Director Software Engineering
Caterpillar
- Location
- Bangalore Karnataka
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 106 approvals (FY2023)
- Posted
- Aug 21, 2026
Skills
About this role
Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Role
Summary Caterpillar Inc. is seeking a Director Software Engineering – Data, Analytics and AI to lead strategic engineering initiatives across digital platforms which include enterprise & telematics data ecosystems, advanced analytics, and AI‑driven products that support Caterpillar’s connected equipment, customer experience, and operational excellence goals, with a strong emphasis on translating data and analytics into scalable, decision enabling capabilities for the business. Based in India, this role reports to the in-region (India & China) leader for the Cat Digital division, and oversees teams responsible for building and scaling cloud‑native applications, data platforms, and production AI/ML (including GenAI) capabilities spanning data pipelines, quality, lineage, bias controls, and the full model lifecycle from development and deployment through monitoring, retraining, and retirement, as well as analytics solutions such as curated datasets, metrics layers, dashboards, and insight products that enable consistent, trusted business decision‑making.
Job Summary
This role will lead and scale product engineering teams in India focused on data platforms, data engineering, data solutioning, Snowflake-based data lake architectures, analytics, AI, and GenAI initiatives for Cat Digital. The leader will partner closely with global counterparts to deliver high-impact digital products and capabilities that power Caterpillar’s digital ecosystem, telematics, IoT, analytics, GenAI and AI experiences for our Customers and Dealers. The role requires strong technical depth, strategic thinking, people leadership, and a proven ability to operate in a global matrixed environment- building digital solutions delivery accountability for the following three critical areas in India. Cat Digital Platform – Data Solutioning and Data engineering as well as Data Lake solutions Data Analytics products engineering supporting Aftermarket Leads and Insights products, and Gen AI and AI specifics solutions Key Responsibilities Leadership of India Engineering Organization - Build, scale, and lead high-performing engineering teams in India across Data Platform, Data Engineering, Data Solutioning, Analytics, and AI/GenAI. Foster a culture of innovation, ownership, collaboration, and engineering excellence. Attract, grow, and retain top-tier engineering talent, building strong succession pipelines. Provide hands-on technical leadership, architectural oversight, and mentorship. Global Collaboration & Delivery - Partner with global Product, Architecture, Security, and Engineering leaders to deliver digital products aligned with Cat Digital’s priorities. Operate across time zones, ensuring seamless integration and delivery with U.S. and global teams. Drive clarity, alignment, and communication across global initiatives and roadmaps. Product Engineering & Delivery Excellence - Accountable delivery of data-centric digital products, platforms, APIs, and ML/GenAI solutions. Ensure robust software engineering practices—CI/CD, DevOps, automated testing, observability, and secure coding. Drive adoption of platform operating models, reusable components, and engineering standards across teams. Data Solutioning, Data Engineering and Data Lake - Snowflake - Architect and evolve scalable data platforms supporting telematics, IoT, asset health, services, and analytics use cases. Lead engineering