SME-Product info & MDM

Job Summary

This position is responsible for managing product information and master data that support order management and trading processes in a multinational hybrid work environment. The specialist will ensure data accuracy, consistency, and compliance across systems used to enable night shift operations. Working closely with cross-functional teams, the role aims to optimize retail and order workflows and improve customer and business outcomes.

Responsibilities

Manage the end-to-end setup of product information and master data for order management and trading systems, ensuring accurate attribute codes and lifecycle status for all product records across platforms.

Improve order management workflows by analyzing trading and fulfillment data to propose streamlined processes that reduce cycle times, enhance data reliability, and support scalable retail operations.

Oversee daily night shift data processing jobs for product and order records to detect anomalies, perform root cause analysis, and coordinate corrective actions to safeguard downstream systems and reporting.

Build and apply robust data validation rules and quality checks for product and order master data to ensure consistency across hybrid work locations and alignment with internal governance standards.

Partner with technology and business teams to convert order management and trading requirements into clear data models, mappings, and rules that enable seamless execution and reporting.

Document master data procedures for product onboarding, order lifecycle updates, and trading events to provide clear guidance for operations teams and support repeatable, high-quality data management practices.

Coordinate change requests for product information and master data, including new attribute hierarchy changes and code updates, to minimize business disruption and maintain a single trusted data source.

Analyze retail order patterns and data issues to recommend improvements that reduce order exceptions, enhance customer experience, and reinforce the company mission of delivering reliable services to society.

Support integration testing for enhancements to order management and trading platforms by validating master data behavior and confirming that product and order flows operate as expected during night shift scenarios.

Deliver timely data insights and reports on master data health, key metrics, and issue trends to support informed decisions that improve operational efficiency and business performance.

Coach peers on best practices in product information and master data management by sharing practical examples that strengthen data stewardship and responsible use of information assets.

Ensure day-to-day data activities align with company purpose by confirming that accurate product and order information supports transparent trading, reliable supply chains, and improved outcomes for customers and communities.

Maintain compliance with internal policies and external regulations related to product and trading data by routinely reviewing data standards and updating practices to reflect evolving requirements.

Qualifications

Demonstrate strong hands-on experience in order management and trading systems, including configuration data handling and issue resolution, with four to seven years in similar roles.

Apply practical knowledge of retail order processes and order management retail concepts to design master data setups that support promotions, returns, and complex fulfillment scenarios.

Use strong understanding of order domain concepts, including order capture, pricing, allocation, and settlement, to ensure that product information and master data structures enable end-to-end process integrity.

Exhibit proficiency in master data management tools, relational databases, or enterprise resource planning platforms to maintain large product catalogs and order-related reference data.

Communicate effectively with cross-functional stakeholders and document technical and process details in a structured manner to support hybrid work collaboration during night shifts.

Demonstrate analytical ability and attention to detail when working with complex trading and order datasets, using problem-solving techniques to prevent recurring data issues.

Show adaptability to hybrid work and night shift requirements through disciplined time management and self-organization to maintain high data accuracy and service quality without travel commitments.