Lead, AI Portfolio Management & Commercialization

Responsibilities

. Lead the integrated management of enterprise AI portfolio connecting strategy, investment, delivery, adoption and value realisation.

. Drive portfolio prioritisation, sequencing and governance, balancing strategic impact, execution readiness, risk, dependencies and resource constraints.

. Establish a clear, decision-ready view of portfolio health and identify systemic issues, trade-offs and interventions required to protect outcomes.

. Orchestrate senior cross-functional interventions across business, product, technology, data, finance, legal and risk teams, acting as the escalation point for material portfolio issues.

. Strengthen portfolio disciplines, decision rights, management information and operating cadence.

. Translate complex portfolio performance, value realisation, technology developments and strategic risks into concise, compelling narratives for Executive/ Senior leadership forums.

. Develop high-impact executive read-outs, strategic reviews, investment cases and decision papers that clearly frame progress, implications, trade-offs and recommended actions.

. Synthesize multiple value pools and workstreams into a coherent enterprise story, ensuring leadership has the right level of insight.

. Use structured problem solving and fact-based analysis to challenge assumptions, sharpen recommendations and accelerate executive alignment and decision-making.

. Shape the broader narrative of AI transformation for selected internal and external engagements.

. Identify selected AI and Agentic AI assets with potential for broader productisation or external commercialisation.

. Shape commercialisation pathways and business cases, including market opportunity, customer need, value proposition, packaging, go-to-market options and commercial model considerations.

. Partner with stakeholders to assess opportunity attractiveness and commercialisation readiness.

. Develop and nurture a qualified pipeline of opportunities, moving promising concepts from initial exploration toward structured validation and accountable ownership.

. Engage strategic customers and ecosystem partners, including hyperscalers, startups and industry participants, where partnerships can accelerate capability development, adoption or market reach.

Requirements

. At least 10 years of experience in strategy, management consulting, enterprise transformation, portfolio management, digital or technology strategy, or comparable leadership roles.

. Demonstrated experience leading complex, cross-functional portfolios and influencing senior executives in a matrixed organisation.

. Strong track record of structuring ambiguous problems, developing actionable recommendations and driving outcomes without direct line authority.

. Experience developing executive-level narratives, presentations and decision materials for C-suite or senior leadership audiences.

. Experience in commercialisation, business-case development, productisation, partnerships or go-to-market strategy.

. Demonstrate consulting-calibre structured problem-solving, strong synthesis skills, and sound strategic judgement.

. Working understanding of AI, data and technology transformation, with the ability to translate technical complexity into business implications.

. Commercial acumen and the ability to connect AI investments to business value, customer outcomes and growth opportunities.

Licence no: 12C6060