Enterprise Data Architect - Senior Vice President

Citi Handlowy

Jersey City, New Jersey, United States
Base: $176,720.00 - $265,080.00; bonus/equity: dis...
Hybrid
15+ years technology and data architecture experience
Crm data domain expertise and customer 360 modeling
Python scripting for data ingestion and automation
Citi Handlowy is seeking a Senior Vice President - Enterprise Data Architect to lead the data architecture strategy and execution within their organization. The ideal candidate will have extensive experience in data architecture and engineering, along with strong leadership skills, particularly in the areas of CRM, data science, and integration

Job Summary

  • This Senior Vice President role leads the enterprise data architecture strategy across CRM, customer data domains, and AI-enabled solutions.
  • The position requires direct leadership of a team of 10–15 engineers to deliver scalable, secure, and high-quality data products.
  • Citi offers competitive benefits including medical coverage, 401(k), life insurance, and paid time off packages alongside the salary range.

Matching Summary

Match Score: 85

Citi Handlowy is seeking a Senior Vice President - Enterprise Data Architect to lead the data architecture strategy and execution within their organization. The ideal candidate will have extensive experience in data architecture and engineering, along with strong leadership skills, particularly in the areas of CRM, data science, and integration.

Salary

Base: $176,720.00 - $265,080.00; Bonus/Equity: Discretionary and formulaic incentive and retention awards available; Benefits: Medical, dental, vision, 401(k), life, accident, disability insurance, wellness programs, and paid time off

Skills & Requirements

Must-have

  • 15+ years technology and data architecture experience
  • CRM data domain expertise and customer 360 modeling
  • Python scripting for data ingestion and automation
  • Kafka event streaming and event-driven patterns
  • Elasticsearch search and high-volume query management
  • Leadership of 10+ engineers and developers
  • Productionizing ML and LLM solutions with governance

Nice-to-have

  • Cloud-based or hybrid architecture modernization
  • MLOps and LLMOps practices implementation
  • Data governance framework and tooling familiarity
  • Regulated environment privacy-by-design experience
  • API-first enterprise integration patterns
  • High-performing inclusive culture building
  • Executive stakeholder influence and alignment

Key Requirements

  • Bachelor's degree required; Master's preferred
  • 15+ years progressive experience in data architecture and engineering
  • Demonstrated people-management experience leading teams of 10+ engineers

Work Rights

Not specified

Tailored Resume

Cover Letter