At American Express, the Global Services (GS) Data Office is looking to activate and steward Servicing data to be a more strategic enterprise asset by maturing enterprise data management capabilities and executing the data governance strategy within the scope of the GS Data Office.
Requirements
- Involvement with data governance, data management, data analytics or any enterprise programs with data at its core
- Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.
- 2+ years of direct work experience in large scale/enterprise data projects.
- 1+ years of formal data governance and/or data management programs.
- Certification as a Data Management Professional (CDMP) or other similar data management certification.
- Working knowledge of current and upcoming data governance, data management and data product techniques and trends, with a point of view on the evolving concepts and best practices.
- Certifications and experience working within the Collibra Data Intelligence Platform, MANTA, or other similar Data Governance tools.
Responsibilities
- Manage and advance data governance principles, policies, and programs for stewardship, advocacy and custodianship of data.
- Coordinate working groups with relevant GS Business, Product, Platform and Tech teams, and the Data Custodians
- Identify critical data elements that map to attributes in key reports and/or to key processes within the business unit
- Define and document Business Metadata, Risk Categorizations, Sensitivity Levels, Data Quality rules, Data Lineage for critical data.
- Drive partnership with Product/Platform stakeholders, to ensure timely remediations for Data Quality issues, including root cause analysis, plan formulation, implementation tracking, testing and closure.
- Support the Data Steward in in the establishment, maintenance, and testing of controls to manage data risk within their business unit.
- Partner with Data Offices within other Business Units to drive end-to-end risk management of data across the data life-cycle
Other
- Minimum of 2 years experience working in a financial or insurance sector or similar
- Excellent written and verbal communications skills with ability to communicate highly complex concepts and processes in simple terms that are clearly understood by Business, Product and Technology stakeholders at multiple levels
- Demonstrated learning agility, ability to make decisions quickly and with the highest level of integrity.
- Willingness to learn, introspect and improve.
- Prior Large Scale Finance Industry experience preferred.
