Career Area : Technology, Digital and Data

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.

Your Impact 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.

Job Summary

We are seeking a skilled Manager Digital Operations Support (Contemporary Manufacturing Digital Platform & Applications) to join MANUF & SUPPLY DIG PLAT(INDIA) - CAT IT Division.

The preference for this role is to be based out of Chennai - Brigade World Trade Centre

What you will do

This role leads 24x7 production support, platform operations, and DataOps functions, ensuring stable and scalable digital manufacturing solutions. It is accountable for incident, problem, and data pipeline operations, and plays a critical role in enabling real-time manufacturing insights, analytics, and decision-making.

Key Responsibilities

Operations, Support & Service Delivery

- Ensure adherence to SLA, SLO, and KPI metrics for incidents, service requests, and data availability




- Drive rapid incident resolution and minimize plant/business disruption
- Own overall operational health, system performance, and availability of MMDP systems

Data Operations (DataOps) & Data Reliability

- Own end-to-end DataOps processes including data ingestion, transformation, pipelines, and data quality

- Ensure availability, accuracy, and timeliness of manufacturing data pipelines :

- Lead resolution of data-related incidents , including pipeline failures and data inconsistencies

- Drive data observability, lineage, and monitoring capabilities :

- Collaborate with Data Engineering and Analytics teams to improve data reliability (SLAs) and governance

Incident & Problem Management

- Lead root cause analysis (RCA) and drive permanent fixes across systems and pipelines

- Establish structured post-incident review processes :

- Reduce MTTR through automation, predictive alerts, and proactive issue detection

Service Reliability, Monitoring & Observability

- Drive improvements in system resilience, reliability, and automation :

- Ensure proactive detection using tools, telemetry, and analytics

Team Leadership & Vendor Management

- Lead a distributed team of support engineers, SREs, and DataOps engineers :

- Define clear roles, responsibilities, and escalation paths across support tiers

- Manage vendor partners (TPL/SOW) and ensure performance, productivity,



and cost optimisation :

- Establish and manage a 24x7 global support model

Continuous Improvement & Automation

- Identify opportunities to improve efficiency through automation, AIOps, and DataOps practices :

- Develop and maintain runbooks, playbooks, and knowledge base :

- Standardise operational processes aligned with ITSM frameworks (e.g., ServiceNow) :

- Optimise incident trends, backlog management, and workflow efficiency

Cross-Functional Collaboration

- Partner with Engineering, Product, Data, and Plant stakeholders for releases and support transitions

- Support new platform rollouts, plant onboarding, and hypercare phases : Metrics, Reporting & Governance

- Track, analyse, and report key metrics:

- SLA compliance

- Incident volumes and trends

Data pipeline success rates and data quality metrics

- MTTR / MTBF
- System and data availability
- Provide insights and recommendations to improve operational and data excellence

What you will have

- Bachelor’s degree in Engineering, Computer Science, Data Engineering, or related field

- 10-15+ years in IT operations, production support, SRE, or DataOps

- 5+ years of people leadership experience

- Strong experience in:

- Incident and problem management

- Data pipeline operations (ETL/ELT, streaming, batch)

- Cloud platforms (Azure/AWS)

Preferred Skills

- Strong expertise in DataOps, data platforms (e.g., Kafka, Spark, Data Lake)

- Experience with ITSM tools (ServiceNow or equivalent)

- Solid understanding of:

- Microservices and distributed systems

- Data engineering and analytics pipelines

- Experience in DevOps, AIOps, and automation frameworks

- Proven experie

📌 Manager Digital Operations Support (Modern Manufacturing Digital Platform & Applications) (Chennai)
🏢 Caterpillar
📍 Chennai