Lead AI Transformation

Please Note: We are hiring for an AI company in Mumbai on there payroll - permanent hiring

Role: Lead AI Transformation

(Reporting to: CIO / Head AI)

Role Purpose

The Lead - AI Transformation will partner closely with the CIO to drive the design and execution of AI-led initiatives across Sales, Manufacturing, and Logistics, translating business priorities into scalable, value-driven outcomes.

Key Responsibilities

1. Sales Optimization (Commercial AI Use Cases)

• Lead AI initiatives across:
• Demand forecasting and sales planning
• Customer segmentation and churn prediction
• Sales force effectiveness and beat optimization
• Channel-wise and SKU-wise profitability analytics
• Pricing and discount optimization
• Work with Sales, Marketing and Plant heads and Logistics teams to convert business problems into AI/ML use cases.
• Ensure models are interpretable, actionable, and trusted by business teams.

2. Shopfloor & Manufacturing Optimization

• Lead AI/Advanced Analytics initiatives for:
• Predictive maintenance of machines and utilities
• Scrap, and rejection reduction
• Process parameter optimization (extrusion, moulding, compounding, etc.)
• Energy optimization and OEE improvement
• Quality prediction and root cause analysis
• Work closely with Plant Heads, Production, Quality, and Maintenance teams.
• Integrate OT data (PLC, SCADA, MES) with IT and analytics platforms.
• Ensure AI recommendations are embedded into daily shopfloor decision-making, not just dashboards.

3. AI Program Execution & Governance

• Own end-to-end delivery of AI use cases:
• Business case Data readiness Model development Deployment Adoption Value realization
• Define AI project prioritization, roadmap, and success metrics (ROI, productivity, cost savings).
• Partner with system integrators, AI vendors, startups, and academia as required.

4. Change Management & Capability Building

• Act as a translator between business, data science, and IT teams.
• Drive user adoption through training, workshops, and simplified storytelling of AI outcomes.
• Help build internal AI capability by mentoring analysts, engineers, and business users.
• Support the CIO in executive presentations and promoter-level reviews on AI progress.

Required Qualifications & Experience

Education

• Engineering degree (B.Tech / BE) Mechanical, Production, Electrical, Chemical, or Computer Science preferred
• MBA or Masters in Analytics / Data Science desirable Experience
• 1015 years of experience in:
• Manufacturing analytics, digital transformation, or advanced analytics roles
• At least 46 years working on AI / ML / Advanced Analytics use cases
• Strong exposure to:
• Discrete or process manufacturing environments
• Sales analytics, demand planning, or commercial excellence (preferred)

Technical & Functional Skills

AI & Analytics

• Strong understanding of ML concepts (regression, classification, forecasting, optimization)
• Knowledge of Python/R, SQL, and analytics platformsManufacturing Systems
• Good understanding of:
• MES, SCADA, PLC data
• OEE, TPM, Six Sigma, Lean manufacturing concepts

Business Skills

• Ability to convert vague business problems into structured AI use cases
• Strong storytelling and executive communication skills
• Comfort working with senior leadership and shopfloor teams alike

Key Success Metrics (KPIs)

• % of AI use cases moved from pilot to production
• Measurable sales uplift, margin improvement, or working capital reduction
• Reduction in downtime, scrap, energy consumption, and quality losses
• Adoption of AI insights in business and operational reviews

Ideal Candidate Profile

• A business-first AI leader, not a pure technologist
• Equally comfortable on the shopfloor and in the boardroom
• Pragmatic, execution-focused, and value-driven
• Passionate about turning data into decisions and decisions into results