AI Strategy Consultant

Systems Limited; Karachi Division; On-site; PKR 2,000,000 - 4,500,000; Full time

Job summary

Systems Limited is seeking an AI Strategy Consultant with 8-15 years of experience to advise clients on where and how to apply AI, turning ambition into fundable, sequenced plans. You will lead AI maturity assessments, build multi-horizon roadmaps, design operating models, and facilitate C-suite discussions to align on ambition and risk appetite while steering adoption and change across portfolios.

This role demands strong narrative skills, stakeholder management, and comfort with ambiguity to

Qualifications

• 8–15+ years in strategy/management consulting.
• 3+ years in AI/digital transformation.
• Fluent with AI/ML architectures, data needs.
• Experience designing AI operating models and governance.
• Ability to review PoC results and architecture docs.
• Executive-level communication and facilitation.

Responsibilities

• Lead AI maturity assessments using structured diagnostic frameworks.
• Build multi-horizon AI roadmaps sequencing use cases by value and feasibility.
• Design AI operating models and governance charters.
• Run use-case discovery workshops and prioritize portfolio.
• Create AI value-realization framework with KPIs and tracking.
• Manage AI portfolio and allocate investments across use-cases.
• Facilitate C-suite and board-level AI alignment workshops.
• Own AI adoption and change-management plans across portfolios.
• Coordinate competing executive priorities and sponsor alignment.
• Coach sponsors on championing AI initiatives internally.
• Produce board-ready documentation under tight deadlines.

Skills

AI strategy

Executive communication

Portfolio prioritization

Change management

Tools

Azure AI Foundry

AWS Bedrock

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