#EG AI Mission Leader

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Role Summary The AI Mission Leader is a senior executive responsible for translating complex domain problems and stakeholder relationships into measurable AI outcomes. This leader sets mission direction, aligns cross-functional teams, and ensures delivery of high-impact AI solutions across priority domains such as AI in general medicine and enterprise GenAI transformation. The role is benchmarked against top-tier mission- driven organizations (e.g., Palantir, Anthropic) with an emphasis on rigorous problem framing, execution excellence, and responsible deployment. Key Responsibilities • Mission definition and outcomes: Frame ambiguous, high-stakes domain problems into clear AI mission objectives, success metrics, and delivery roadmaps. • Stakeholder leadership: Build and manage executive-level relationships across customers, partners, and internal leadership; translate needs into actionable AI programs. • AI strategy and portfolio ownership: Prioritize initiatives across domains (e.g., general medicine, GenAI transformation), balancing impact, feasibility, risk, and time- to-value. • End-to-end delivery: Lead cross-functional teams (product, engineering, data science, design, security, compliance) to deliver production AI systems. • Operational excellence: Establish governance, delivery cadence, and decision- making frameworks to keep programs on track. • Measurement and accountability: Define KPIs/OKRs and ensure ongoing monitoring of model/business performance; drive iteration based on evidence. • Responsible AI: Ensure safety, privacy, regulatory, and ethical requirements are embedded in design, training, evaluation, and deployment. • Change management: Drive adoption and transformation, including training, workflow redesign, and stakeholder communications. • Talent and culture: Hire, coach, and retain high-performing AI leaders; set a culture of clarity, rigor, and mission focus. Scope / Example Missions • General medicine: Clinical decision support, care pathway optimization, patient triage, documentation automation, population health analytics, operational forecasting. • GenAI transformation: Enterprise knowledge assistants, workflow copilots, customer support automation, content and code generation enablement, secure retrieval- augmented generation (RAG) solutions. • AI platform enablement: Standardized evaluation, MLOps/LLMOps, monitoring, data quality programs, reusable components to accelerate delivery across teams. • Executive leadership experience delivering complex technical programs with measurable business outcomes. • Demonstrated ability to translate domain challenges into AI solutions, including problem definition, metric design, and delivery planning. • Strong technical fluency in applied AI/ML and GenAI concepts (model capabilities/limits, evaluation, data pipelines, deployment considerations). • Experience leading multi-disciplinary teams and influencing without authority across senior stakeholders. • Proven track record of shipping production AI systems in regulated and/or high- stakes environments (e.g., healthcare preferred). • Ability to manage risk across privacy, security, compliance, and safety, with a pragmatic approach to responsible AI. Success Metrics (Examples) • Business impact: Revenue growth, cost reduction, cycle-time reduction, quality improvements attributable to AI programs. • Adoption: User activation/retention, workflow penetration, stakeholder satisfaction, training completion. • Model performance: Task-specific accuracy/utility, hallucination/error rates, calibration, robustness, bias/fairness measures. • Operational reliability: Latency, uptime, incident rate, monitoring coverage, model drift detection and response time. • Delivery execution: On-time milestones, scope control, risk closure rate, cross-team alignment health. Core Leadership Qualities (Benchmarked to Top AI Organizations) • Mission-first orientation: Relentless focus on real-world outcomes and measurable impact. • Exceptional problem framing: Turns ambiguity into crisp goals, constraints, and decision points. • High-standards execution: Drives pace, quality, and accountability; raises the bar for technical and operational rigor. • Systems thinking: Understands end-to-end socio-technical systems, not just models. • Credible technical leadership: Communicates with depth; earns trust of senior engineers, researchers, and domain experts. • Stakeholder mastery: Builds durable relationships, handles conflict productively, and aligns incentives. • Product intuition: Understands user workflows, adoption barriers, and change management. • Integrity and safety mindset: Embeds responsible AI, security, and privacy into delivery. • Talent magnet: Attracts and develops high-caliber teams; sets a culture of learning and ownership. Reporting Line and Collaboration • Reports to a C-level executive (e.g., CEO, CTO, Chief Data/AI Officer) and partners closely with Product, Engineering, Clinical/Domain Leadership (for medicine), • Security, Legal/Compliance, and go-to-market leadership. Serves as an executive- facing leader for mission outcomes and portfolio performance. Why Join NCS • Lead high-impact AI management consulting programs for major enterprises and public sector clients. • Shape enterprise strategies and governance frameworks that drive real transformation. • Work with a talented, multidisciplinary team in a collaborative environment. • Competitive compensation and strong professional development support. We are driven by o…