About The Position

The Senior Analyst will join the Finance Data Governance (FDG) team, which defines the future roadmap for data governance within Finance and promotes the use of trusted information in critical processes, decision-making, and accounting. The role is part of a growing team of data management professionals delivering data management and governance solutions. It partners with Finance Technology Transformation, Enterprise Data Governance, Controllership, Risk, and other teams to advance data governance and data quality across Finance. The position calls for a collaborative, organized, action-oriented team player with strong time management, presentation, facilitation, and relationship-building skills.

Requirements

  • Strong relationship-building and communication skills for partnering with business process owners, technology teams, Enterprise Data Governance, and other groups.
  • Self-motivated and proactive, with the ability to manage multiple assignments and projects concurrently.
  • Strong Excel and other technical skills.
  • Strong analytical and problem-solving skills.
  • Ability to collect business requirements and use them to guide implementation of a technical solution.
  • Employment eligibility to work with American Express in the United States; the company will not pursue visa sponsorship for these positions.

Nice To Haves

  • Solid understanding of and prior experience with Regulatory Reports, including FFIEC 031, FR Y-9C, FR Y-14 series, or FR 2052a.
  • 2–3 years of experience in Finance and Controllership.
  • Prior experience implementing data governance and data quality programs.

Responsibilities

  • Support Finance Data Governance in compliance with the Enterprise Data Governance Policy, including appropriate accountability models and processes for data asset management, metadata management, data quality, and issue resolution.
  • Support all aspects of Data Governance for assigned Regulatory Reports, including data activation steps and compliance with data standards and privacy regulations.
  • Support strategic improvements to the data assessment process and enhancements to data analytical and data quality tools.
  • Lead root-cause analysis of data quality issues and support remediation of Audit and Regulatory feedback.
  • Support the development, validation, and maintenance of the business glossary, data integration, data lineage, and data management activities.
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