Career Area:

Technology, Digital and Data

Job Summary

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

The Operations & Data Support Manager is responsible for leading end-to-end application, platform, and data operations support for the Modern Manufacturing Digital Platform (MMDP). This role ensures high availability, reliability, performance, and data quality across manufacturing digital systems.

The role drives operational excellence by integrating application support, platform reliability, and DataOps practices, and partners closely with engineering, product, data, and business teams to deliver seamless plant, factory, and enterprise digital experiences.

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

- Lead and manage day-to-day production support across application, platform, and data layers
- 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

- Act as primary escalation point for P1/P2 incidents (application, platform, and data)
- 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

- Define and implement monitoring and alerting strategies across applications and data pipelines
- Enable end-to-end observability (application + data + infrastructure)
- 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
- Ensure strong alignment across application, data, and architecture teams

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
- Solid experience in:
- Incident and problem management
- Data pipeline operations (ETL/ELT)

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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