TL-Product info & MDM

Cognizant; Chennai; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Cognizant in Chennai seeks an experienced professional for a hybrid night shift role focusing on product information and master data management across global order management and trading platforms. 8–10 years of experience required to optimize data quality and streamline order processes, aligning product data with retail workflows to boost efficiency and customer outcomes.

The role involves collaborating with operations, technology, and compliance to ensure data accuracy, governance, and timely

Qualifications

• Experience in enterprise order management and trading systems focusing on product information and master data management.
• Configure and support order management solutions with transaction flows, fulfillment rules and exception handling.
• Experience with retail order management scenarios including pricing, promotions and omnichannel fulfillment.
• Strong understanding of data modeling, data stewardship and data lifecycle management.
• Analytical skills to investigate data discrepancies and design corrective actions.

Responsibilities

• Drive end-to-end product information and master data management initiatives across order management and trading platforms.
• Manage data governance activities for product attributes, customer records and transactional data.
• Coordinate with cross-functional teams to align data structures with evolving requirements.
• Monitor and optimize data integration workflows to minimize latency and improve data accuracy.
• Analyze order flows and data relationships to identify gaps and improvements.
• Implement data validation rules and checks to prevent inconsistencies.
• Oversee documentation of data models, business rules and process maps.
• Collaborate with night shift teams to resolve critical data issues in real time.
• Guide configuration and maintenance of order management modules to reflect current strategies.
• Evaluate impacts of new trading features or regulatory changes on data structures.
• Support continuous improvement by tracking KPIs related to data accuracy and order cycle time.
• Coordinate hybrid work activities to maintain communication and handovers across onsite and remote members.
• Contribute to data-driven decision making and improved customer experiences.

Skills

Data governance

Master data

Order management

Data quality

Hybrid work

Night shift

Tools

ERP systems

Job description

Job Summary

This hybrid night shift role focuses on product information and master data management for global order management and trading operations requiring eight to ten years of experience. The candidate will optimize data quality streamline order processes and align product data with retail order workflows to improve operational efficiency and customer outcomes while supporting complex enterprise systems.

Job Summary

This hybrid night shift role focuses on product information and master data management for global order management and trading operations requiring eight to ten years of experience. The candidate will optimize data quality streamline order processes and align product data with retail order workflows to improve operational efficiency and customer outcomes while supporting complex enterprise systems.

Responsibilities

• Drive end to end product information and master data management initiatives to ensure consistent accurate and reliable data across all order management and trading platforms supporting seamless business operations
• Manage data governance activities for product attributes customer records and transactional order data to maintain high data quality standards and reduce downstream processing errors
• Coordinate with cross functional teams such as operations technology and compliance to align product and master data structures with evolving order management and trading requirements
• Monitor and optimize data integration workflows between core order management systems and trading solutions to minimize latency improve data accuracy and support timely decision making
• Analyze complex order flows and product data relationships to identify process gaps and recommend enhancements that lead to more efficient retail order handling and reduced rework
• Implement data validation rules and operational checks within master data and order management processes to prevent data inconsistencies and enhance reliability of reporting and analytics
• Oversee documentation of data models business rules and process maps for product information and master data management to support knowledge sharing and future system enhancements
• Collaborate with teams working in night shift schedules to resolve critical data issues in real time thereby maintaining uninterrupted trading and order processing services
• Guide configuration and maintenance activities in order management modules to ensure product hierarchies pricing structures and fulfillment parameters reflect current business strategies
• Evaluate impacts of new trading features or regulatory changes on product and master data structures and plan remediation steps that maintain compliance and operational stability
• Support continuous improvement by tracking key performance indicators related to data accuracy order cycle time and error rates and by recommending targeted corrective actions
• Coordinate hybrid work model activities to maintain effective communication documentation and handovers across onsite and remote team members ensuring smooth night shift operations
• Contribute to company goals by enabling accurate data driven decision making and by improving customer experiences through reliable order processing and transparent product information

Qualifications

• Possess eight to ten years of hands on experience in enterprise order management and trading systems with a strong focus on product information and master data management practices
• Demonstrate advanced proficiency in configuring and supporting order management solutions including transaction flows fulfillment rules and exception handling tailored to complex business needs
• Bring practical exposure to retail order management scenarios covering pricing promotions catalog management and omnichannel order fulfillment supported by robust product data structures
• Apply deep understanding of master data principles including data modeling data stewardship and data lifecycle management in environments with high transactional volumes
• Utilize strong analytical and problem solving skills to investigate data discrepancies in order and trading systems and to design sustainable corrective and preventive actions
• Show capability to work effectively in hybrid and night shift settings managing stakeholder expectations and maintaining clear written communication across time zones
• Exhibit familiarity with industry best practices for data governance metadata management and data quality monitoring relevant to order management trading and retail domains