COCognizant Technology Solutions India Pvt Ltd
SPE-Product info & MDM
Chennai ₹4-8 LPA Posted 4 Nov 2026
FULL TIME
Master Data Management (MDM)
Order Management Systems
Product Information Management (PIM)
Product Master Data
Retail Order Management
+1 more
Job Description
Responsibilities
- Own the end-to-end management of product information and master data processes for order management systems to ensure accurate item setup, pricing availability, and trading attributes across all connected platforms and channels.
- Partner closely with order management teams to verify data inputs, monitor order lifecycle events, and resolve data-related exceptions that may affect order fulfillment timelines and customer experience.
- Enhance trading data by refining product classifications, trading rules, and transactional attributes to support streamlined processing of retail orders and enable transparent reporting of trading performance.
- Oversee nightly batch runs, interfaces, and data loads across the order management and MDM environment to proactively detect anomalies and trigger corrective actions that prevent downstream operational issues.
- Collaborate with retail order management stakeholders to evaluate data dependencies related to promotions, inventory allocation, and channel routing, and convert these needs into structured MDM configurations.
- Keep detailed documentation for product and master data models, business rules, and configurations so stakeholders can clearly understand data flows and dependencies across order and trading systems.
- Conduct routine data quality assessments for key master data entities—including customer, product, and price records—and execute remediation plans that improve accuracy, completeness, and consistency.
- Work with technology teams to define and run test scenarios for new features or data changes in order management solutions, ensuring that product information and MDM rules operate correctly during night shift operations.
- Assist in incident resolution by investigating data discrepancies across orders, invoices, and trading reports; provide thorough root cause analysis and recommend sustainable remediation actions.
- Drive continuous improvement by identifying process gaps within product information and MDM workflows and proposing practical enhancements that reduce manual work and error rates.
- Engage with business users in retail and order operations to collect feedback on data usability and incorporate those insights into stronger data standards and governance practices.
- Ensure alignment with internal data governance policies by enforcing consistent attribute naming conventions and validation rules across all order management and trading data sets.
- Support daily execution of company objectives by ensuring clean, reliable master data enables efficient order processing, supports trading decisions, and ultimately improves service outcomes for customers and communities.
Qualifications
- Hands-on experience working with order management solutions and trading-related processes for at least two years, including practical exposure to core workflows such as order creation, fulfillment, and status tracking.
- Strong analytical skills demonstrated through reviewing large volumes of order and product data, using insights to refine MDM rules, and improving data integrity across business functions.
- Knowledge of retail order management scenarios—such as omnichannel orders, returns, and exchanges—to design data structures that reflect real-world retail operations accurately.
- Familiarity with master data management concepts including golden records, data stewardship, and standardized attributes, with the ability to explain how these principles enable consistent trading and reporting.
- Experience working within hybrid models and night shift operations to coordinate with distributed teams and maintain clear communication on urgent data and order issues.
- Proven communication and collaboration skills with cross-functional partners, including technology operations and business stakeholders, to translate requirements into actionable data solutions.
- Adaptability in learning new order management tools and MDM platforms, applying best practices from retail and trading domains to strengthen the resilience of data processes.
