AI Advisory Manager

Role overview

Client understanding and AI strategy

• Interview client teams and run workshops to understand challenges, data and readiness for AI.
• Synthesize interviews into notes, insights and findings; build trusted client relationships and serve as a day-to-day contact.
• Identify and rank practical AI and generative AI uses by value, feasibility and readiness.
• Develop business cases, benefits measures, practical plans, first phases and options for how clients should organize to use AI.
• Create clear diagrams of proposed solutions for technical and non-technical audiences.

AI-enabled work and team leadership

• Use Claude, Claude Design, Claude Cowork and other tools to draft strategies, proposals, presentations, interview notes and diagrams.
• Check AI-assisted materials for accuracy, logic and tone; share effective practices and prompts with the wider team.
• Lead and coach analysts, consultants and specialists, setting direction and providing regular feedback.
• Keep work on track for scope, timing, quality and budget, and raise risks early.
• Support proposals, pitches, new-work opportunities and follow-up conversations.

Responsible AI and adoption

• Apply responsible AI principles, data protection law including UK GDPR, and sensible model-use and monitoring checks.
• Help clients plan adoption, including skills, change and ways of working.
• Handle client information in line with firm policy and engagement terms.

Essential criteria

• Proven consulting experience in professional services, an advisory practice or a comparable client-facing role, shaping strategy or leading data, technology or AI delivery.
• The posting suggests five or more years of consulting experience but marks this as to be confirmed.
• Strong client skills.

Flexible working

• The employer is open to discussing flexible working, reduced hours and job shares.

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