Team Lead - Data Transformation And Management
Data Science Analytics & Machine Learning
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Job Description
Job Summary
HYBRID ROLE
The Team Lead Data Transformation and Management develop and delivers supply chain analytics that span functions and Business Units, enabling insights into throughput time, lead time, delivery performance, logistics, working capital, and order management. This role makes data-driven recommendations to improve profitability, customer service, and inventory performance. This position also leads to data integrity, reporting development, and supply chain improvement initiatives.
Key Responsibilities
Supply Chain Analytics & Reporting
- Develop supply chain analytics that provide visibility to operational performance, trends, and improvement opportunities.
- Build and enhance reporting capabilities for key Supply Chain KPIs.
- Ensure data integrity, validation, and consistency across analytics, dashboards, and reports.
- Conduct internal and external benchmarking studies to identify best practices.
- Lead and participate in Six Sigma, supply chain, and data transformation improvement projects.
- Apply common processes, tools, and information systems to standardize supply chain analysis.
- Create basic supply chain models for scenario analysis and What-If simulations.
- Provide financial analysis to support decision-making, trade-off evaluations, and improvement recommendations.
- Leverage business systems and analytics platforms to develop repeatable, scalable, and capable reporting solutions.
- Support the development and execution of analytical frameworks aligned with strategic supply chain objectives.
- Drive consistency in master data, materials planning parameters, and data structures that support supply chain performance.
Competencies
Leadership & Collaboration
- Collaborates Builds strong partnerships to achieve shared goals.
- Communicates Effectively Tailors messages to diverse audiences.
- Customer Focus Delivers customer-centric solutions and insights.
- Drives Results Consistently achieves goals under varying conditions.
- Ensures Accountability Holds self and team members accountable.
- Global Perspective Approaches challenges with a holistic, global view.
- Values Differences Leverages diverse perspectives and talents.
- Optimizes Work Processes Applies efficient, standardized approaches.
- Plan for Every Part (PFEP) Applies PFEP in planning, data management, material flow, and logistics optimization.
- Analysis & Troubleshooting Extracts, transforms, models, and interprets data to support decision-making.
- Material Planning Uses BI dashboards, planning tools, and analytics to assess availability, inventory, and root causes.
- Materials KPI Management Interprets KPIs, identifies gaps, and drives improvement while balancing trade-offs.
- Bachelors degree from an accredited college, university, or equivalent required.
- Compliance-related licensing may be required for export controls and sanction regulations.
- 35 years of relevant experience , preferably within supply chain analytics, data management, or operations.
- Strong analytical, problem-solving, and continuous improvement mindset.
- Proficiency with BI tools, data modeling, and KPI reporting.
- Understanding of supply chain functions (planning, logistics, inventory, manufacturing) preferred.
- Experience using SQL, ETL tools, or data integration technologies is an added advantage.
Additional Qualifications for Internal Candidates
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- Ability to review business requests and understand expected technical solutions.
- Break down requests into complete design workflows and data flows.
- Create user stories that deliver tangible business value within each sprint.
- Independently manage tasks in Jira and update solution designs and analysis templates.
- Guide and support junior team members in understanding solution workflows and design steps.
- Lead and mentor team members in day-to-day technical activities.
- Expertise in ETL technologies (SSIS) and experience building scalable data pipelines.
- Advanced SQL/T-SQL proficiency for data extraction, transformation, and modeling.
- Experience with Visual Studio SSIS, including upcoming migration to Azure Data Factory (2026 plan).
- Exposure to cloud technologies (Azure, Azure Data Factory, ADLS).
- Ability to enhance and maintain Power BI reporting and capabilities.
- Knowledge of SQL Server integrations and database development best practices.
- Good understanding of SSAS (Analysis Services, analytical models) and readiness to support cloud upgrades.
- Prior experience designing robust, sustainable analytical or integration solutions.
- Good to have Knowledge of manufacturing and supply chain functions.
Organization Cummins Inc.
Role Category On-site with Flexibility
Job Type Exempt - Experienced
ReqID 2422814
Relocation Package Yes
100% On-Site No
Skills
Data IntegrationData IntegrityData ModelingEtlData ExtractionProcess OptimizationSsasAnalyticsData ManagementSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Cummins is a place big enough to coach and develop a global workforce and create the world’s leading clean engine technology. We’re also small enough for you to find your fit and personal passion with a team of dependable, innovative thinkers who are developing their careers within a diverse, inclusive, empowering environment. Cummins Inc., a global power technology leader, is a corporation of complementary business units that design, engineer, manufacture, distribute, and service engines and related technologies, including fuel systems, controls, air handling, filtration, emission solutions, and electrical power generation systems.
Headquartered in Columbus, Indiana, we employ over 58,000 people worldwide and serve customers in approximately 190 countries and territories through a network of more than 600 company-owned and independent distributor locations and approximately 7,400 dealer locations. Cummins had a net income of nearly $1 billion and revenues of $20.4 billion in 2017.
Cummins in India designs, manufactures, distributes and services diesel and alternative fuel engines from 2.8 to 95 liters, diesel and alternative-fueled power generator sets of up to 3000 kW (3750 kVA), as well as related components and technology.
Part of the US $23.6 billion Cummins Inc., Cummins in India serves customers through our network of 3 Generator Original Equipment Manufacturers (GOEMs), 21 dealerships and more than 120 dealership branch offices in India
Important dates & deadlines?
Application Deadline
30 Mar 26, 02:08 PM IST
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Team Lead - Data Transformation And Management
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