About The Position

BNY is seeking a Senior Specialist, Data & AI Governance to join its Data Solutions and Service team in New York City. The role supports the bank’s Data Quality (DQ) Controls and Issue Management process and serves as a first line of defense for Data Quality issues affecting applications and critical data sources. The specialist works across the enterprise with Data Leaders and Data Divisional Officers, and collaborates with second line of defense teams and Internal Audit. The position also supports AI tools and processes that advance Data Quality and Governance initiatives and helps manage data risk, issue remediation, and SLA compliance.

Requirements

  • Bachelor’s degree or equivalent combination of education and work experience.
  • Strong analytical skills for reviewing Data Quality Controls and issue remediation plans and results.
  • Familiarity with Data Lineage and Issue Management tools.
  • Skills in using and building AI tools to automate and enhance regulatory and controls processes.
  • Strong interpersonal skills to work with business and engineering professionals to resolve design disputes, issue ownership disputes, and remediation disputes.
  • Good business writing skills to assess and improve the quality of issue documentation.

Nice To Haves

  • Three to five years of total work experience preferred.
  • Financial Services experience preferred.
  • Experience with control and issues management in a regulatory environment; Financial Services experience is preferred.

Responsibilities

  • Manage Data Risk by supporting the bank’s Data Quality Controls and Issue Management process.
  • Work with Data Leaders and Data Divisional Officers across the enterprise to build and monitor Data Quality Controls.
  • Serve as the first line of defense for Data Quality issues impacting applications and critical data sources.
  • Build and support AI tools and processes that enhance Data Quality and Governance initiatives.
  • Work with second line of defense and Internal Audit to review evidence required to close issues.
  • Support issue owners and responsible groups in properly documenting required information in the enterprise issue tracking system.
  • Review tactical and strategic remediation efforts for Data Quality issues to manage data risk.
  • Track open Data Quality issues and metrics for assigned platforms to manage SLA compliance.
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