below marketmost similar roles pay hereabove market
This role pays more than
82%
of similar roles. Most pay
$173,850–$261,000
— the blue band above.
At the midpoint, this role pays about
$277k
versus about
$217k
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
44 open roles
on FindRole.
Listed pay typically runs
$123,700–$204,100
across 19 roles with salary data.
The Vice President, Data and AI Architect joins the Enterprise Architecture Leadership Team and the Chief Data & AI Office to bridge strategy and execution. This leader defines the enterprise vision, target-state architecture, and long-term roadmaps for data and AI capabilities. Key responsibilities include shaping data products, lakehouse architectures, metadata management, and AI platform services while establishing governance frameworks and architectural patterns. The role requires deep expertise in Generative AI, Agentic AI, AI Assistants, and modern data ecosystems. You will navigate complex environments involving mainframe platforms, multiple systems of record, and identity resolution challenges. Success involves translating emerging technologies into scalable, trusted enterprise solutions. You must be a hands-on leader capable of reviewing engineering designs, troubleshooting technical obstacles, and collaborating with platform teams to deliver measurable business value.
Define and evolve the enterprise Data & AI architecture vision, target-state architecture, and long-term roadmap.
Lead the evolution of the enterprise Data & AI ecosystem, including platform strategy, governance, and capability roadmaps.
Shape the evolution of data products, lakehouse capabilities, metadata management, data quality, and AI platform services.
Establish enterprise standards, architectural patterns, reference architectures, and governance frameworks for scalable Data & AI capabilities.
Lead the evaluation and adoption strategy for emerging Data & AI technologies to ensure responsible enterprise introduction.
Define architectural approaches for adopting Generative AI, Agentic AI, AI Assistants, and other emerging AI capabilities.
Participate in architecture reviews, engineering discussions, and platform design sessions to remove technical obstacles and accelerate implementation.
Build and develop a high-performing Data & AI Architecture capability that promotes technical excellence and continuous learning.
What we're looking for
Bachelor’s degree required.
Advanced degree in Computer Science, Engineering, AI, Data Science, or Information Management (preferred).
Significant experience leading enterprise architecture, data architecture, software engineering, AI engineering, or platform engineering in large organizations.
Demonstrated success leading transformational technology initiatives balancing innovation, scale, governance, and business outcomes.
Demonstrated experience leading enterprise Data & AI transformations and translating emerging technologies into measurable business value.
Deep understanding of modern Data & AI ecosystems, including lakehouse architectures, data governance, Generative AI, and Agentic AI.
AI
ML
Data Science
Statistical Modelling
Predictive Analytics
Feature Engineering
Anomaly Detection
Drift Detection
Forecasting
ML Frameworks
Data Quality
Data Products
APIs
Kafka
Event Streaming
System Integration
Data Contracts
Schemas
Product Development Life Cycle
Batch Systems
Metadata
data, architecture
Product Discovery
AI
Large Language Models (LLMs)
Conversational AI
Prompt Engineering
AI Orchestration
Intelligent Automation
User Research
Experimentation
Requirements Definition
Product Development Lifecycle
Responsible AI