Vice President, Data & AI Platforms

Prudential Financial

Quick summary

Work type
On-site
Location
Newark, NJ
Posted
3 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $184k
$130k most similar roles pay here $224k

This listing doesn't post a salary. Most similar roles pay $153,477–$214,500.

Based on 239 similar postings.

Employer

About Prudential Financial

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

Prudential Financial currently has 35 open roles on FindRole.

Listed pay typically runs $129,300–$204,100 across 32 roles with salary data.

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View all roles at Prudential Financial

At a glance

TL;DR · Vice President, Data & AI Platforms

This senior leadership role within the Global Technology and Operations team at Prudential involves overseeing the strategic direction, governance, and operational excellence of enterprise data and AI platforms. Day-to-day responsibilities include defining platform roadmaps, managing core engineering functions such as MLOps, FinOps, and SRE, and ensuring secure, reliable, and cost-effective scaling across the organization. The ideal candidate will have extensive experience in building and operating complex enterprise environments, leading high-performing global teams, and collaborating with diverse stakeholders to drive digital transformation initiatives. Key skills include expertise in agile delivery, DevOps practices, and a deep understanding of cloud-based data infrastructure. Experience in financial services or insurance is beneficial but not mandatory, as the role demands strong technical depth alongside strategic vision and operational leadership.

What you'll do

  • Define and own the vision, strategy, and roadmap for Prudential’s enterprise data and AI platforms.
  • Lead platform engineering efforts for central, AI/ML, and data platforms, ensuring architecture and modernization.
  • Oversee ML Operations (MLOps) to manage model lifecycle at enterprise scale securely and reliably.
  • Establish and govern standards, policies, and controls for data and AI platforms to ensure compliance.
  • Manage FinOps practices for cloud cost optimization and investment alignment in partnership with finance teams.
  • Partner with Enterprise Architecture to define reference architectures and shared frameworks for data and AI platforms.

What we're looking for

  • Progressive leadership in global-scale data and AI platform engineering.
  • Deep experience in MLOps, data operations, SRE, FinOps, and cloud-based infrastructure.
  • Proven ability to define and execute enterprise platform strategy and operating models.
  • Strong track record managing federated environments with enterprise-wide standardization.
  • Expertise in agile delivery, DevOps, reliability engineering, and TDD methodologies.
  • Demonstrated success building and leading high-performing global product and engineering teams.

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