At a Glance
- Tasks: Lead AI and data strategies for transformative projects in the infrastructure sector.
- Company: Join EY, a global leader in building a better working world.
- Benefits: Competitive salary, diverse teams, and opportunities for career growth.
- Other info: Collaborative environment with a focus on continuous learning and innovation.
- Why this job: Shape the future with cutting-edge AI and data initiatives that drive real impact.
- Qualifications: STEM degree and experience in enterprise-level AI strategies required.
The predicted salary is between 60000 - 80000 € 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.
(INV) Manager, AI and Data Strategist - Infrastructure, TC, UKI in London employer: FP&A
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Manager in AI and Data Strategy, you will benefit from unparalleled professional development opportunities, collaborative teamwork, and the chance to make a significant impact in the infrastructure sector. Our commitment to ethical practices and innovation ensures that you will be at the forefront of shaping a better working world while enjoying a supportive environment that values your growth and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land (INV) Manager, AI and Data Strategist - Infrastructure, TC, UKI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at EY or similar firms. Attend events, webinars, and meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. You want to convey your experience in AI and data strategy clearly and compellingly. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies that highlight your previous work in AI and data strategies. This will give you an edge and demonstrate your ability to deliver tangible business value.
✨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 EY and contributing to building a better working world.
We think you need these skills to ace (INV) Manager, AI and Data Strategist - Infrastructure, TC, UKI 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 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 workshops and influence stakeholders, so be sure to include examples of your teamwork and leadership abilities 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 FP&A
✨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 the specific challenges faced by the UK infrastructure sector. This will help you speak confidently about how these technologies can drive business value.
✨Tailor Your Strategies to the Client
Prepare to discuss how you would define comprehensive AI and data strategies tailored to different client organisations. Think about specific use cases that could drive revenue growth and operational efficiency, and be ready to present these ideas clearly during the interview.
✨Showcase Your Communication Skills
Since this role involves presenting complex concepts to senior leadership, practice your storytelling and presentation skills. Use examples from your past experiences where you successfully communicated technical information to non-technical stakeholders, demonstrating your ability to bridge the gap between technology and business.
✨Demonstrate Your Leadership and Collaboration Abilities
Be prepared to discuss your experience in leading cross-functional teams and workshops. Highlight instances where you influenced senior stakeholders or collaborated with diverse teams, showcasing your team leadership and coaching skills. This will show that you can effectively manage relationships and drive change within client organisations.
