Lead, AI Portfolio Management & Commercialization

Jobline Resources Pte Ltd

Singapore

On-site

SGD 180,000 - 300,000

Full time

14 days+
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Job summary

Jobline Resources Pte Ltd is seeking a senior leader to drive the integrated management of an enterprise AI portfolio in Singapore. You will connect strategy, investment, delivery, adoption and value realisation, coordinating across business, product, technology, data, finance, legal and risk teams to ensure outcomes.

You will shape executive read-outs, investment cases and decision papers, translating complex AI initiatives into clear strategic narratives for C-suite audiences and steering

Qualifications

  • At least 10 years in strategy, management consulting, or related leadership roles.
  • Experience leading complex, cross-functional portfolios and influencing senior executives.
  • Strong ability to structure ambiguous problems and drive outcomes.
  • Experience creating executive-level narratives and decision materials.

Responsibilities

  • Lead integrated management of enterprise AI portfolio across strategy, investment, delivery, adoption and value realization.
  • Drive portfolio prioritisation, sequencing and governance balancing impact, readiness, risk and resources.
  • Establish a clear, decision-ready view of portfolio health and identify interventions.
  • Coordinate cross-functional governance with business, product, tech, data, finance, legal and risk teams.
  • Synthesize value, tech developments and risks into concise executive narratives for leadership forums.
  • Develop investment cases and decision papers outlining progress, trade-offs and actions.

Skills

Strategic leadership
Portfolio governance
Executive storytelling
Problem solving
Cross-functional collaboration

Job description

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

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