(INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester

(INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester

Manchester Full-Time 70000 - 90000 € / year (est.) No home office possible
EY UK

At a Glance

  • Tasks: Lead AI transformation initiatives and develop tailored strategies for diverse sectors.
  • Company: Join a leading consultancy shaping the future of AI in infrastructure.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative environment with mentorship and continuous learning opportunities.
  • Why this job: Make a real impact by driving AI innovation and strategy for top clients.
  • Qualifications: STEM degree and strong experience in enterprise-level AI strategies required.

The predicted salary is between 70000 - 90000 € per year.

We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI‑first enterprise.

Your client impact

  • Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors.
  • Bring current global thinking and trends in the AI, Automation and Data space including within EY.
  • Carry out in-depth analysis of infrastructure‑specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation.
  • Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy.
  • Direct the definition of high‑level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation).
  • Lead cross‑functional workshops and design sessions with senior stakeholders to influence and align diverse stakeholder groups around a unified AI vision.
  • Present complex AI concepts and recommendations to senior leadership audiences.
  • Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness.
  • Contribute to solution development and oversee quality of proposals for AI‑led transformation.
  • Provide mentorship and guidance to team members and develop reusable assets.
  • Support 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.
  • Support internal processes to approve designs and proposals that have integrity and are commercially sound.

Essential Qualifications

  • STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field.

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.
  • Communication and presentation skills.
  • Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders.
  • Demonstrated 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.

Preferred Qualification

  • Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies).

(INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester employer: EY UK

As a leading employer in the AI and data strategy space, we offer an innovative work culture that fosters collaboration and continuous learning. Our Manchester and London offices provide a dynamic environment where you can lead transformative AI initiatives across various sectors, while benefiting from extensive mentorship and professional growth opportunities. Join us to make a meaningful impact in the infrastructure sector and be part of a team that values ethical AI practices and strategic thinking.

EY UK

Contact Detail:

EY UK Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land (INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester

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 to someone looking for your skills.

Tip Number 2

Showcase your expertise! Create a portfolio that highlights your past projects and successes in AI strategies. Use platforms like LinkedIn to share insights or articles related to AI and data. This not only demonstrates your knowledge but also gets you noticed by potential employers.

Tip Number 3

Prepare for interviews by understanding the company’s AI initiatives. Research their current projects and think about how your experience aligns with their goals. Be ready to discuss how you can help them become an AI-first enterprise – they’ll love your proactive approach!

Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Let’s get you on board!

We think you need these skills to ace (INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester

AI Strategy Development
Data Strategy Development
Stakeholder Management
Business Case Writing
Operating Model Design
AI/ML Technologies Knowledge
Predictive Analytics

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 Strategic Thinking:In your application, emphasise your ability to translate complex AI 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 Leadership Skills:As a Senior Manager, you’ll be leading teams and influencing stakeholders. Make sure to include instances where you’ve successfully led projects or mentored team members, as this will demonstrate your capability in managing diverse groups.

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 directly and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at EY UK

Know Your AI Stuff

Make sure you brush up on the latest trends and technologies in AI and data. Be ready to discuss how these can be applied in the infrastructure sector, especially in areas like predictive analytics and automation. Showing that you’re up-to-date will impress your interviewers!

Tailor Your Strategy

Prepare to talk about specific AI strategies you've implemented in previous roles. Think about how you can adapt these experiences to the needs of the company you're interviewing with. Highlighting your ability to create tailored roadmaps for transformation will demonstrate your strategic thinking.

Engage with Stakeholders

Since this role involves leading workshops and influencing senior stakeholders, practice articulating complex AI concepts in simple terms. Use examples from your past experiences where you successfully aligned diverse groups around a unified vision. This will show your communication skills are top-notch!

Show Your Leadership Skills

Be prepared to discuss your experience in mentoring and guiding teams. Share specific instances where you’ve led cross-functional teams or contributed to change management initiatives. This will highlight your leadership capabilities and your commitment to fostering an AI-driven culture.