Job Summary
This role focuses on managing product information and master data within a complex order management and trading environment for a global organization. The specialist will ensure data quality consistency and compliance across systems enabling accurate order processing and reporting. The role requires hands on experience in order management and trading platforms with exposure to retail order flows seen as a strong advantage. Working in a hybrid model with night shifts the specialist will col
Responsibilities
Manage product information and master data across order management and trading systems to ensure accurate item setup and reliable downstream processing in daily operations.Maintain robust data validation processes to detect anomalies in product and order records and promptly coordinate resolutions that safeguard business continuity and data integrity.Collaborate with cross functional teams including operations finance and technology to define clear data standards that support consistent reporting and smooth order fulfillment.Analyze order management workflows to identify bottlenecks related to product information and master data and implement targeted improvements that enhance system efficiency.Configure and optimize product attributes and master data structures in alignment with global business rules so that trading and order systems operate with predictable outcomes.Document master data processes and product information governance guidelines to create reusable references that support training onboarding and audit readiness.Support night shift operations by monitoring critical data interfaces between trading and order management applications and performing timely corrective actions when issues arise.Evaluate impacts of product catalog changes on retail order flows and trading transactions and adjust master data setups to minimize disruption for customers and internal users.Coordinate with support teams to troubleshoot data related incidents and provide clear diagnostics that accelerate incident resolution and improve root cause analysis.Implement control checks on hybrid work arrangements to ensure that data updates performed remotely and onsite follow uniform standards and remain traceable for compliance.Contribute to continuous improvement initiatives by proposing enhanced data quality metrics and reporting that highlight trends and guide strategic decisions.Align daily tasks with the company mission by enabling accurate orders and trading records that improve customer confidence and support transparent business practices.Apply knowledge of order management retail order flows to refine product hierarchies and master data relationships so that society benefits from reliable supply chain services.
Qualifications
Demonstrate four to seven years of focused experience in order management and trading systems with strong exposure to product information and master data activities.Possess practical expertise in configuring and maintaining order management platforms ensuring that product and customer data supports seamless transaction processing.Bring working knowledge of retail order management scenarios including omnichannel transactions and returns to translate business requirements into effective master data setups.Show proficiency in data analysis techniques to assess data quality identify root causes of inconsistencies and recommend corrective actions that prevent recurring issues.Utilize sound understanding of hybrid work practices and night shift operations to manage tasks independently while maintaining effective communication with global stakeholders.Apply familiarity with enterprise resource planning and related data models to integrate product information across multiple modules in a coherent and scalable manner.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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