Job Summary
This hybrid night shift role focuses on product information and master data management for global order management and trading operations requiring eight to ten years of experience. The candidate will optimize data quality streamline order processes and align product data with retail order workflows to improve operational efficiency and customer outcomes while supporting complex enterprise systems.
Responsibilities
- Drive end to end product information and master data management initiatives to ensure consistent accurate and reliable data across all order management and trading platforms supporting seamless business operations
- Manage data governance activities for product attributes customer records and transactional order data to maintain high data quality standards and reduce downstream processing errors
- Coordinate with cross functional teams such as operations technology and compliance to align product and master data structures with evolving order management and trading requirements
- Monitor and optimize data integration workflows between core order management systems and trading solutions to minimize latency improve data accuracy and support timely decision making
- Analyze complex order flows and product data relationships to identify process gaps and recommend enhancements that lead to more efficient retail order handling and reduced rework
- Implement data validation rules and operational checks within master data and order management processes to prevent data inconsistencies and enhance reliability of reporting and analytics
- Oversee documentation of data models business rules and process maps for product information and master data management to support knowledge sharing and future system enhancements
- Collaborate with teams working in night shift schedules to resolve critical data issues in real time thereby maintaining uninterrupted trading and order processing services
- Guide configuration and maintenance activities in order management modules to ensure product hierarchies pricing structures and fulfillment parameters reflect current business strategies
- Evaluate impacts of new trading features or regulatory changes on product and master data structures and plan remediation steps that maintain compliance and operational stability
- Support continuous improvement by tracking key performance indicators related to data accuracy order cycle time and error rates and by recommending targeted corrective actions
- Coordinate hybrid work model activities to maintain effective communication documentation and handovers across onsite and remote team members ensuring smooth night shift operations
- Contribute to company goals by enabling accurate data driven decision making and by improving customer experiences through reliable order processing and transparent product information
Qualifications
- Possess eight to ten years of hands on experience in enterprise order management and trading systems with a strong focus on product information and master data management practices
- Demonstrate advanced proficiency in configuring and supporting order management solutions including transaction flows fulfillment rules and exception handling tailored to complex business needs
- Bring practical exposure to retail order management scenarios covering pricing promotions catalog management and omnichannel order fulfillment supported by robust product data structures
- Apply deep understanding of master data principles including data modeling data stewardship and data lifecycle management in environments with high transactional volumes
- Utilize strong analytical and problem solving skills to investigate data discrepancies in order and trading systems and to design sustainable corrective and preventive actions
- Show capability to work effectively in hybrid and night shift settings managing stakeholder expectations and maintaining clear written communication across time zones
- Exhibit familiarity with industry best practices for data governance metadata management and data quality monitoring relevant to order management trading and retail domains
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。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
