Data Architecture & Engineering Leader – Senior Manager

EY; New York (NY); Hybrid; USD 144,000 - 329,000; Full time

Benefits offered by this job

Hybrid work model

Medical coverage

Pension plan

Job summary

EY is seeking a Senior Manager in Data Architecture & Engineering within Financial Services to lead cross‑functional teams and shape data solutions for clients in NYC and beyond. You will drive data architecture, modern data platforms, and analytics initiatives across banking, capital markets, and insurance domains.

The role emphasizes client-focused collaboration, thought leadership, and delivering complex data outcomes while traveling up to 60% to serve major financial services clients.

Qualifications

• Undergraduate or master’s degree in a quantitative field (e.g., engineering, computer science, business, economics, finance, statistics, analytics).
• Minimum of 9 years’ experience in banking, capital markets, insurance, or asset management with at least 3 years of team management.
• Superior communication (verbal and written) with ability to advocate technical solutions to diverse audiences.
• Experience delivering results under tight deadlines and exploring new techniques beyond day-to-day duties.
• Willingness to travel up to 60%.

Responsibilities

• Lead diverse teams of professionals across geographies to deliver data & analytics services.
• Define and apply technical and business approaches in data architecture and engineering.
• Engage with client executives to cultivate opportunities and deliver client-ready deliverables.

Skills

Data architecture

Data engineering

Leadership

Client management

Cloud

Data governance

Education

Bachelor's degree in a quantitative field

Tools

Python

Java

C++

Spark

Airflow

Kafka

Job description

EY is seeking a Senior Manager in Data Architecture & Engineering within Financial Services to lead cross‑functional teams and shape data solutions for clients in NYC and beyond. You will drive data architecture, modern data platforms, and analytics initiatives across banking, capital markets, and insurance domains.

The role emphasizes client-focused collaboration, thought leadership, and delivering complex data outcomes while traveling up to 60% to serve major financial services clients.