Chubb

Chubb

SVP, Governance Planning & Practices

Whitehouse Station, NJ, United States

Sponsorship not specifiedDetected 1 day ago
Leadership

About the role

  • The SVP - Governance, Planning & Delivery Practices is a senior leader in the Transformation & Delivery Office (TDO), responsible for setting the operating model, governance, planning, financial management, and delivery standards that support execution of Commercial Insurance's strategic portfolio. This role leads governance, portfolio planning, budget
  • oversight, delivery practices, change management, and tooling to ensure programs are managed with consistency, transparency, and accountability. The ideal candidate brings deep experience in large-scale transformation, portfolio governance, financial oversight, and delivery excellence in a complex, matrixed environment. Key Responsibilities - Governance &

Responsibilities

  • Lead portfolio governance, decision rights, escalation paths, reporting, and accountability.
  • The SVP - Governance, Planning & Delivery Practices is a senior leader in the Transformation & Delivery Office (TDO), responsible for setting the operating model, governance, planning, financial management, and delivery standards that support execution of Commercial Insurance's strategic portfolio.
  • This role leads governance, portfolio planning, budget oversight, delivery practices, change management, and tooling to ensure programs are managed with consistency, transparency, and accountability.

Requirements

  • The ideal candidate brings deep experience in large-scale transformation, portfolio governance, financial oversight, and delivery excellence in a complex, matrixed environment.

Compensation

  • Monitor portfolio health, risks, dependencies, and executive status reporting. - Planning Leadership: Define planning standards and lead annual, quarterly, and integ...

Benefits

  • Monitor portfolio health, risks, dependencies, and executive status reporting. -

This listing is sourced directly from Chubb's careers page and normalized into a canonical job model.