AI Strategy Consultant

iSystems Ltd; Lahore; On-site; PKR 1,800,000 - 3,600,000; Full time

Job summary

iSystems Ltd. seeks an AI Strategy Consultant with 8–15 years of strategy/management consulting experience and at least 3 years in AI/digital transformation to guide client AI initiatives. You will lead maturity assessments, design roadmaps, and build CoE-driven operating models.

The role requires strong executive communication and the ability to shepherd complex AI programs from ideation to funding. The candidate will run governance charters, foster board-level workshops, and champion change

Qualifications

• 8–15+ years in strategy/management consulting, with 3+ years in AI/digital transformation.

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

Executive facilitation

Stakeholder management

Storytelling

Change management

Portfolio prioritization

Technical fluency AI/ML

C-suite workshop leadership

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