Finance Data Manager
Amgen (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted on 26 Aug
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Amgen
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Amgen you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead operational ownership and lifecycle management of Finance master data including GL Accounts, Cost Centers, Profit Centers, hierarchies, WBS, and related reference data.
- Serve as Finance Data Steward managing governance processes: business definitions, metadata, critical data elements, data lineage, classifications, and certification evidence for audit readiness.
- Develop and monitor Finance data quality controls and KPIs, drive remediation efforts, support compliance including SOX and audit responses, and improve governance workflows and automation.
Minimum Requirements
- Bachelor's degree in Accounting, Finance, Information Systems, Business, Data Management or related field.
- 5+ years of experience in Finance Master Data, ERP, Data Governance, or Finance Operations supporting enterprise Finance ERP platforms.
- Experience with SAP ECC and SAP S/4HANA Finance implementations, including supporting global Finance organizations.
- Work Experience Required: 5+ years as described, other hard filters like notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Expertise in Finance master data domains such as GL Accounts, Cost Centers, Profit Centers, WBS, Project Systems, and Chart of Accounts, with hands-on SAP ECC and S/4HANA Finance experience.
- Demonstrated ability to establish and mature data governance operating models, stewardship programs, data quality frameworks, and manage audit and compliance requirements.
- Experience working with enterprise-wide Finance data strategies, supporting advanced analytics, AI-enabled stewardship, automation, and global Finance transformation initiatives.