AI Strategy Consultant

Systems Limited; Kuala Lumpur; On-site; MYR 180,000 - 360,000; Full time

Job summary

Systems Limited in Kuala Lumpur seeks an AI Strategy Consultant with 8-15 years of strategy/management consulting experience to shape AI roadmaps, operating models, and prioritization turning ambition into fundable plans.

You will lead maturity assessments, design multi-horizon roadmaps, define governance, and facilitate C-suite workshops to align on AI ambition and risk. This role blends advisory excellence with change management for adoption across units.

Qualifications

• 8-15+ yrs strategy/management consulting, with 3+ yrs in AI/digital transformation.
• Working technical fluency in AI/ML architectures, model types, and data requirements.
• Skilled in portfolio prioritization and value-scoring frameworks (RICE, weighted-value matrices).
• Experience designing AI operating models, governance charters, and funding/chargeback mechanisms.
• Familiar with AI maturity models and capability diagnostic frameworks.
• Comfortable reviewing technical architecture documents and PoC results to validate assumptions.
• Working knowledge of enterprise AI/agentic platforms for build-vs-buy guidance.

Responsibilities

• Lead AI maturity assessments using structured diagnostic frameworks (capability, data, technology readiness scoring).
• Build multi-horizon AI roadmaps (12/24/36-month) sequencing use cases by value, feasibility, and dependency.
• Design AI operating models - CoE structures, hub-and-spoke or federated models, funding/chargeback mechanisms.
• Run structured use-case discovery workshops and score/prioritize the portfolio (RICE, value-effort matrices).
• Build the AI value-realization framework - KPIs, baseline metrics, post-deployment tracking methodology.
• Own AI Portfolio Management - stage-gating and reallocating investment across the use-case pipeline.
• Facilitate C-suite and board-level workshops to align on AI ambition and risk appetite.
• Own the AI adoption and change-management plan at the portfolio level.
• Manage competing executive priorities and broker consensus across business-unit leaders.
• Coach client sponsors on how to champion AI initiatives internally.

Skills

AI strategy

Maturity assessments

Roadmap design

Executive facilitation

Stakeholder alignment

Change management

Portfolio management

Communication skills

Tools

Azure AI Foundry

AWS Bedrock

Google Vertex AI

LangChain

Hugging Face

Job description

We are seeking a AI Strategy Consultant with approximately 8-15 years of experience in the field. Advises clients on where and how to use AI - roadmaps, operating-model design, and use-case prioritization that turn ambition into a fundable, sequenced plan.

Responsibilities:

• Lead AI maturity assessments using structured diagnostic frameworks (capability, data, technology readiness scoring)
• Build multi-horizon AI roadmaps (12/24/36-month) sequencing use cases by value, feasibility, and dependency
• Design AI operating models - CoE structures, hub-and-spoke or federated models, funding/chargeback mechanisms
• Run structured use-case discovery workshops and score/prioritize the portfolio (RICE, value-effort matrices)
• Build the AI value-realization framework - KPIs, baseline metrics, post-deployment tracking methodology
• Own AI Portfolio Management - stage-gating and reallocating investment across the use-case pipeline
• Facilitate C-suite and board-level workshops to align on AI ambition and risk appetite
• Own the AI adoption and change-management plan at the portfolio level
• Manage competing executive priorities and broker consensus across business-unit leaders
• Coach client sponsors on how to champion AI initiatives internally

Requirements:

• 8-15+ yrs strategy/management consulting, with 3+ yrs in AI/digital transformation specifically
• Working technical fluency in AI/ML architectures, model types, and data requirements
• Skilled in portfolio prioritization and value-scoring frameworks (RICE, weighted-value matrices)
• Experience designing AI operating models, governance charters, and funding/chargeback mechanisms
• Familiar with AI maturity models and capability diagnostic frameworks
• Comfortable reviewing technical architecture documents and PoC results to validate assumptions
• Working knowledge of enterprise AI/agentic platforms for build-vs-buy guidance - Microsoft Azure AI Foundry, AWS Bedrock, and Google Vertex AI; open-source ecosystem awareness (LangChain, Hugging Face) a good-to-have
• Executive-level communication and facilitation - can run and control a C-suite workshop
• Strong narrative/storytelling skills - turns a roadmap into a compelling, fundable business case
• Political acumen - navigates competing stakeholder agendas without stalling momentum
• Comfortable with ambiguity - structures a fuzzy transformation mandate into a sequenced plan
• Coaching and advisory presence - builds trust with senior client sponsors over months
• Strong written communication - produces board-ready documents under tight deadlines
• Success metrics: quality/adoption of delivered roadmaps (sign-off, follow-on funding) - % of prioritized use cases reaching delivery - executive satisfaction post-engagement