Hands-on Data Architect, Investor Services Lead

Citi; New York (NY); Hybrid; USD 176,720 - 265,080; Full time

Benefits offered by this job

Medical, dental and vision coverage

401(k) plan

Paid time off packages including vacation and sick leave

Job summary

Citi is looking for a Senior Vice President for Investor Services Technology who will act as the authority on data architecture across various domains. This hands-on role combines technical expertise with leadership, ensuring best practices in data handling and architecture principles. The ideal candidate brings over a decade of experience in data architecture within financial services.

This hybrid position is based in New York and entails significant responsibilities including fostering collaboration between tech and business entities, defining data governance standards, and delivering tools that enhance data integration across platforms.

Qualifications

• 10 - 12+ years in technology, with 6 years in data architecture role.
• Hands-on experience delivering shared architectural tooling.
• Expertise in custodial and fund services data.

Responsibilities

• Define and manage data architecture principles and standards.
• Collaborate on canonical data models and dictionaries.
• Proactively remove data architecture bottlenecks.

Skills

Data modeling techniques

API design patterns

Data governance frameworks

Experience with cloud data platforms

Education

Bachelor's or Master's degree in Computer Science

Tools

Apache Kafka

Python

Data lineage tools

Job description

Citi is looking for a Senior Vice President for Investor Services Technology who will act as the authority on data architecture across various domains. This hands-on role combines technical expertise with leadership, ensuring best practices in data handling and architecture principles. The ideal candidate brings over a decade of experience in data architecture within financial services.

This hybrid position is based in New York and entails significant responsibilities including fostering collaboration between tech and business entities, defining data governance standards, and delivering tools that enhance data integration across platforms.