Purpose of the Role

The role will partner with Purchase & Supplier Quality (P&SQ;) to identify, design, deploy and scale secure digital, data, automation, AI and machine-learning solutions that improve business outcomes, user experience and process effectiveness in line with business objective of AI native supply chain.

- Own the digital and AI/ML transformation roadmap for assigned P&SQ; processes in alignment with CVBU priorities and PMT IT architecture, cyber-security, and data standards.
- Translate business challenges into structured use cases, product requirements, process designs, data requirements, and measurable value cases.
- Lead the end-to-end lifecycle from discovery, prioritisation, and proof of concept through solution design, testing, production deployment, adoption, support, and continuous improvement.
- Deploy AI/ML, analytics by use of Power BI or other apps, and intelligent automation solutions in business workflows, with appropriate human oversight and integration into enterprise systems.
- Establish governance for data quality model validation, security, privacy, explainability, bias, auditability, access control, and responsible use of AI.
- Define and track product outcomes including user adoption, cycle-time reduction, productivity, quality compliance, cost savings, model performance, and realised business benefits.
- Coordinate with cross-functional teams comprising business process owners, data teams, developers, cyber-security, infrastructure, vendors, and implementation partners.
- Standardise and continuously improve P&SQ; policies and processes using benchmarking, process mining, analytics, and digital best practices.
- Build digital capability within P&SQ; through training, change management, user support, knowledge assets, and communities of practice.

Job Responsibility

• Develop and maintain a prioritised portfolio and multi-year roadmap for digital, analytics, automation and AI/ML initiatives across P&SQ.;
- Conduct user research and process assessment; prepare business requirement documents, user stories, acceptance criteria, solution options and business cases.
- Build a funnel of high-value use cases in sourcing, supplier quality , supplier risk, delivery, cost, warranty, compliance, knowledge management and user productivity.
- Coordinate data preparation, feature engineering, model development, testing, validation and business-user acceptance with data science and engineering teams.
- Lead production deployment and integration of predictive ML, optimisation, computer vision, natural-language processing and generative AI solutions with approved enterprise platforms.
- Collaborate with CV Purchase and SQ functions and other stakeholders to define functional and non-functional requirements, solution architecture, interfaces and deployment approach.
- Ensure interoperability with SAP, supplier platforms, Microsoft 365, workflow tools, data platforms, APIs and approved cloud/on-premise services.
- Coordinate development, configuration,



integration, testing, cutover, release, support transition and service-management activities.
- Maintain documentation including architecture decisions, process maps, data lineage, operating procedures, support model and knowledge articles.
- Conduct privacy, cyber-security, legal, intellectual-property, third-party and responsible-AI reviews in accordance with company policy.
- Maintain an inventory of AI/ML models, use cases, owners, risk classifications, approvals, versions and monitoring status.
- Define stage gates for experimentation, validation, production release, material change, incident response and retirement.
- Serve as the single point of coordination between P&SQ; process owners, enterprise data/AI teams, cyber-security, infrastructure and implementation partners.
- Facilitate design decisions, sprint reviews, steering committees, prioritisation forums and escalation resolution.
- Evaluate technology products and implementation partners through structured requirements, proof of value, architecture fit, total cost and security assessment.
- Digitise and improve policies and workflows covering sourcing, supplier onboarding, supplier performance, audits, quality , warranty, risk, compliance and supplier communication.
- Use analytics, process mining and industry benchmarking to identify bottlenecks, control gaps and automation opportunities.
- Support compliance initiatives including supplier code of conduct, terms acceptance, material declarations, conflict-mineral requirements, AUTO-ASN and supplier master/contact governance.

Stakeholder Profiles & Nature of Interactions

Internal: P&SQ; leadership and process owners; PMT IT product, architecture, application-development, infrastructure and service teams; enterprise data and AI teams; cyber-security; legal, finance, HR, sustainability, ERC, manufacturing, quality and other business functions.

External: Technology OEMs, cloud and platform providers, system integrators, analytics/AI partners, consultants, audit agencies and suppliers.

Nature of interactions: Requirement discovery, product prioritisation, solution design, governance review, project delivery, issue resolution, adoption, capability building and performance review.

Desired Candidate Profile

Education: BE/BTech in Computer Science, Information Technology, Electronics, Mechanical, Production or a related engineering discipline

- Relevant experience in digital product management, enterprise IT delivery, analytics, automation or AI/ML-enabled transformation , and use of Power BI.




- Demonstrated experience converting business problems into requirements and deploying solutions through cross-functional teams.
- Working understanding of AI/ML lifecycle, generative AI, data engineering, APIs, enterprise architecture, cloud concepts.
- Strong analytical, communication, facilitation and senior-stakeholder management skills.
- Ability to balance business value, user needs, technical feasibility, risk and total cost of ownership ,knowledge of P≻ processes will be an added advantage
- Certifications in project management, cloud, data analytics, AI/ML, Agile or IT service management will be an added advantage.

Skills & Competencies

SAP Materials Management

Knowledge of Power BI apps

AI/ML and Generative AI Use-Case Deployment

Enterprise Application and API Integration

Knowledge on Cyber-security

Use of Microsoft Co Pilot

Tata Motors is an Equal Opportunity Employer, committed to a fair and transparent hiring process. All recruitment decisions are based strictly on Merit, Role alignment, and Business requirements. It does not solicit or accept any form of payment or gratuity from candidates at any stage of the recruitment process. Any such request received should be considered fraudulent and reported immediately.

About Tata Motors:

Part of the USD 180 billion Tata group, Tata Motors Limited (BSE: 500570; NSE: TATAMOTORS), a USD 52 billion organization, is a leading global automobile manufacturer of cars, utility vehicles, pick-ups, trucks, and buses, offering an extensive range of integrated, smart, and e-mobility solutions. With ‘Connecting Aspirations’ at the core of its brand promise, Tata Motors is India’s market leader in commercial vehicles and ranks among the top three in the passenger vehicles market.

Tata Motors strives to bring current products that captivate the imagination of GenNext customers, fuelled by state-of-the-art design and R&D; centres located in India, the UK, the US, Italy, and South Korea. By focusing on engineering and tech- enabled automotive solutions catering to the future of mobility, the company’s innovation efforts are focused on developing pioneering technologies that are both sustainable and suited to the evolving market and customer aspirations. The company is pioneering India's Electric Vehicle (EV) transition and driving the shift towards sustainable mobility solutions by developing a tailored product strategy, leveraging the synergy between Group companies and playing an active role in liaising with the Government of India in developing the policy framework.

With operations in India, UK, South Korea, Thailand and Indonesia, Tata Motors markets its vehicles in Africa, the Middle East, Latin America, Southeast Asia, and the SAARC countries. As of March 31, 2025, Tata Motors’ operations include 93 consolidated subsidiaries, two joint operations, four joint ventures, and numerous equity-accounted associates, including their subsidiaries, over which the company exercises significant influence.

📌 Senior Manager-CVBU P&SC Process, Methods and Tools-CVBU Purchase & Supply Chain-TMCV (Pune)
🏢 TataMotors
📍 Pune