TL-Product info & MDM

Job Summary

This hybrid night shift position centers on product information and master data management to support global order management and trading operations. The role requires eight to ten years of experience. The selected candidate will enhance data quality, streamline order execution, and ensure product data aligns with retail order workflows to increase operational efficiency and improve customer outcomes, while also supporting complex enterprise systems.

Responsibilities

Lead end to end product information and master data management initiatives to maintain consistent, accurate, and dependable data across all order management and trading platforms, enabling seamless business operations

Own data governance activities for product attributes, customer records, and transactional order data to uphold high data quality standards and reduce downstream processing errors

Partner with cross functional teams including operations technology and compliance to align product and master data structures with changing order management and trading requirements

Track and improve data integration workflows between core order management systems and trading solutions to reduce latency, strengthen data accuracy, and support timely decision making

Evaluate complex order journeys and product data relationships to detect workflow gaps and propose improvements that enable more efficient retail order processing and less rework

Develop and apply data validation rules and operational checks within master data and order management processes to prevent data inconsistencies and improve the reliability of reporting and analytics

Manage documentation for data models, business rules, and process maps related to product information and master data management to support knowledge sharing and future system enhancements

Work with teams operating on night shift schedules to resolve high priority data issues in real time, keeping trading and order processing services running without interruption

Direct configuration and maintenance activities in order management modules to ensure product hierarchies, pricing structures, and fulfillment parameters reflect current business strategy

Assess the impact of new trading capabilities or regulatory changes on product and master data structures and develop remediation plans that sustain compliance and operational stability

Drive continuous improvement by monitoring key performance indicators for data accuracy, order cycle time, and error rates, and by proposing focused corrective actions

Coordinate hybrid work model activities to maintain effective communication, documentation, and handovers between onsite and remote team members, ensuring smooth night shift operations

Support company objectives by enabling accurate data driven decision making and improving customer experiences through dependable order processing and transparent product information

Qualifications

Have eight to ten years of hands on experience in enterprise order management and trading systems, with a strong emphasis on product information and master data management practices

Show advanced capability in configuring and supporting order management solutions, including transaction flows, fulfillment rules, and exception handling designed for complex business requirements

Bring practical experience with retail order management scenarios, including pricing and promotions, catalog management, and omnichannel order fulfillment enabled by robust product data structures

Apply strong knowledge of master data concepts, including data modeling, data stewardship, and data lifecycle management, in settings with high transactional volumes

Use strong analytical and problem solving skills to investigate data discrepancies across order and trading systems and to define sustainable corrective and preventive actions

Demonstrate the ability to work effectively in hybrid and night shift environments by managing stakeholder expectations and maintaining clear written communication across time zones

Have familiarity with industry best practices for data governance, metadata management, and data quality monitoring relevant to order management, trading, and retail domains