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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
