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- Tasks: Lead AI and data strategies to transform infrastructure for clients.
- 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 a focus on continuous learning and innovation.
- Why this job: Make a real impact by driving AI transformation in diverse sectors.
- Qualifications: STEM degree and experience in enterprise-level AI strategies required.
The predicted salary is between 80000 - 100000 ÂŁ per year.
We are seeking an experienced AI and Data infrastructure Strategy Manager to help shape and deliver enterprise-wide AI transformation initiatives for clients across the infrastructure sector. 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.
- Define comprehensive AI, data and automation strategies tailored to client organisations across infrastructure 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).
- 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.
- 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.
- 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.
(INV) Manager, AI and Data Strategist - Infrastructure, TC, UKI 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) Manager, AI and Data Strategist - Infrastructure, 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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with AI strategies and data projects. Use real-world examples to demonstrate how you've driven business value. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on current trends in AI and data. Be ready to discuss how these trends can impact the infrastructure sector. We want to see you confidently articulate your thoughts and ideas to impress those senior stakeholders!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, get clicking and show us what you've got!
We think you need these skills to ace (INV) Manager, AI and Data Strategist - Infrastructure, TC, UKI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience in AI and data strategies, especially in the infrastructure sector. We want to see how your skills align with our needs!
Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of how you’ve delivered enterprise-level AI strategies or transformed organisations. We love seeing quantifiable results that demonstrate your impact!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain complex concepts, as if you're talking to someone who might not be a tech expert. We appreciate clarity and directness!
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!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your AI and Data Inside Out
Make sure you brush up on the latest trends in AI, data, and automation. Be prepared to discuss how these technologies can create business value, especially in the infrastructure sector. Familiarise yourself with specific use cases that have driven revenue growth and operational efficiency.
✨Tailor Your Strategy
Understand the organisational frameworks needed for an AI-first enterprise. Think about how you would assess a client's AI and data landscape maturity and create tailored roadmaps for transformation. Bring examples of how you've done this in the past to showcase your strategic thinking.
✨Communicate Like a Pro
Practice presenting complex AI concepts in simple terms. You’ll need to explain your ideas to senior leadership, so focus on storytelling techniques that highlight the business impact of your strategies. Use clear examples to illustrate your points and engage your audience.
✨Showcase Your Soft Skills
Highlight your team leadership and stakeholder management abilities. Be ready to discuss how you've facilitated workshops or influenced senior stakeholders in previous roles. Demonstrating your collaborative mindset and continuous learning approach will set you apart from other candidates.