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 cutting-edge AI solutions and make a real impact.
- 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 in London 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, cutting-edge resources, and a collaborative environment that encourages innovation and professional development. Join us in London, where you can make a meaningful impact while being part of a global network dedicated to building a better working world.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic AI & Data Infrastructure Leader in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at EY or similar firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by diving deep into AI and data trends. Be ready to discuss how you can bring value to their infrastructure projects. Show them you’re not just a candidate, but a strategic partner!
✨Tip Number 3
Practice your storytelling skills. When discussing your experience, frame it in a way that highlights your impact on previous projects. Make it relatable and relevant to the role you're applying 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 take that extra step to connect with us directly.
We think you need these skills to ace Strategic AI & Data Infrastructure Leader in London
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 about AI and data, so share examples of how you've done this in the past.
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 show us you can convey complex ideas effectively.
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’s super easy to do!
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 and data infrastructure. Brush up on key concepts like generative AI, predictive analytics, and data governance frameworks. Being able to discuss these topics confidently will show your expertise and passion for the field.
✨Tailor Your Examples to the Role
When discussing your past experiences, focus on examples that align with the responsibilities of a Strategic AI & Data Infrastructure Leader. Highlight your experience in delivering enterprise-level AI strategies and designing organisational structures. This will demonstrate your ability to translate complex technical concepts into business value.
✨Prepare for Stakeholder Engagement
Since this role involves working with senior stakeholders, practice how you would present complex ideas clearly and persuasively. Think about how you can influence diverse groups and align them around a unified AI vision. Role-playing these scenarios can help you feel more comfortable during the actual interview.
✨Showcase Your Continuous Learning Mindset
The AI landscape is always evolving, so be ready to discuss how you stay updated with new developments. Mention any recent courses, certifications, or industry events you’ve attended. This will highlight your commitment to personal growth and your proactive approach to staying ahead in the field.
