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Job Overview

This role helps SDS and its clients to move from AI experimentation to enterprise-scale impact — assessing maturity, shaping the use-case portfolio, defining transformation roadmaps and operating models, and driving adoption. Based in the AI CoE, the consultant multiplexes to Data & AI Service Line engagements, combining diagnostic rigor, transformation planning, and executive stakeholder engagement.

Key points

  1. Design and maintain AI maturity assessment frameworks spanning strategy, data, technology, governance, operating model, adoption, risk, and value.

  2. Conduct maturity assessments across business units, functions, and regions; benchmark current state and identify gaps against target-state capabilities.

  3. Identify, shape, and prioritise AI use cases — including GenAI and agentic solutions — based on value, feasibility, data readiness, risk, and scalability.

  4. B.E/B.Tech/MCA/PhD or equivalent Qualification.

  5. Strong grasp of the AI/ML and GenAI landscape, adoption challenges, Scaling PoCs to production.

  6. Experience with maturity/capability frameworks and assessments, operating model design, and transformation roadmap development.

  7. Proven ability to build business cases, value models, and ROI narratives that secure investment.

  8. Exposure to MLOps, Responsible AI and AI Governance.

Skills

RoadmappingGenerative AIStakeholder ManagementMachine LearningMLOpsInterviewingCommunication

Experience: Mid-level · 10–12 years · Job type: Full-time

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