At a Glance
- Tasks: Lead AI and data strategies to transform infrastructure sectors and drive business value.
- Company: Join EY, a global leader in consulting and technology innovation.
- Benefits: Competitive salary, diverse teams, and opportunities for career growth.
- Other info: Collaborative environment with a focus on continuous learning and ethical AI practices.
- Why this job: Shape the future with AI and make a real impact on global industries.
- Qualifications: STEM degree and experience in enterprise-level AI strategies required.
The predicted salary is between 80000 - 100000 £ 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 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 in the leading of cross-functional workshops and design sessions with senior stakeholders to align diverse stakeholder groups around a unified AI vision.
- Present complex AI/agentic concepts and recommendations to senior leadership audiences.
- Support the 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 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.
- 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 framework.
- 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 of managing teams, including internal staff, clients and wider stakeholders.
- Experience of delivering presentations to senior audiences.
- Skills and experience in Portfolio, Programme and Project Management.
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Strategic AI & Data Infrastructure Leader employer: WeAreTechWomen
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Strategic AI & Data Infrastructure Leader, you will have access to unparalleled growth opportunities, working alongside diverse teams in a globally connected environment. Our commitment to innovation and ethical practices ensures that you will be at the forefront of shaping transformative AI strategies while contributing to a better working world.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic AI & Data Infrastructure Leader
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at EY or similar firms. Attend events, webinars, and workshops to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by researching EY's recent projects and initiatives in AI and data infrastructure. This will help you speak their language and show that you're genuinely interested in what they do.
✨Tip Number 3
Practice your storytelling skills. Be ready to share specific examples of how you've successfully implemented AI strategies or led teams in the past. This will demonstrate your expertise and fit for the role.
✨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 serious about joining the team at EY.
We think you need these skills to ace Strategic AI & Data Infrastructure Leader
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 infrastructure. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!
Showcase Your Strategic Thinking:In your application, emphasise your ability to translate complex technical concepts into business value. We’re looking for someone who can think strategically, so share examples of how you've done this in past roles.
Highlight Your Communication Skills:Since this role involves presenting to senior stakeholders, make sure to demonstrate your communication prowess. Use clear, concise language in your application to reflect your storytelling and presentation skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at WeAreTechWomen
✨Know Your AI and Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI, data, and automation. Brush up on your knowledge of generative AI, predictive analytics, and data governance frameworks. Being able to discuss these topics confidently will show that you’re not just familiar with the concepts but can also translate them into business value.
✨Tailor Your Examples to the Infrastructure Sector
When preparing for your interview, think about specific examples from your past experience that relate directly to the infrastructure sector. Highlight how you've successfully implemented AI strategies or designed organisational structures that drove operational efficiency. This will demonstrate your understanding of the industry and your ability to deliver results.
✨Practice Your Storytelling Skills
You’ll need to present complex ideas to senior stakeholders, so practice telling your story in a clear and engaging way. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you convey your experiences effectively and keep your audience engaged.
✨Show Your Collaborative Spirit
This role requires working with multi-disciplinary teams, so be ready to discuss how you’ve successfully collaborated with others in the past. Share examples of how you’ve influenced stakeholders or led workshops. Emphasising your teamwork and facilitation skills will highlight your fit for the role.
