Head data analytics

About JSW Motors

JSW Motors is a newly established automotive division under the
JSW Group
, one of India's most respected conglomerates. This division is focused on building a
next-generation passenger vehicle business
from the ground up, leveraging global technology partnerships and a strong foundation in manufacturing excellence.

Our mission is to
create a digitally enabled, agile, and future-ready organization
that delivers world-class products for the Indian market. This is a
greenfield initiative
, offering a unique opportunity to shape processes, culture, and systems from inception.

If you are passionate about
creating impact, building systems from scratch, and working in a fast-paced, entrepreneurial environment
, this is your chance to be part of a historic automotive transformation in India.

Job Summary:
The Head of Data, Analytics & AI will be responsible for leading the enterprise-wide data, analytics, and AI strategy for the organization. This role will define and drive the roadmap for data-driven decision-making, advanced analytics adoption, and AI/ML solutions to create business value across the automotive value chain—from product development and manufacturing to sales, aftersales, and connected mobility.

Role Purpose

To establish and mature the company's data, analytics, and AI function as a strategic enabler of digital transformation, ensuring data is managed as a key enterprise asset. The role will balance strategic leadership with hands-on execution, building capabilities that enable innovation, operational efficiency, customer experience enhancement, and competitive differentiation in the automotive sector.

Key Responsibilities

Strategic Leadership

• Define and execute the data, analytics & AI strategy in alignment with the enterprise digital roadmap.
• Drive adoption of data-driven culture across business functions, fostering data literacy and analytics mindset.
• Partner with CXOs and business leaders to identify opportunities where AI/ML and advanced analytics can deliver measurable business outcomes.
• Represent the function in key governance councils and external industry forums.

Digital & Data Excellence

• Oversee the establishment of enterprise data architecture, governance, and master data management (MDM).
• Ensure the deployment of scalable platforms for data lakes, warehouses, and real-time analytics.
• Drive AI/ML solution development for predictive maintenance, connected vehicle insights, demand forecasting, supply chain optimization, and personalized customer engagement.
• Champion the use of ethical AI, responsible data use, and compliance with regulatory requirements.

Capability Building

• Build and mentor a high-performing team including Data Scientists, Data Engineers, and Analytics professionals.
• Drive continuous skill development to stay ahead of emerging technologies (GenAI, IoT, digital twins).
• Foster strong collaboration with IT, business functions, and external ecosystem partners/startups.

Innovation & Value Creation

• Translate cutting-edge AI and analytics innovations into practical, scalable business solutions.
• Promote experimentation through pilots and proofs-of-concept, while ensuring rapid scaling of successful use cases.
• Leverage partnerships with OEMs, technology providers, academia, and startups for innovation.

Key Result Areas (KRAs)

• Development and execution of enterprise Data & AI strategy.
• Establishment of robust data governance and MDM practices.
• Successful deployment of advanced analytics and AI use cases with measurable ROI.
• Improvement in organizational data literacy and adoption of data-driven decision-making.
• Reduction in operational costs and increase in business efficiencies enabled by AI solutions.
• Team capability growth and retention of top data & AI talent.

Qualifications & Experience

• Education: Bachelor's degree in Engineering/Technology (Computer Science, IT, Electronics) with MBA or Master's in Data/Analytics/AI preferred.
• Experience: 15–17 years of progressive experience in data, analytics, and AI, with at least 5 years in a leadership role driving enterprise-level transformation.
• Industry Exposure: Experience in automotive, manufacturing, mobility, or allied sectors preferred.
• Proven track record of leading data strategy, governance, and AI/ML deployment in complex, large-scale organizations.
• Strong stakeholder management, change management, and communication skills.
• Familiarity with modern data/AI platforms (Azure, AWS, GCP) and advanced analytics tools..

Other Details

• Travel: 20–30% (suppliers, plant sites, China/global tech partners).
• Location: Corporate HQ (India) with flexibility for plant presence.

Behavioral Competencies

• Strategic Visioning & Systems Thinking – Ability to align AI and data initiatives with long-term business strategy, anticipate industry shifts, and identify future opportunities.
• Influencing & Stakeholder Management – Strong ability to influence senior leaders, manage expectations, and build coalitions across diverse functions.
• Change Leadership – Demonstrated capability to lead cultural and organizational change, fostering adoption of new digital/AI-driven ways of working.
• Collaboration & Networking – Builds trust and partnerships across internal teams, external vendors, and global ecosystems.
• Decision-Making & Problem-Solving – Balances data-driven decision-making with sound business judgment in ambiguous situations.
• Resilience & Agility – Navigates organizational complexity, adapts quickly to evolving technologies, and maintains focus under pressure.
• Innovation Mindset – Encourages curiosity, experimentation, and creative problem-solving to generate breakthrough ideas.
• People Leadership & Talent Development – Coaches, mentors, and inspires high-performing teams while promoting inclusion and diversity.

Tools/Tech Exposure

• Data Platforms & Cloud: Proficiency in cloud ecosystems such as Azure Data Services, AWS Data Lake, Google Cloud etc.
• Data Engineering: Experience with ETL/ELT frameworks
• Data Analytics & BI Tools: Familiarity with Power BI, Tableau etc and embedded analytics solutions.
• Exposure to AI/ML Frameworks & Languages
• Databases: Strong knowledge of SQL/NoSQL
• Familiarity with MDM & Governance Tools
• Emerging Tech: Working knowledge of GenAI platforms (OpenAI, Anthropic, Hugging Face), IoT integration, digital twins, and connected vehicle platforms.
• DevOps & CI/CD

Reports to: CDIO – JSW Motors

Location: Mumbai