VP, Enterprise Responsible AI and Data Quality Assurance Operations

Prudential Financial

Hybrid

Quick summary

Work type
Hybrid
Location
Newark, NJ
Salary
$178,600–$267,800 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $223k
$134k most similar roles pay here $282k

This role pays more than 69% of similar roles. Most pay $160,937–$235,750 — the shaded band above. At the midpoint, this role pays about $223k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Prudential Financial

Prudential Financial is a global financial services leader and premier active global investment manager.

Prudential Financial currently has 39 open roles on FindRole.

Listed pay typically runs $133,600–$204,100 across 36 roles with salary data.

Most-posted roles

View all roles at Prudential Financial

At a glance

TL;DR · VP, Enterprise Responsible AI and Data Quality Assurance Operations

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As the Vice President of Enterprise Responsible AI (RAI) and Data Quality (DQ) Assurance Operations at Prudential Financial, you will lead a global team responsible for establishing and enforcing an enterprise-wide governance model and control plane for RAI and DQ. Your role involves translating policy into actionable controls, setting up centralized oversight mechanisms, and ensuring compliance across business units and technology teams through automation and measurable outcomes. You will develop frameworks, standards, and tooling to embed controls into delivery processes, manage cross-enterprise governance rhythms, and provide transparent reporting on risk posture and control effectiveness. Key responsibilities include defining DQ monitoring and issue management, integrating data quality controls into AI lifecycle governance gates, and managing the RAI/DQ operations tooling roadmap. The ideal candidate has over 10 years of leadership experience in AI governance, policy, and risk management, with a strong understanding of AI/ML lifecycles and enterprise data quality practices.

Skills

ModelOps DataOps CI/CD Python SQL Kubernetes AWS Azure GCP Terraform GitLab Prometheus Grafana Docker PostgreSQL Snowflake Apache Kafka AI Governance Machine Learning Lifecycle Management Data Quality Standards Metadata Management Data Lineage Data Observability Regulatory Compliance Policy-as-Code

What you'll do

  • Establish and enforce an enterprise Responsible AI and Data Quality governance model.
  • Own centralized workflows and tooling for oversight of models and use-cases.
  • Develop and maintain governance frameworks and audit-ready documentation for RAI/DQ.
  • Lead cross-enterprise governance rhythms to drive consistent adoption of RAI and DQ controls.
  • Define and publish KPIs and dashboards for compliance, risk posture, and control effectiveness.
  • Integrate data quality controls into AI lifecycle governance gates to ensure fit-for-purpose data.

What we're looking for

  • At least 10 years of leadership experience in AI governance, policy, risk management, or ethics.
  • Strong understanding of AI/ML development lifecycles and model operations.
  • Demonstrated leadership in enterprise data quality governance and assurance.
  • Working knowledge of data quality practices and tooling in regulated environments.
  • Proven ability to operationalize complex technical programs across large organizations.
  • Experience leading cross-functional teams and influencing stakeholders.
  • Advanced degree in computer science, data science, or related field preferred.

Related searches

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