Manager, AI Strategy, EY-Parthenon

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Key Responsibilities

As a Manager within AI Strategy practice, you’ll lead defined work streams or smaller AI strategy engagements, manage junior team members and support Associate Directors, Directors and Partners in delivering high-quality client outcomes

This will include:

• Translating complex client questions into clear hypotheses, workplans, analytical requirements and client-ready deliverables
• Managing the day-to-day delivery of work streams, including timelines, team activities, dependencies, analytical quality and delivery risks
• Supporting enterprise AI strategy engagements through AI maturity assessments, value-pool sizing, use-case prioritisation, operating-model design, business cases and implementation roadmaps
• Delivering modules of buy-side and vendor AI due diligence, including assessing AI capabilities, commercial defensibility, technology and execution risks, value creation opportunities and AI equity narratives
• Managing day-to-day client relationships, conducting interviews and workshops, and presenting clear, evidence-based findings to senior stakeholders
• Leading and coaching Consultants and Senior Consultants, reviewing their analysis and creating an inclusive, collaborative and high-performing team environment
• Supporting proposals, proposition development, thought leadership and the identification of follow-on opportunities

Skills and Attributes for Success

The successful candidate will demonstrate:

Structured strategy consulting capability

• Strong hypothesis-led problem-solving, analytical judgement and the ability to structure complex or ambiguous questions
• Strong synthesis and storytelling skills, with the ability to produce concise, decision-oriented recommendations under demanding deadlines

Techno-commercial AI fluency

• A practical understanding of enterprise AI, including generative AI, data and technology architecture, operating models, governance and responsible AI
• The ability to translate technical considerations into implications for commercial value, cost, feasibility, scalability, risk and competitive differentiation

Commercial and quantitative capability

• Strong commercial acumen and experience developing business cases, value-driver analyses, cost models and implementation roadmaps
• Strong PowerPoint and Excel capability, with the ability to evaluate management, technology and vendor claims critically

Leadership and communication

• Strong workstream and team leadership, with the ability to manage junior colleagues and coordinate inputs from multidisciplinary specialists
• Excellent written and verbal communication, credibility with senior stakeholders and a proactive, collaborative and intellectually curious working style

Candidates must have:

• At least four years of management consulting experience, with substantial experience with a recognised strategy or management consulting firm, strategy boutique or strategy-led transactions practice
• Evidence of operating at Senior Consultant or Manager level, or clear readiness to move into a manager position immediately
• At least one year of substantive AI-focused experience, gained through one or more of the following:
  • Enterprise AI strategy
  • AI-enabled business or functional transformation
  • AI or technology due diligence
  • AI value creation planning
  • Strategy for AI-enabled products or businesses
  • Data, digital or technology strategy with a material AI component
• A track record of independently leading defined work streams from planning through to delivery
• Experience managing Consultants, Senior Consultants or small multidisciplinary…