AI Strategy Consultant

Systems Limited; Lahore; On-site; PKR 1,500,000 - 2,000,000; Full time

Job summary

Systems Limited is seeking an experienced AI Strategy Consultant to help clients in Lahore turn AI ambition into fundable, sequenced roadmaps. You will lead maturity assessments, design operating models, and prioritize use cases with value and feasibility scoring.

This role requires 8–15 years in strategy/management consulting with 3+ years in AI/digital transformation, plus executive facilitation, storytelling for boards, and strong written communication.

Qualifications

• 8–15+ yrs strategy/management consulting experience.
• 3+ yrs AI/digital transformation experience.
• Working fluency with AI/ML architectures, models and data requirements.
• Experience designing AI operating models and governance charters.
• Executive-level communication and workshop facilitation.

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.
• Strong written communication — produces board-ready documents under tight deadlines.
• Success metrics: quality/adoption of delivered roadmaps; executive satisfaction post-engagement.

Skills

AI strategy

Portfolio prioritization

Executive facilitation

Narrative storytelling

Change management

Stakeholder management

Ambiguity tolerance

Coaching/advisory presence

Strategic planning

Roadmap development

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