Live opening · Posted 9 hours ago

#EG Senior / AI Management Consultant, AI Natives

NCS3 · Singapore, , Singapore
Smartrecruiters Hybrid Full-time
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyNCS3
LocationSingapore, , Singapore
Job typeFull-time
Work modeHybrid
SkillsPython
SourceSmartrecruiters
ListedPosted 9 hours ago

About the role

Description supplied by the original job listing.

ABOUT AI CENTRAL
AI Central (AIC) is NCS’s enterprise AI capability spine — responsible for building, productising, and deploying AI capabilities and reusable assets across regulated and mission-critical sectors.
We work at the intersection of AI, business transformation, and real-world client environments, turning opportunities into solutions that create measurable impact and can scale across sectors and markets.
THE ROLE
We are looking for an analytical and forward-thinking (Senior) AI Management Consultant to help clients identify where AI can create meaningful business value and translate those opportunities into tangible outcomes.
This is not a traditional advisory role. We are looking for AI-native consultants who combine structured problem solving and business acumen with a builder mindset — using AI as a force multiplier across research, analysis, solution design, and prototyping.
You will work closely with senior client leaders and multidisciplinary teams to move from business problem → AI opportunity → solution → measurable impact.
WHAT YOU WILL DO
AI Strategy & Transformation
Assess client AI readiness, data maturity, business processes, and operational challenges
Identify and prioritise AI, automation, and transformation opportunities based on business value and feasibility
Develop AI strategies, business cases, transformation roadmaps, and implementation plans
Redesign processes and operating models to embed AI effectively into business operations
Define KPIs and success measures to track business impact and adoption
Build & Validate
Translate ambiguous business challenges into clear solution hypotheses and actionable plans
Work with engineering, data science, and product teams to turn AI opportunities into prototypes, MVPs, and deployable solutions
Use AI tools actively across research, analysis, prototyping, and delivery
Drive rapid experiments to validate desirability, feasibility, and business value
Balance speed and experimentation with enterprise requirements around security, reliability, and governance
Client Engagement & Delivery
Lead client engagements and manage delivery with a high degree of independence
Facilitate workshops and engage stakeholders across all levels, including C-suite executives
Translate effectively between clients, business requirements and AI-native build teams
Advise clients on AI investment priorities, solution approaches, and build-versus-buy-versus-partner decisions
Build trusted client relationships through structured thinking, sound judgement, impartial advisory and practical problem solving
Contribute reusable frameworks, methodologies, and solution patterns that help scale NCS’s AI capabilities
WHAT YOU SHOULD POSSESS
2–6 years of relevant experience in management/strategy consulting, AI consulting, forward deployed engineering, digital transformation, or related fields
Experience in AI strategy, process transformation, operational excellence, or digital transformation
Strong analytical, strategic, commercial, and structured problem-solving capabilities
Ability to manage multiple stakeholders across all levels, and independently lead engagements
Excellent communication, presentation, facilitation, and client-facing skills
Strong interest in AI with demonstrated ability to use AI tools effectively in your work
Ability to navigate ambiguity, take proactive ownership, and deliver outcomes at pace
WHAT WILL MAKE YOU STAND OUT
Experience taking AI opportunities beyond strategy into prototypes, pilots, or implementation
Hands-on exposure to Python, analytics, automation, AI development, or low-code/no-code tools
Understanding of GenAI, LLMs, AI agents, automation technologies, and their practical business applications
Experience working closely with engineering, data science, or product teams
Experience in regulated or complex enterprise environments
Deep sectoral expertise in a specific industry

Employment type
Full-time

Work arrangement
Hybrid

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