Job Description

1. Monitor and ensure adherence to enterprise data management procedures and standards.
2. Enter / update master and reference data for assigned data domains (Products, Customers, Vendors, Accounts, Items) in multiple systems
3. Maintain business data glossaries, taxonomies, and catalogs. Support onboarding/ offboarding of new Master Data datasets and associated data attributes.
4. Support data quality issue resolution by triaging master data issues generated by the enterprise Data Quality engine
5. Conduct root cause analysis of master data accuracy, completeness, timeliness, consistency, uniqueness, integrity issues, and propose solution to solve problem at root cause
6. Review critical data exceptions generated by various systems and work with appropriate stakeholders to coordinate resolution
7. 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

• Experience:
  • 2+ years of experience working in Data Governance or Data Management within a global manufacturing company
  • 2+ years of experience working with data in the specific domain (i.e., Customer, Product, Material, Vendor) in an ERP system context (Item/Material master, BOM, Routing, Production, Customer master, Vendor master)

• Education level:
  • Bachelor’s degree in a technical field (Preferred)

• Technical skills:
  • Analytical tools: Advanced use of Microsoft Excel (Pivot, VLOOKUP, etc.)
  • Master data systems Reltio (preferred), Informatica, Riversand
  • Ability to perform data extractions from SQL databases (preferred)
  • Business Intelligence / Visualization tools (preferred): Tableau, Power BI, or similar tools
  • Databases and languages (preferred): MySQL, Microsoft SQL Server, Python, R

• Competencies:
  • Ability to learn new technologies quickly
  • Excellent business acumen and communication skills
  • Ability to think outside the box and a strong curiosity to understand and learn new things
  • Demonstrated understanding of business data, proper data use / consumption, data quality, and stewardship
  • Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures
  • Ability to solicit followership from the functional teams to think beyond the ‘way the things work today’
  • Ability to align various stakeholders to a common set of standards and promote the benefits of master data quality and governance

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.