Data & AI Lead

Job Description

Data \& AI Lead

• *Requisition ID:** 5065

• *Job Location:** Gurgaon \- India

• *Category for Job Posting:** Digital and Information Technology

• *Job Type for Job Posting:** Full Time

• *Working Mode for Job Posting:** Fully On\-Site

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About Us

Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.

From developing products that run on alternative power to productivity\-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.

Grow a Career. Build a Future!

Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

Job Purpose

The Data \& AI Lead will define, lead, and execute enterprise Data, Analytics, Business Intelligence, and Artificial Intelligence initiatives across business functions.

This role is responsible for leading a multidisciplinary team of Data Engineers, AI Engineers, and Power BI Developers to deliver scalable data platforms, advanced analytics solutions, enterprise reporting capabilities, automation, and AI\-powered business outcomes. The role focuses on establishing technical standards, driving innovation, ensuring delivery excellence, and maximizing business value from Microsoft Data \& AI technologies.

Key Responsibilities

Lead and manage a team of AI Engineers, Data Engineers, and Power BI Developers, providing technical leadership, mentoring, and career development.

Collaborate with business stakeholders, architects, product owners, and technology teams to identify opportunities for analytics, automation, predictive insights, and AI\-driven decision making.

Define and execute the Data \& AI roadmap aligned with business priorities and digital transformation objectives.

Oversee the design, development, deployment, and support of enterprise data platforms, reporting solutions, AI applications, and analytics products.

Drive adoption of Microsoft Data \& AI technologies including Azure Data Bricks, Azure Synapse, Power BI, Azure AI Services, and Copilot technologies.

Establish and govern enterprise standards for data architecture, data engineering, reporting, analytics, AI development, security, and operational excellence.

Lead delivery of initiatives from ideation to deployment, ensuring solution scalability, reliability, performance, and business adoption.

Implement DataOps, MLOps, AI governance, and monitoring practices to ensure sustainable and compliant operations.

Drive continuous improvement, innovation, and technical capability development across the Data \& AI organization.

Stakeholder management and executive communication skills with the ability to translate complex technical concepts into business value.

Experience Required

8\+ years experience in leading Data \& AI Teams

Strong expertise in Microsoft Data \& Analytics technologies including Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, Dataverse, and enterprise data integration solutions.

Hands\-on experience designing and implementing enterprise data platforms, ETL/ELT pipelines, data warehouses, lakehouse architectures, semantic models, and analytics solutions.

Expertise in Power BI including data modeling, DAX, Power Query, performance optimization, deployment pipelines, governance, administration, and enterprise reporting best practices.

Experience developing and deploying AI and Machine Learning solutions using Azure Machine Learning, Azure AI Services, Azure OpenAI, Cognitive Services, and related Microsoft AI capabilities.

Strong proficiency in Python, SQL, data engineering frameworks, and machine learning development practices.

Strong understanding of Generative AI, Copilot technologies, Agentic AI, Retrieval Augmented Generation (RAG), Prompt Engineering, AI Agents, Semantic Search, and Vector Database concepts.

Experience with Microsoft Copilot Studio, Power Platform, Power Automate, and enterprise automation solutions.

Knowledge of Azure cloud architecture, API integrations, enterprise security, identity management, data governance, responsible AI, and compliance standards.

Proven experience leading cross\-functional teams while providing technical direction, solution architecture oversight, and delivery governance.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science.

What We Offer

At CNH, our people are at the heart of everything we do. That’s why we offer a comprehensive benefits program designed to support your health, well\-being, and long\-term success. From competitive compensation to flexible work arrangements and opportunities for continuous development, our benefits reflect our commitment to creating an environment where employees feel supported and empowered—both personally and professionally. We believe that when you’re given the tools to thrive, you can drive meaningful impact. At CNH, you’ll not only find the resources to succeed today—you’ll find the foundation to grow a career and build a future.

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