INV Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI
Listed on 2026-07-08
-
IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
hackajob is collaborating with EY to connect them with exceptional professionals for this role.
(INV) Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI
Location:
Manchester
Other locations:
Primary Location Only
Salary:
Competitive
Date:
7 May 2026
Job description
Requisition :
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
AI and Data Strategist
Grade:
Senior Consultant
Position Overview
We are seeking an experienced AI and Data Strategy Senior Consultant to help shape and deliver enterprise-wide AI transformation initiatives for clients across the infrastructure industry. This role requires a strategic business technologist who can operate as part of a team to 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
- Help define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
- Support 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
- Help assess organisational AI and data landscape maturity and create tailored roadmaps for transformation in areas such as 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 EY project leadership in cross-functional workshops and design sessions with senior stakeholders as they seek to align diverse stakeholder groups around a unified AI vision
- Help create content to articulate complex AI/agentic concepts and recommendations to senior leadership audiences
- Conduct analysis that inputs to the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness
- Contribute to solution development of high impact bid responses and proposal for AI led transformation
Essential Qualifications
- STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
Essential Criteria
- Experience of contributing to enterprise-level AI strategies for complex or multinational organisations
- Familiarity with the design of operating models and organisational structures for data and AI functions
- Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation
- Familiarity with AI governance frameworks, model risk management, and regulatory requirements
Soft Skills
- Communication, storytelling and presentation skills
- Experience of facilitation and workshop design capabilities including ability to influence senior stakeholders
- Experience of interacting and collaborating with 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 ability to translate complex technical concepts into business language and explain how they drive business value
Preferred Criteria
- Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA
- Exposure to at least one of the following domains and/or sectors:
- Sector:
Infrastructure
Domain:
Finance, Supply Chain, Commercial, Programme & Portfolio, Capital Delivery
- Experience with Big 4 consulting methodologies and framework
Preferred Qualifications
- Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
- 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 - Experienc…
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