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S&C Global Network - AI - Public Services- Consultant

30+ days ago 2026/07/03
Other Business Support Services
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Job description

Job Title: Consultant – Data & AI



Department: Public Service Data & AI – Growth Network



Location: Mumbai, Bangalore, Gurgaon



Reporting To: Manager/Senior Manager Data & AI



Job Summary



We are seeking an experienced Data & AI Consultant to lead and deliver client-facing projects focused on data strategy, AI adoption, and analytics transformation. The ideal candidate has a strong foundation in data engineering, analytics, machine learning, stakeholder management, and project delivery. This role requires the ability to translate business problems into data-driven solutions and manage end-to-end project lifecycle while collaborating with cross-functional teams.



Key Responsibilities



Client Engagement & Project Management



  • Lead end-to-end delivery of Data & AI consulting engagements.
  • Act as primary point of contact for client stakeholders and executives.
  • Understand business requirements and convert them into technical roadmaps.
  • Manage project planning, timelines, budgets, and risk mitigation.
  • Drive workshops, requirements sessions, demos, and client presentations.
  • Ensure project quality, governance, and successful business outcomes.

Data & AI Solutioning



  • Define data and AI strategy, architecture, and implementation approach.
  • Conduct data assessments, maturity analysis, and technology recommendations.
  • Design and develop data pipelines, data models, dashboards, or ML prototypes (as needed).
  • Support development and deployment of AI/ML models or generative AI applications.
  • Apply best practices for data governance, security, and responsible AI.

Technical Leadership (Hands-on or Oversight)



  • Guide technical teams (data engineers, analysts, ML engineers) in solution delivery.
  • Review architecture, data models, and AI model performance.
  • Support POCs and MVPs to validate solution feasibility.

Business Consulting & Value Delivery



  • Identify business problems and opportunities to drive data-enabled transformation.
  • Develop business cases, ROI calculations, and adoption frameworks.
  • Support change management, enablement, and AI literacy initiatives.


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