Job Summary
This role focuses on managing product information and master data for order management and trading processes within a multinational hybrid work environment. The specialist will ensure data accuracy consistency and compliance across systems supporting night shift operations while collaborating with cross functional teams to optimize retail and order workflows and enhance customer and business outcomes.
Responsibilities
Manage end to end product information and master data setup for order management and trading systems ensuring accurate attributes codes and lifecycle status for all product records across platforms.Optimize order management workflows by analyzing trading and fulfillment data to recommend streamlined processes that reduce cycle times improve data reliability and support scalable retail operations.Monitor daily night shift data processing jobs for product and order records to identify anomalies perform root cause analysis and coordinate corrective actions to protect downstream systems and reporting.Implement robust data validation rules and quality checks for product and order master data ensuring consistency across hybrid work locations and alignment with internal governance standards.Collaborate with technology and business teams to translate order management and trading requirements into clear data models mappings and rules that support 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 ensure repeatable high quality data management practices.Coordinate change requests for product info and master data including new attributes hierarchy changes and code updates to minimize business disruption and maintain a single trusted data source.Analyze retail order patterns and data issues to propose improvements that reduce order exceptions enhance customer experience and strengthen 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 in night shift scenarios.Provide timely data insights and reports on master data health key metrics and issue trends to enable informed decisions that improve operational efficiency and business performance.Guide peers on best practices in product info and master data management by sharing practical examples that reinforce data stewardship and responsible use of information assets.Align day to day data activities with company purpose by ensuring that accurate product and order information enables transparent trading reliable supply chains and better outcomes for customers and communities.Maintain compliance with internal policies and external regulations related to product and trading data by regularly reviewing data standards and updating practices to meet evolving requirements.
Qualifications
Demonstrate strong hands on experience in order management and trading systems including configuration data handling and issue resolution over 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 solid understanding of order domain concepts such as order capture pricing allocation and settlement to ensure that product info 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 clearly with cross functional stakeholders and document technical and process details in a structured way to support hybrid work collaboration during night shifts.Demonstrate analytical skills 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 with disciplined time management and self organization to maintain high data accuracy and service quality without travel commitments.
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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