About this role
- Monitor and ensure adherence to enterprise data management procedures and standards.
- Enter / update master and reference data for assigned data domains (Products, Customers, Vendors, Accounts, Items) in multiple systems
- Maintain business data glossaries, taxonomies, and catalogs. Support onboarding/ offboarding of new Master Data datasets and associated data attributes.
- Support data quality issue resolution by triaging master data issues generated by the enterprise Data Quality engine
- Conduct root cause analysis of master data accuracy, completeness, timeliness, consistency, uniqueness, integrity issues, and propose solution to solve problem at root cause
- Review critical data exceptions generated by various systems and work with appropriate stakeholders to coordinate resolution
- Work with Data Owners to resolve issues, either by changing the data at the source system, or update the data in the Master Data Management system, or updating cross-functional / cross-regional / cross-departmental reference data mappings
Amneal is an equal opportunity employer. We do not discriminate based on caste, religion, gender, disability, or any other legally protected status. We believe in fostering a workplace that values diversity and inclusion.
Other facts
About Amneal India
Amneal Pharmaceuticals, Inc. (NASDAQ: AMRX) is guided by a simple belief: essential medicines should be accessible to everyone. What began as a promise to deliver high-quality, affordable medicines has evolved into a diversified portfolio spanning complex generics and injectables, biosimilars, and specialty medicines, including more than 290 products, with scale and capabilities that help reach patients across the healthcare system while combining world-class precision with a deep sense of personal responsibility for every dose we deliver.
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What you'll do
- The Manager, Finance Business Partners will monitor adherence to data management procedures and ensure the accuracy of master data across various domains. They will also support data quality issue resolution and conduct root cause analysis to address data integrity issues.
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