Data Governance Team Lead - Telematics

Overview

Lead data governance initiatives that improve the quality, metadata, standardization and usability of Caterpillar connected-product data, including telematics, engineering and diagnostic data.

What you'll do

• Lead initiatives that establish consistent definitions, ownership, standards and governance for connected-product data.
• Define and improve processes for data quality, metadata, lineage, stewardship, retention and lifecycle management.
• Help establish authoritative definitions and common data models across engineering and digital systems.
• Define measurable data-quality expectations and drive resolution of systemic data-quality issues.
• Ensure business and engineering context is captured alongside technical data definitions.
• Work with teams responsible for telematics, equipment configuration, asset characterization and other sources of connected-product data.
• Improve consistency between machine-generated data and the information consumed by engineering, analytics, condition monitoring, digital products and AI.
• Coordinate improvements to data configuration, validation and deployment processes.
• Identify opportunities to automate manual data-governance and data-quality activities.
• Help transform important datasets into clearly defined, reusable data products with known ownership, quality expectations, documentation and interfaces.
• Improve metadata and cataloging so users can determine what information exists, what it means, where it originated and how it should be used.
• Partner with enterprise data-platform and governance teams to connect engineering data with Caterpillar-wide data standards and tooling.
• Help establish data structures and governance practices that support analytics, machine learning, Generative AI and agentic AI applications.
• Lead complex cross-functional data initiatives from problem definition through implementation and adoption.
• Develop project scope, priorities, roadmaps, milestones and success measures.
• Coordinate engineers, data specialists, architects, product teams and business stakeholders across multiple organizations.
• Identify dependencies, technical risks and organizational barriers and drive them to resolution.
• Communicate project status, technical decisions and recommendations to stakeholders and leadership.
• Mentor team members and strengthen data-governance and data-engineering capabilities across the organization.

What you'll need

• Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or another related technical discipline.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to influence across organizational boundaries.
• Experience with data governance, metadata management, master/reference data, data catalogs or data product management.
• Experience with telematics, IoT, connected products, industrial data or engineering data.
• Experience with enterprise data catalogs such as Alation or comparable metadata/catalog platforms.
• Experience with data pipelines, APIs, SQL, Python, cloud data platforms or modern data engineering.
• Experience with AI/ML data requirements and governance of data used by Generative AI and agentic systems.
• Experience working with globally distributed engineering and data teams.

Details

• Location: Chennai, Tamil Nadu.
• Relocation: Domestic.
• Work from office 5 days a week.