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 #J-18808-Ljbffr