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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 ethical AI and sustainability.
- 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 60000 - 80000 £ 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.
Your client impact:
- 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).
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.
- 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: WeAreTechWomen
Contact Detail:
WeAreTechWomen 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 refer you to someone looking for your skills.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your projects related to AI and data strategies. This could be anything from case studies to presentations. When you apply through our website, include this portfolio to give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain complex AI concepts in simple terms. Practice how you’d present your ideas to senior stakeholders, just like you would in a workshop. This will help you stand out as a strategic thinker.
✨Tip Number 4
Don’t forget to follow up! After an interview or networking event, drop a quick thank-you email to express your appreciation. It keeps you on their radar and shows your enthusiasm for the role. Plus, it’s a great way to reinforce your fit for the position!
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 to highlight your experience in AI and data strategies, especially in the infrastructure sector. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Soft Skills: This role is all about collaboration and communication, so be sure to include examples of your team leadership and stakeholder management skills. We love seeing how you’ve influenced senior stakeholders or led cross-functional workshops!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain complex concepts, as we’re looking for someone who can translate technical jargon into business value. Remember, clarity is key!
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 WeAreTechWomen
✨Know Your AI and Data Stuff
Make sure you brush up on the latest trends in AI, data, and automation. Be ready to discuss how these technologies can create real business value, especially in the infrastructure sector. Familiarise yourself with specific use cases that could drive revenue growth and operational efficiency.
✨Tailor Your Strategy
Prepare to showcase your ability to define comprehensive AI and data strategies. Think about how you would assess an organisation's maturity in these areas and create tailored roadmaps for transformation. Bring examples of past experiences where you've successfully implemented similar strategies.
✨Communicate Like a Pro
Your communication skills are key! Practice explaining complex AI concepts in simple terms. Be ready to present your ideas clearly to senior leadership and demonstrate how you can align diverse stakeholders around a unified AI vision.
✨Show Your Leadership Skills
Highlight your experience in leading cross-functional teams and workshops. Be prepared to discuss how you've influenced senior stakeholders and driven change management initiatives in previous roles. This will show that you can embed an AI-driven culture within client organisations.