At a Glance
- Tasks: Shape and deliver AI transformation initiatives for clients in various industries.
- Company: Join a leading consultancy with a focus on innovation and collaboration.
- Benefits: Continuous learning, flexible work options, and transformative leadership opportunities.
- Other info: Diverse culture that values your unique voice and perspective.
- Why this job: Make a real impact by driving AI strategies that transform businesses.
- Qualifications: STEM degree and experience in enterprise-level AI strategies required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced AI and Data Strategy Senior Consultant to help shape and deliver enterprise-wide AI transformation initiatives for clients across the infrastructure industry. This role requires a strategic business technologist who can operate as part of a team to 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
- Help define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy and life sciences sectors.
- Support 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.
- Help assess organisational AI and data landscape maturity and create tailored roadmaps for transformation in areas such as 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 EY project leadership in cross-functional workshops and design sessions with senior stakeholders as they seek to align diverse stakeholder groups around a unified AI vision.
- Help create content to articulate complex AI/agentic concepts and recommendations to senior leadership audiences.
- Conduct analysis that inputs to 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.
Essential Qualifications
- STEM degree or an equivalent certification in Computer Science, Data Science, Engineering or a related field.
Essential Criteria
- Experience contributing to enterprise-level AI strategies for complex or multinational organisations.
- Familiarity with the design of operating models and organisational structures for data and AI functions.
- Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and intelligent automation.
- Familiarity with AI governance frameworks, model risk management and regulatory requirements.
Soft Skills
- Communication, storytelling and presentation skills.
- Experience of facilitation and workshop design including ability to influence senior stakeholders.
- Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists).
- Continuous learning mindset to stay ahead of the rapidly evolving AI landscape and strategies for deployment.
- Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value.
Preferred Criteria
- Familiarity with modern data governance frameworks and architectures, cloud platforms and AI infrastructure including DAMA.
- Experience with Big 4 consulting methodologies and framework.
- Experience in one of the following domains and/or sectors: Finance, Supply Chain, Commercial, Programme & Portfolio, Capital Delivery.
Preferred Qualifications
- Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies).
- 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.
What We Offer
- Continuous learning: you’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: we’ll provide the tools and flexibility so you can make a meaningful impact, your way.
- Transformative leadership: we’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: you’ll be embraced for who you are and empowered to use your voice to help others find theirs.
Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI employer: EY
At EY, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters continuous learning and personal growth. As a Senior Consultant in AI & Data, you'll be part of a diverse and inclusive culture where your unique perspectives are valued, and you'll have the opportunity to lead transformative initiatives that drive real business impact across various sectors. With a commitment to flexible working arrangements and a focus on developing future leaders, EY is the ideal place for those looking to make a meaningful contribution in the rapidly evolving field of AI and data strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI
✨Tip Number 1
Network like a pro! Get out there and connect with folks 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 to someone looking for a Senior Consultant.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your past projects and successes in AI strategy and data transformation. This will not only impress potential employers but also give you confidence when discussing your experience during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on articulating complex AI concepts in simple terms, just like you would need to do with senior stakeholders. This will help you shine when it counts!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI
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 relevant projects or achievements!
Showcase Your Soft Skills:This role is all about communication and collaboration. We love seeing candidates who can tell a story with their experiences, so include examples of how you've influenced stakeholders or led workshops in your application.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain complex concepts, especially around AI and data. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:We encourage you 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 EY
✨Know Your AI and Data Stuff
Make sure you brush up on the latest AI and data strategies relevant to the infrastructure industry. Be ready to discuss how you've contributed to enterprise-level AI strategies in the past, and have some examples of high-impact use cases that you've identified or worked on.
✨Show Off Your Communication Skills
Since this role involves a lot of interaction with senior stakeholders, practice articulating complex AI concepts in simple terms. Prepare a few stories that showcase your ability to influence and facilitate discussions, especially in cross-functional teams.
✨Understand the Business Value
Be prepared to explain how AI and data can drive business value. Think about specific instances where you've translated technical concepts into business language, and how those initiatives led to revenue growth or operational efficiency.
✨Tailor Your Approach
Research the company’s current AI landscape and be ready to discuss tailored roadmaps for transformation. Show that you understand their organisational structure and can contribute to developing high-level business architectures that enable scalable AI deployment.
