VP, Forward Deployed Data Engineering

Prudential Financial

Hybrid Actively hiring Posted this week Verified listing
Newark, NJ Posted 3 days ago $239,700$359,500 / year

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $300k
$112k most similar roles pay here $386k

This role pays more than 97% of similar roles. Most pay $147,062–$211,200 — the shaded band above. At the midpoint, this role pays about $300k versus about $179k 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 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

As Vice President of Forward Deployed Data Engineering at Prudential’s Chief Data & AI Office, you will lead technical teams embedded within business units to deliver production-grade data solutions that enhance decision-making and AI adoption. Your day-to-day involves leading end-to-end data initiatives from discovery through deployment, designing enterprise-grade batch and streaming pipelines, and ensuring compliance with regulatory standards. You’ll work closely with senior stakeholders to translate complex requirements into scalable data architectures while maintaining tight feedback loops with the enterprise data platform team to shape future roadmaps. This role requires extensive experience in building large-scale data engineering solutions, proficiency in tools like Airflow, Azure Data Factory, AWS Glue, and cloud-native platforms such as Snowflake and Databricks, and a strong understanding of data governance and regulatory compliance within the financial services industry.

What you'll do

  • Lead end-to-end forward deployed data initiatives from discovery through production deployment.
  • Design and oversee delivery of enterprise-grade batch and streaming data pipelines.
  • Guide development of analytics-ready and AI-ready datasets for decision-making inputs.
  • Ensure solutions meet Prudential standards for security, privacy, compliance, and observability.
  • Establish reusable data architectures and accelerators to reduce duplication and accelerate deployments.

What we're looking for

  • Extensive experience in designing and operating enterprise-scale data engineering solutions
  • Proven success leading forward-deployed data initiatives embedded with business teams
  • Strong technical judgment and credibility for reviewing architectures and guiding tradeoffs
  • Ability to translate complex business needs into scalable data architectures and products
  • Experience working within strict regulatory environments, ensuring compliance and security
  • Track record of influencing enterprise data platform direction through deployment insights
  • Expertise in modern ETL/ELT pipelines, batch/streaming architectures, and cloud-native platforms

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