AI Strategy Consultant

Systems Limited; Maharashtra; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Systems Limited is seeking an AI Strategy Consultant with 8-15 years of experience to advise clients on AI adoption through roadmaps, operating-model design, and use-case prioritization that turns ambition into fundable plans.

You will lead maturity assessments, build multi-horizon roadmaps, and design governance with CoE/federated models, enabling structured value realization and board-ready communications.

Qualifications

• 8-15+ yrs strategy/management consulting, with 3+ yrs AI/digital transformation experience.
• Technical fluency in AI/ML architectures, model types, and data requirements.
• Experience designing AI operating models, governance charters, and funding/chargeback mechanisms.
• Familiarity with AI maturity models and capability diagnostic frameworks.

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.
• Coach client sponsors on how to champion AI initiatives internally.
• Strong written communication — produces board-ready documents under tight deadlines.

Skills

AI strategy

Management consulting

AI/digital transformation

Portfolio prioritization

RICE framework

C-suite facilitation

Change management

Executive storytelling

AI architectures

LangChain/HuggingFace awareness

Strategic communication

Tools

Azure AI Foundry

AWS Bedrock

Google Vertex AI

PoC evaluation literacy

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