Live opening · Posted 5 days ago

Director, Application Development Manager

BNY Mellon · New York, NY, United States
Oracle
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyBNY Mellon
LocationNew York, NY, United States
SourceOracle
Listed5 days ago

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About the role

Description supplied by the original job listing.

We’re seeking a future team member for the role of Director, Application Development Manager to join our Conventional Trust Platform Engineering team . This role is located in New York City.
In this role, you’ll make an impact in the following ways:
Manage multiple application development projects across diverse platforms through all phases of the systems development lifecycle; ensure the availability, integrity, and stability of production systems with processes that enable rapid response to issues.
Work collaboratively with business partners to define, design, develop, test, implement, and support technology solutions that deliver significant revenue or cost impact; act as an advocate for change management, encouraging innovation and creativity.
Oversee the development and implementation of multiple application systems; identify and allocate resource requirements; monitor and improve quality; ensure adherence to best-practice development techniques.
Manage and forecast operating budgets within approved plans; communicate timely and accurate project-related information to relevant stakeholders.
To be successful in this role, we’re seeking the following:
Advanced degree in computer science or a related discipline, or equivalent work experience.
12+ years of experience in systems analysis and application development, including supervisory, management, and administrative responsibilities; experience in the securities or financial services industry is a plus.
Proven expertise delivering enterprise-scale solutions across heterogeneous environments (software, hardware, tools, and cloud), with strong skills in modern SDLC practices, DevOps, and quality engineering.
Data and AI skill requirements: hands-on experience with data engineering and analytics (e.g., SQL, data modeling, pipelines), familiarity with AI/ML concepts and lifecycle (model development, evaluation, deployment, and monitoring), and the ability to leverage AI-enabled tools for software development, testing, and operations in accordance with governance and risk standards.
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