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- Tasks: Lead AI transformation initiatives and develop tailored strategies for diverse sectors.
- Company: Join a leading firm at the forefront of AI and data innovation.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
- Why this job: Make a real impact by shaping AI strategies that drive business value.
- Qualifications: STEM degree and strong experience in enterprise-level AI strategies required.
The predicted salary is between 80000 - 100000 £ 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.
- 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.
- 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 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: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd 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 folks in the AI and data space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your past projects and successes in AI and data strategy. This is your chance to demonstrate how you can bring value to potential employers, so make it visually appealing and easy to navigate.
✨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 can apply these insights to real-world challenges in the infrastructure sector. Practice articulating complex concepts in simple terms – it’s all about making that connection!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our team at StudySmarter!
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 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 technical 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: Since this is a senior position, it’s crucial to demonstrate your team leadership and coaching abilities. Share instances where you’ve led cross-functional teams or influenced stakeholders to achieve a common goal.
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 Ernst & Young Advisory Services Sdn Bhd
✨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 the interviewers!
✨Tailor Your Strategy
Prepare to talk about specific AI strategies you've implemented in previous roles. Think about how you can adapt these strategies to fit the needs of the company you're interviewing with. Having concrete examples will help you demonstrate your expertise and strategic thinking.
✨Engage with Stakeholders
Since this role involves working with senior stakeholders, practice how you would present complex AI concepts in a way that's easy to understand. Use clear language and relatable examples to show that you can bridge the gap between technical details and business value.
✨Show Your Leadership Skills
Be prepared to discuss your experience in leading teams and mentoring others. Highlight any workshops or design sessions you've facilitated, as well as how you've influenced diverse groups. This will showcase your ability to lead cross-functional teams effectively.