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
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
