Manager, AI & Data, Data Strategist, TC UKI

Ernst & Young Advisory Services Sdn Bhd; Manchester; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading consulting firm in Manchester seeks an experienced AI and Data Strategist to define and deliver enterprise-wide AI initiatives. The role requires expertise in AI technologies, strong communication skills, and the ability to influence senior stakeholders. Responsibilities include developing tailored AI strategies, conducting industry analyses, and presenting complex concepts. Ideal candidates should have a STEM degree and certifications in relevant areas.

Qualifications

• 5+ years of experience in AI strategy and implementation.
• Strong understanding of enterprise-level AI transformation initiatives.
• Experience leading cross-functional teams and workshops.

Responsibilities

• Define AI, data and automation strategies for client organizations.
• Conduct in-depth industry analysis and identify AI use cases.
• Present complex AI concepts to senior leadership audiences.

Skills

AI/ML technologies

Data governance frameworks

Communication skills

Stakeholder management

Strategic thinking

Education

STEM degree or equivalent certification

Certifications in relevant areas

Job description

Location: Manchester

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AI and Data Strategist

Grade: Manager

Position Overview

We are seeking an experienced AI and Data Strategy Manager to help shape and deliver enterprise-wide AI transformation initiatives for clients across multiple industry sectors. 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 consumer products, retail, health, energy, and life sciences sectors
• 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)
• Lead 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
• Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness
• 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.
• Proven track record of delivering enterprise-level AI strategies for complex or multinational organisations
• 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
• Familiarity with AI governance frameworks, model risk management, and regulatory requirements

Soft 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
• Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value
• Deep sector or domain expertise in at least one of the following areas
• Sector: consumer products, retail, healthcare, energy, or life sciences
• Domain: Finance, Supply Chain, Commercial
• Experience in designing operating models and organisational structures for data and AI, data and automation functions

Desirable 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)

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