At a Glance
- Tasks: Lead AI and data strategy initiatives to transform client organisations across various industries.
- Company: Join EY, a global leader in consulting and technology solutions.
- Benefits: Competitive salary, diverse teams, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI and continuous learning.
- Why this job: Shape the future with AI and make a real impact on businesses worldwide.
- Qualifications: STEM degree and experience in delivering enterprise-level AI strategies.
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.
Position Overview
We are seeking an experienced AI and Data Strategy Manager to help shape and deliver enterprise-wide AI transformation initiatives for clients across multiple industry sectors. 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 consumer products, retail, health, energy, and life sciences 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 in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences.
- 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.
Manager, AI & Data, Data Strategist, TC UKI 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 & Data, you will have access to unparalleled growth opportunities, working alongside diverse teams on transformative projects that shape industries. Our commitment to ethical practices and continuous learning ensures that you will not only contribute to meaningful change but also develop your skills in a globally connected environment.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, AI & Data, Data Strategist, TC UKI
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and data space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your past projects and achievements in AI and data strategy. This is your chance to demonstrate how you've turned complex concepts into real business value. Share it during interviews or on platforms like LinkedIn.
✨Tip Number 3
Prepare for those interviews! Research EY’s current AI initiatives and think about how your experience aligns with their goals. Be ready to discuss specific examples of how you've driven AI transformation in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at EY and contributing to building a better working world.
We think you need these skills to ace Manager, AI & Data, Data Strategist, TC UKI
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI & Data Strategist role. Highlight your experience in delivering enterprise-level AI strategies and how it aligns with EY's mission to build a better working world.
Showcase Your Skills:Don’t just list your qualifications; demonstrate how your skills in AI, data governance, and strategic thinking can add value to EY. Use specific examples from your past experiences to illustrate your expertise.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain complex concepts, as this reflects your ability to communicate effectively with diverse stakeholders, which is key for this role.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people and shows your enthusiasm for joining EY and contributing to our vision of an AI-first enterprise.
How to prepare for a job interview at FP&A
✨Know Your AI and Data Stuff
Make sure you brush up on the latest trends in AI, data, and automation. Be ready to discuss how these technologies can create real business value, especially in sectors like healthcare or retail. Show them you’re not just familiar with the buzzwords but can actually apply them strategically.
✨Tailor Your Approach
Before the interview, research EY’s specific projects and values. Think about how your experience aligns with their mission to build a better working world. Prepare examples of how you've successfully implemented AI strategies in previous roles that could resonate with their goals.
✨Master the Art of Storytelling
You’ll need to present complex ideas clearly, so practice telling your story in a way that’s engaging and easy to understand. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when discussing past projects or challenges.
✨Engage with Stakeholders
Demonstrate your ability to work with diverse teams and influence senior stakeholders. Prepare to discuss how you’ve led workshops or design sessions in the past. Highlight your communication skills and how you’ve aligned different groups around a common vision.
