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Artificial Intelligence Consultant

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Hybrid

Artificial Intelligence Consultant

Cyient

Artificial Intelligence Consultant

Skills

Sales OpsAICRMZoho CRMSAP ERPSupply ChainDigital TransformationChief Strategy Officer

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

18 September 2026

What they need


Position: AI Transformation Leader

Reports To: CSO

Function / CoE: AI Centre of Excellence (CoE) Lead

Industry: Electronics Manufacturing Services

Level: Senior Director / VP

Mandate: Own the enterprise AI roadmap, platform and adoption end-to-end

Position Summary:

The AI Transformation Leader is accountable for taking Cyient DLM from an application-led organization to an AI-native enterprise. The role owns the transformation roadmap, the orchestration platform strategy, and the adoption agenda across demand planning, MRP, ERP, CRM, supply chain and finance. This is a business-outcome role measured on realized revenue, margin, working-capital and productivity impact not a technology-deployment role.

Key Responsibilities

  • Own and sequence the multi-year AI-native roadmap and its phased investment plan.
  • Establish and lead the AI Center of Excellence (CoE) across product, data, engineering and governance.
  • Prioritize agent use cases (RFQ, supply chain, program management, scheduling, executive copilot) by ROI.
  • Chair the working team spanning Sales Ops, Bid Ops, IT, SAP, Kinaxis and Zoho administrators.
  • Secure business sponsorship and drive adoption; retire manual, Excel-driven workflows.
  • Report transformation KPIs, value realized and risks to the Board and executive staff.

Ideal Profile

  • 15+ years spanning manufacturing operations / supply chain and digital transformation.
  • Proven delivery of enterprise AI or large ERP/planning transformations at scale.
  • Fluency across SAP S/4HANA, planning platforms (e.g., Kinaxis) and CRM ecosystems.
  • Strong executive presence; able to translate technology into P&L outcomes.

Success in 12 Months

  • Phase-1 foundation live; governance and data classification operational.
  • RFQ Agent and Executive Copilot pilots delivering measurable turnaround gains.
  • Board-approved roadmap and value-tracking dashboard in place.

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