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(inv) senior consultant, ai & data, data strategist, infrastructure, tc uki

Manchester
hackajob
Consultant
€70,000 a year
Posted: 19h ago
Offer description

Position Overview

Role: Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI

Location: Manchester

Salary: Competitive

Date Posted: 7 May 2026

Requisition ID: 1657306


Role Summary

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 build a better working world.


Responsibilities

* 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 to align diverse 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 proposals 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 with 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:
o Infrastructure
o 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.
* 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.


Benefits

* Competitive remuneration package rewarding individual and team performance.
* Comprehensive Total Rewards package including flexible working, career development, health and well‑being, insurance, savings and a range of discounts, offers and promotions.
* Continuous learning opportunities to develop mindset and skills.
* Transformative leadership support with coaching and confidence building.
* Diverse and inclusive culture embracing individuality and empowering voice.
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