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NCS

ICT consulting, digital transformation, cybersecurity services

AI Delivery Project Manager / Scrum Master

Project ManagementConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedHybrid

About the Job

Requirements

  • At least 3 years of Project Management or Scrum Master experience, including at least 1 year delivering AI/Gen AI engagements.
  • Experience planning and executing short-cycle proofs of concept/proofs of value or Agile delivery cycles, including running stand-ups, sprint planning, demos, and retrospectives.
  • Working understanding of an AI/Gen AI delivery lifecycle and what production-ready means for an AI system beyond a working demo.
  • Strong stakeholder management and communication skills, with comfort engaging stakeholders up to Director level.
  • Working understanding of Generative AI capabilities and constraints, including accuracy, hallucination, data quality, and latency/cost trade-offs, sufficient to actively manage delivery risk.
  • Comfort coordinating distributed/offshore teams and tracking budgets across short POC cycles and production-scale engagements.

Responsibilities

  • Own delivery of the squad's engagement through the Forward Deployed Engineering lifecycle—Discover, POC, POV, PRR, Scale, and Operate—tracking each workstream and the requirements to advance it.
  • Plan and execute short-cycle POCs/POVs from concept to evaluation, including receiving and refining scoped opportunities handed off from AI Mission.
  • Define minimal scope, success criteria, and timelines appropriate to each lifecycle stage; prioritize features based on value, feasibility, and constraints.
  • Coordinate the Production Readiness Review gate as delivery-side owner, tracking the five-pillar checklist—including Evaluation & Quality, Security/Governance/Compliance, and Model & Token Strategy—to readiness in partnership with the AI Architect and AI/LLM Specialist.
  • Run lightweight Agile ceremonies—daily stand-ups, sprint planning and refinement, demo reviews, and retrospectives—adapted for AI/Gen AI work where completion is measured by evaluation results as well as shipped code.
  • Promote velocity, transparency, and continuous improvement across experimentation-heavy sprints.
  • Unblock progress, including securing data access, model access, and compliance sign-offs, while minimizing ceremony overhead.
  • Maintain an AI delivery risk register covering hallucination/accuracy risk, data quality dependency, model/token cost exposure, and latency, and translate these risks into actionable scope and timeline decisions.
  • Advise stakeholders when a request is technically impractical, high-risk, or better served by a non-Gen AI approach, drawing on input from the AI Engineer, AI/LLM Specialist, and Data Scientist.
  • Maintain working awareness of the Gen AI model landscape, including China-origin models such as DeepSeek, Qwen, and GLM, to support feasibility discussions with technical leads and clients.
  • Own secure software delivery and governance practices as lifecycle checkpoints, flagging compliance gaps such as IM8, PDPA, and sector-specific requirements early.
  • Coordinate delivery across AI Mission, AIIS, and AI Experience for the squad's engagement.
  • Translate problem statements into achievable POC/POV plans and manage expectations about deliverables, timing, rationale, and lifecycle stage.
  • Facilitate communication between business and engineering stakeholders.
  • Socialize learnings, outcomes, and next steps; present outcomes and lifecycle-stage recommendations to stakeholders and decision makers up to Director level.
  • Track POC/POV performance against defined success criteria using evaluation evidence, including accuracy, hallucination rate, and cost-per-query, from the AI/LLM Specialist.
  • Document findings, results, and lifecycle-stage recommendations to advance, iterate, or stop for technical and business audiences.
  • During FDE engagements, run fast-cycle Agile ceremonies and POC/POV plans that support rapid client iteration and drive the engagement toward a PRR gate decision.
  • During system development and maintenance engagements, use disciplined delivery tracking and stakeholder reporting appropriate for live production systems, coordinating ongoing model/cost monitoring handoffs with LLMOps and AI FinOps.
  • Coordinate work across Application Architect, Fullstack Developer, Cloud Engineer, AI Engineer, and Data Scientist roles; manage remote or offshore collaboration; and track resource use and budgets across POC cycles and production engagements.

Desired Qualifications

  • Direct experience coordinating or participating in a Production Readiness Review or equivalent AI governance gate.
  • Awareness of secure software delivery and governance practices, particularly for government-adjacent engagements involving IM8 and PDPA.
  • Experience presenting outcomes and recommendations to senior stakeholders and decision makers.
  • Exposure to Singapore Government GCC/HCC engagement contexts.

About the Company

NCS

ICT consulting, digital transformation, cybersecurity services

NCS delivers ICT services in the Asia Pacific region, including consulting, digital transformation, technology solutions, and cybersecurity for government and private sector clients. It offers advisory, implementation, and managed services, supported by three innovation centers in Singapore, Melbourne, and Shenzhen and a workforce of about 13,000 across 20 cities. The company emphasizes long-term client partnerships, regional scale, and practical solutions developed at its innovation centers. Its goal is to help clients navigate digital transformation and cybersecurity while maintaining ethical conduct and transparent governance.

Company size
10,001+
Company stage
Grant
Total funding
$780K
Headquarters
Singapore, Singapore
Founded
1981

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