Arch Capital Group Ltd.

Arch Capital Group Ltd.

AVP, Data Governance - Hybrid (Jersey City)

Jersey City, NJ United States of America

Sponsorship not specifiedDetected 30 days ago
Performance ManagementCadenceLeadershipCommunicationCollaborationPublic SpeakingOrganizational SkillsMicrosoft Office

About the role

  • With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential.
  • Our work is the catalyst that helps others achieve their goals.
  • The AVP, Data Governance - Stewardship, Metadata & Enablement is responsible for owning and advancing Arch Insurance North America's data stewardship model, business metadata foundations, and governance enablement capabilities.

Responsibilities

  • Own the design, evolution, and effectiveness of the enterprise
  • Drive steward execution and consistency through direct engagement, facilitation, and follow‑through, reinforcing clear expectations and accountability for delivery.
  • Ensure the Data Stewardship Program explicitly supports analytics and AI use cases by defining stewardship expectations for AI‑relevant data sets, including data quality, lineage transparency, business context, and ongoing accountability.
  • Own the business metadata and lineage enablement strategy and measurable outcomes across assigned domains and initiatives.
  • Establish, document, and enforce enterprise standards and best practices for metadata, lineage, and the data catalog-including definitions, documentation expectations, usage patterns, stewardship responsibilities, and support for analytics and AI use cases (e.g., explainability, provenance, and appropriate usage context).

Benefits

  • engagement and learning cadence, including forums and structured training touchpoints
  • proficiency standards, learning progression, and measurable outcomes

This listing is sourced directly from Arch Capital Group Ltd.'s careers page and normalized into a canonical job model.