VP of Global AI-Driven Enterprise Services

Equifax, Inc.

St. Louis (MO)

On-site

USD 250,000 - 350,000

Full time

9 days ago

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Job summary

Equifax, Inc. is seeking a visionary Vice President of Professional Services to steer the enterprise onboarding and implementation organization.

You will own end-to-end client data onboarding, go-live readiness, and ongoing data health across regulated environments, driving AI-enabled delivery and high-velocity execution. In this executive role, you will establish the operating model, scale a global, high-performing team, and own accountability for aggressive data record growth while ensuring

Qualifications

  • 15+ years in executive professional services leadership including onboarding and implementation.
  • Experience scaling enterprise delivery with global teams and KPI-driven execution.
  • Deep domain knowledge of regulated data environments (FCRA/state privacy) and compliance.

Responsibilities

  • Own the onboarding lifecycle for data-contributing clients and go-live
  • Define go-live criteria, SLA-focused delivery, and handoff to Customer Success
  • Build proactive quality architectures with automated validation and data integrity checks
  • Productize delivery models and scale AI-enabled delivery across lifecycles
  • Lead a global team of implementation managers, data engineers, and solution engineers
  • Manage operating plan, budget, capacity, and executive dashboards across centers

Skills

Executive leadership
Data onboarding
AI/Automation
Budget management
C-suite communication

Education

Bachelor's degree
MBA preferred
Master's degree

Tools

APIs
SFTP transfers
AI platforms

Job description

Equifax, Inc. is seeking a visionary Vice President of Professional Services to steer the enterprise onboarding and implementation organization.

You will own end-to-end client data onboarding, go-live readiness, and ongoing data health across regulated environments, driving AI-enabled delivery and high-velocity execution. In this executive role, you will establish the operating model, scale a global, high-performing team, and own accountability for aggressive data record growth while ensuring

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