Senior Manager, AI & Data, Data Strategist, TC UKI
Role details
Job location
Tech stack
Job description
We are seeking an exceptional Senior Manager level AI and Data Strategist to lead a team, shape and deliver enterprise-wide AI transformation initiatives for clients across multiple industry sectors. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organizational frameworks needed to become an AI-first enterprise.
Your impact
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Lead a team of AI consultants and architects to define comprehensive AI and data strategies tailored to client organizations across consumer products, retail, health, energy, and life sciences sectors
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Lead the in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation
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Assess organizational AI maturity and create tailored roadmaps for transformation including operating models, organisational structure and capabilities required to deliver the strategy
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Direct the definition of high-level business and technology architectures that enable scalable AI deployment
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Lead cross-functional workshops and design sessions with senior stakeholder to Influence and align diverse stakeholder groups around a unified AI vision
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Present complex AI concepts and recommendations to board-level audiences
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Prioritize AI initiatives based on strategic value, feasibility, and organizational readiness
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Lead solution development of high impact bid responses and proposal for AI led transformation
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Build and coach a team of AI strategy consultants and develop reusable assets
Requirements
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In AI/ML strategy, data strategy, or digital transformation consulting
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Proven track record of delivering enterprise-level AI strategies for Fortune 500 or equivalent organizations
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Strong team leadership and coaching skills
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Deep expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences
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Experience in designing operating models and organizational structures for data and AI functions
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Strong understanding of AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP
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Knowledge of modern data architectures, cloud platforms, and AI infrastructure
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Familiarity with AI governance frameworks, model risk management, and regulatory requirements
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Strategic thinking with demonstrated ability to translate complex technical concepts into business language
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Proven communication and presentation skills.
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Proven stakeholder management skills with excellent facilitation and workshop design capabilities
Preferred Qualifications
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MBA or advanced degree in Computer Science, Data Science, Engineering, or related field
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Certification in relevant areas (e.g., cloud platforms, data governance, AI ethics)
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Experience with Big 4 consulting methodologies and framework
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Continuous learning mindset to stay ahead of rapidly evolving AI landscape