TL-Product info & MDM

Job Summary

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

Responsibilities

Lead end to end product information and master data management efforts to maintain consistent, accurate, and dependable data across all order management and trading platforms to support smooth business operations

Administer data governance for product attributes, customer records, and transactional order data to uphold high data quality standards and minimize downstream processing errors

Partner with cross functional groups such as operations technology and compliance to synchronize 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, increase data accuracy, and enable timely decision making

Evaluate complex order processing flows and relationships within product data to uncover operational gaps and propose improvements that result in more efficient retail order handling and less rework

Configure data validation rules and operational controls within master data and order management processes to prevent data inconsistencies and strengthen the dependability of reporting and analytics

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

Work with teams scheduled for night shift operations to resolve critical data problems in real time, ensuring uninterrupted trading and order processing services

Oversee configuration and ongoing maintenance within order management modules to ensure product hierarchies, pricing structures, and fulfillment parameters reflect current business strategies

Assess the effects of new trading capabilities or regulatory updates on product and master data structures and develop remediation plans that preserve compliance and operational stability

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

Coordinate hybrid work model activities to ensure effective communication, documentation, and handovers between onsite and remote team members for reliable night shift operations

Support organizational objectives by enabling accurate data driven decision making and improving customer experiences through dependable order processing and clear 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

Demonstrate advanced capability in configuring and supporting order management solutions, including transaction flows, fulfillment rules, and exception handling aligned to complex business needs

Provide practical experience with retail order management use cases, including pricing promotions, catalog management, and omnichannel order fulfillment, underpinned by strong product data structures

Apply a deep understanding of master data concepts, including data modeling, data stewardship, and data lifecycle management, within environments that process high volumes of transactions

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

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

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