Enterprise AI Program Manager

Tata Electronics; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading semiconductor manufacturing company in Bengaluru is seeking an experienced program leader to drive AI and GenAI adoption across enterprise systems. The candidate should have over 10 years of program management experience, with expertise in ERP environments like SAP and Oracle. Responsibilities include steering AI projects, overseeing deployment, and managing stakeholder communication. A passion for AI and manufacturing in the context of Industry 4.0 is essential.

Qualifications

• 10+ years of experience in program or project management.
• 3–5 years focused on AI or enterprise digital initiatives.
• Proven understanding of GenAI, LLMs, RAG pipelines.

Responsibilities

• Drive cross-functional programs for AI and GenAI adoption.
• Lead the lifecycle of AI solution delivery.
• Collaborate with product owners and business heads.

Skills

AI solution delivery

Stakeholder management

Program structuring

Risk management

Agile mindset

ERP systems

Education

PMP, Agile, or SAFe certification

Tools

SAP

Oracle

AWS

Azure

GCP

Job description

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Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components.

Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence.

Tata Electronics is a subsidiary of the Tata group. The Tata Group operates in more than 100 countries across six continents, with the mission 'To improve the quality of life of the communities we serve globally, through long term stakeholder value creation based on leadership with Trust.

Responsibilities:

• Drive cross-functional programs focused on AI and GenAI adoption across enterprise systems, especially ERP and manufacturing platforms
• Lead the end-to-end lifecycle of AI solution delivery, from use case identification to deployment and adoption tracking
• Collaborate with product owners, architects, and business heads to ensure strategic alignment, timelines, and outcomes
• Establish and govern program management frameworks and AI governance models tailored for regulated, high-impact domains
• Define and monitor KPIs, risk mitigation plans, and stakeholder communication strategies for AI programs
• Facilitate change management and adoption initiatives to embed AI into operational workflows across functions such as supply chain, finance, HR, and shop floor
• AI‑savvy hands‑on program leader with experience in delivering enterprise-scale AI solutions with measurable impact
• Strong stakeholder management across business, technology, and data science teams
• Excellent program structuring, risk management, and reporting capabilities
• Proven ability to drive AI solutioning in ERP‑centric environments (e.g., SAP, Oracle) and industrial settings
• Agile and adaptive mindset with the ability to manage ambiguity and drive execution clarity
• Passionate about manufacturing, digital transformation, and AI’s role in the future of Industry 4.0

Qualifications:

• 10+ years of experience in program or project management, with at least 3–5 years focused on AI or enterprise digital initiatives
• Proven understanding of GenAI, LLMs, RAG pipelines, and their enterprise use cases
• Familiarity with ERP ecosystems (SAP, Oracle, Dynamics) and AI/ML integration workflows
• Exposure to cloud platforms (AWS, Azure, GCP) and modern data architectures (data lakes/lakehouses)
• Experience working in or managing AI‑driven programs in manufacturing, semiconductors, or electronics is a strong plus
• Certification in PMP, Agile, or SAFe is desirable

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Industries

• Semiconductor Manufacturing