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Senior AI Management Consultant

NCS PTE. LTD.
Singapore · 10294 km · vor 1 Tagen
FreelanceVor OrtS$11'500–18'000/Mt.
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Gefragte Skills

Client Facing SkillsOperational Excellencebusiness scenariosResolve Technical and Operational IssuesComputer ScienceAnalytical and Problem-Solving SkillsInformation Sciencesachieving KPIs
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Stellenbeschreibung

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

Qualifications

WHAT YOU SHOULD POSSESS

Master’s degree in Business, Engineering, Computer Science, Information Systems, or a related discipline

4–8 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

Quelle: mycareersfuture.gov.sg. Für die Inhalte der Inserate übernehmen wir keine Haftung.

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