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For Companies 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 55000 - 65000 £ 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, ensuring 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 the 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
Contact Detail:
EY 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
Show off your expertise! Create a portfolio showcasing your past projects, especially those related to AI strategies or data transformation. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of current trends in AI and data. Be ready to discuss how you've applied these concepts in real-world scenarios. This will demonstrate your strategic thinking and ability to translate complex ideas into business value.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that dream job!
We think you need these skills to ace (INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Manager, AI & Data Strategist role. Highlight your experience in AI strategies and how it aligns with the infrastructure sector. We want to see how you can bring value to our clients!
Showcase Your Expertise: Don’t hold back on showcasing your knowledge of AI/ML technologies and data governance frameworks. Use specific examples from your past work to demonstrate your expertise. This is your chance to shine, so let us know what you’ve got!
Be Clear and Concise: When writing your application, keep it clear and to the point. Avoid jargon unless necessary, and make sure your key achievements stand out. We appreciate straightforward communication that gets right to the heart of your experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at EY
✨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 coaching team members. 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.