JobsData Architecture & Engineering - Manager - Financial Services - Consulting - NYC
Data Architecture & Engineering - Manager - Financial Services - Consulting - NYC
EYData Architecture & Engineering - Manager - Financial Services - Consulting - NYC
EYLocation
New York, NY
Type
Full-time
Posted
7/26/2026
Compensation
$125,500 - $261,600 per year
Undergraduate with 5+ Years of Experience
Master's with 5+ Years of Experience
Approval 97.9%·Filings 747·New hires 303·
💎 Strong Sponsor
·FY 2025Job description
The Data Architecture & Engineering Manager role at EY focuses on providing data and analytics services within the financial services sector. This position is part of a dynamic team dedicated to solving complex challenges and driving growth through innovative data techniques. The manager will work with diverse teams across various geographies, helping clients leverage their data for smarter business operations. This role offers opportunities for personal development and building a professional network in a supportive environment.
Requirements
- Undergraduate or master's degree in a quantitative field such as engineering, computer science, business, economics, finance, statistics, or analytics.
- Around 6 or more years of related work experience in banking, capital markets, insurance, or asset management.
- Strong communication skills with the ability to advocate technical solutions to various audiences.
- Experience in project management and client-facing roles.
- Ability to travel to meet client needs, estimated at 60%.
Responsibilities
- Deliver a wide range of data and analytics services to clients.
- Solve complex issues and drive growth across financial services.
- Lead and coach diverse teams of professionals.
- Build strong relationships with clients and cultivate business opportunities.
- Initiate and build thought leadership through white papers and proof of concepts.
Benefits
- Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.
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