#EG AI Mission Leader

NCS Group; Singapore; On-site; SGD 300,000 - 480,000; Full time

Job summary

NCS Group seeks an AI Mission Leader to translate complex domain problems into measurable AI outcomes and to align cross-functional teams for high-impact AI solutions across priority domains. The role benchmarks against leading mission-driven organizations with emphasis on rigorous problem framing, execution excellence, and responsible deployment.

The role requires executive leadership, metric-driven delivery, and a track record of shipping production AI systems in high-stakes environments.

Qualifications

• Executive leadership experience delivering complex technical programs with measurable business outcomes.
• 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.

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.

Skills

Executive leadership

AI problem framing

Multi-disciplinary leadership

Production AI

Risk management

Job description

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.

Job Description

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.

Qualifications

• 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 our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.