation skills. The more comfortable you are, the better you'll perform.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the EY team.
We think you need these skills to ace Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI
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 EY's mission to build a better working world.
Showcase Your Expertise:Don’t hold back on showcasing your knowledge of AI/ML technologies and the UK Infrastructure sector. We want to see how you can translate complex concepts into business value, so give us examples!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your achievements and how they relate to the role. We appreciate clarity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at EY Studio+ Nederland
✨Know Your AI 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, as this will be key in your role.
✨Showcase Your Strategic Thinking
Prepare examples of how you've translated complex technical concepts into business language in previous roles. This will demonstrate your ability to align AI initiatives with organisational goals, which is crucial for a Senior Manager position.
✨Engage with Stakeholders
Think about how you would lead cross-functional workshops and influence diverse stakeholder groups. Be ready to share your experiences in managing stakeholder relationships and how you’ve aligned teams around a unified vision.
✨Prepare for Ethical Discussions
Familiarise yourself with ethical AI principles and regulatory requirements like GDPR. Be prepared to discuss how you would ensure that AI strategies are not only effective but also compliant and responsible.
