PE-Product info & MDM

Cognizant; Chennai District; Hybrid; INR 450,000 - 650,000; Full time

Job summary

Cognizant in Chennai is seeking a hybrid night-shift Data Steward to maintain accurate product information and master data supporting order management, trading processes and logistics execution.

You will validate data quality, coordinate with cross-functional teams, and ensure reliable information flows that improve customer satisfaction and operational efficiency in a global MNC setting.

Qualifications

• Foundational experience or academic exposure to order management and trading processes.
• Understand order entry, status tracking and fulfilment flows.
• Basic logistics knowledge: warehouse activities, shipment processes and delivery confirmations.
• Familiarity with product hierarchy, pricing, availability and customer attributes.
• Review update and validate product/master data in enterprise apps.
• Strong attention to detail and analytical thinking to spot data anomalies.
• Clear written and verbal communication for cross-functional teams.

Responsibilities

• Maintain product information and master data with high accuracy.
• Validate data against business rules to prevent errors.
• Update relevant data fields and resolve data discrepancies with operations.
• Coordinate master data changes with planning and logistics for execution.
• Monitor data consistency across systems and flag issues.
• Document SOPs for data maintenance and workflows.
• Contribute to data quality improvements and validation checks.
• Prepare structured data extracts for reporting and analysis.
• Collaborate with operations, finance and customer support to align data needs.
• Ensure attributes like dimensions, weights and handling requirements are captured.
• Support night shift collaboration and remote access to data systems.
• Deliver high quality data stewardship to enhance customer trust and efficiency.

Skills

Order management

Trading processes

Logistics knowledge

Data validation

Cross-functional communication

Attention to detail

Willingness to learn

Education

Academic exposure to order management or supply chain

Tools

Enterprise applications

Order management tools

Job description

Job Summary

This hybrid night shift role focuses on maintaining accurate product information and master data to support efficient order management trading processes and basic logistics execution. The position involves validating data quality supporting order related operations and coordinating with cross functional teams to ensure reliable information flows that enhance customer satisfaction and operational efficiency while working in a global MNC environment.

Responsibilities

• Maintain product information and master data with high accuracy to ensure reliable order capture processing and trading execution across systems and teams.
• Validate incoming product and order related data against defined business rules to prevent errors that could disrupt logistics execution and customer fulfillment.
• Support day to day order management activities by updating relevant data fields and resolving basic data discrepancies in close collaboration with operations stakeholders.
• Coordinate with planning and logistics teams to ensure master data changes are reflected timely in execution processes such as picking packing and shipment preparation.
• Monitor data consistency across multiple systems and raise issues to the appropriate teams when mismatches or gaps are identified in product or order records.
• Assist in documenting standard operating procedures for product information maintenance and master data workflows to promote consistent execution in a hybrid work model.
• Contribute to continuous improvement initiatives by highlighting recurring data quality issues and suggesting practical enhancements to data validation checks.
• Support trading and order related reporting needs by preparing structured data extracts and ensuring that master data attributes are correctly populated for analysis.
• Collaborate with cross functional partners in operations finance and customer support to understand how accurate master data enables smoother end to end order processing.
• Apply basic logistics execution understanding to confirm that product and order attributes such as dimensions weights and handling requirements are correctly captured.
• Adhere to night shift schedules and collaboration practices designed for hybrid work including virtual meetings and secure remote access to data systems.
• Focus on delivering high quality data stewardship that strengthens company trust with customers and partners and contributes to more efficient use of resources.
• Align daily tasks with the company purpose of enabling reliable commerce and supply chains which supports communities by ensuring products are available when needed.

Qualifications

• Demonstrate foundational experience or academic exposure to order management and trading processes including order entry status tracking and fulfilment flows.
• Apply basic logistics execution knowledge such as understanding warehouse activities shipment processes and delivery confirmations to maintain relevant master data.
• Show familiarity with order domain concepts including product hierarchy pricing availability and customer specific attributes in a structured business environment.
• Utilize basic skills in enterprise applications or order management tools to review update and validate product and master data records effectively.
• Exhibit strong attention to detail and analytical thinking to identify anomalies in product information and order data before they impact downstream operations.
• Communicate clearly in both written and verbal formats with cross functional teams to clarify data requirements and support hybrid collaboration in a night shift context.
• Demonstrate willingness to learn global master data standards process documentation techniques and best practices relevant to a large multinational company.