Cummins

IT Service Delivery Leader - Senior

Location Pune, Maharashtra, India
Experience 3-5 yrs
Job type Full-time
Posted 8 Oct 2026
Qualification Bachelor's

You will be taken to Cummins’s own careers page to apply. Job ID 2435915.

Job description

Job Summary: Responsible for the management, operations, delivery and support of defined IT applications and/or infrastructure services; directs and coordinates the efforts of people to accomplish goals and objectives using available resources.

Key Responsibilities: Contributes to the delivery and support of specific IT services. Supports the development and maintenance of services and ensures that tools and resources are capable and available (i.e. IT Service Catalog, Asset Management system) Generates and reports service delivery metrics and drives standards across regions and locations (i.e. Scorecards, Service Level Agreement (SLAs) and Customer Satisfaction or Net Promoter Scoring). Acts as a point of contact for customers for service related inquiries and maintains relationships with key customers and suppliers. Is familiar with SLA / Operational Level Agreements between other IT Services Provided. Encourages root cause analysis using the formal problem solving approach for recurring issues. Champions the use of Six Sigma to reduce costs and improve processes. Identifies opportunities for service improvements, discuss with the customer and raise the request for change for assessment if appropriate Maintains the accuracy of service related standards, procedures and work instructions in a knowledge management system. Able to support the Service Owner when needed. Champions the use of ITIL Standards for IT Service Deliverables Maintain strong relationships to deliver business value using relevant Business Relationship Management practices.

Responsibilities

Competencies: Financial acumen - Interpreting and applying understanding of key financial indicators to make better business decisions.

Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders.

Customer focus - Building strong customer relationships and delivering customer-centric solutions.

Global perspective - Taking a broad view when approaching issues, using a global lens.

IT Supplier Relationships - Leverages a vendor management framework to manage strategic supplier relationships and supplier performance based on business need throughout the contract life using the required processes and tools to control costs, drive service excellence, mitigate risks, and gain increased value from the suppliers.

Request Fulfillment - Manages a service request through its life cycle with efficiency and professionalism using the required processes and tools to maintain customer satisfaction.

Service Asset and Configuration Management - Manages service assets and configuration items by maintaining accurate configuration records to support other service management processes with documented and verifiable information.

Service Catalog Management - Maintains a service catalog that contains all details of active and approved services in service operations using the required processes and tools to provide clear and relevant information to users.

Service Level Management - Ensures the quality of the services delivered meet agreed levels using the required processes and tools in order to maintain customer satisfaction.

Troubleshooting - Diagnoses and resolves the customer-identified issue by utilizing appropriate department standards to satisfy customer expectations.

Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented.

Values differences - Recognizing the value that different perspectives and cultures bring to an organization.

Education, Licenses, Certifications: College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.

Experience: Intermediate level of relevant work experience required. 3-5 years of experience.

Requirements

Core Responsibilities Unique to the Role *** Establish scalable operating models for enterprise data products by defining support, reliability, and sustainment practices that enable data products to be consumed consistently across analytics, applications, and AI use cases throughout their lifecycle. *** Lead data product operational excellence initiatives by partnering with Product Managers, Data Engineering Managers, and Solution Engineering teams to improve data availability, observability, quality, lineage visibility, and platform reliability across the enterprise data ecosystem.

Drive operational transparency and value realization through portfolio-level reporting of service health, data product adoption, SLA/SLO attainment, incident trends, operational risks, and business impact metrics to support prioritization and investment decisions.

Required Skills, Education, or Experience *** Experience supporting enterprise data, analytics, or platform-based solutions with accountability for operational readiness, service stability, and continuous improvement. *** Strong understanding of operational governance including service onboarding, support transitions, release readiness, incident trend analysis, and problem management. *** Ability to collaborate across Product Management, Data Engineering, Architecture, and Business teams to balance operational stability, customer experience, and product evolution. *** Experience establishing operational metrics and dashboards that provide visibility into service performance, reliability, usage patterns, and business outcomes.

Bachelor's degree in Information Technology, Computer Science, Engineering, Business, or equivalent practical experience.

Preferred (Nice to Have) Skills, Education, or Experience *** Experience supporting Data-as-a-Product, cloud data platforms, analytics ecosystems, data pipelines, or AI-ready data environments. *** Familiarity with observability platforms, data reliability engineering practices, data quality frameworks, lineage solutions, and automated monitoring capabilities.