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Location
In office (New York)
Seniority
Architect · 8+ years exp
Visa
Sponsors visas in Ireland; no register of this country names it

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 9, 2026. BNY scores B on the Alion truth index.

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BNY

BNY, formerly BNY Mellon, is a global financial services company headquartered in New York City, providing custody, fund administration, clearing, corporate trust, treasury and payments services, investment management through BNY Investments, and wealth management to institutions and individuals. Founded in 1784 by Alexander Hamilton, it oversees about 62.6 trillion dollars in assets under custody and administration and has large operations in Pittsburgh, Lake Mary, Manchester, London, Dublin and Pune. Hiring spans fund administration and client service, audit, data, AI and full-stack engineering, product management and analyst and summer internship programs.

We’re seeking a future team member for the role of Vice President, AI / Machine Learning Data Engineering to join our Client Insights - Data Management team. This role is located in New York.

In this role, you’ll make an impact in the following ways:

  • Lead the design and development of data infrastructure and pipelines by utilizing advanced engineering practices to support AI and machine learning projects.
  • Develop critical components such as data ingestion, processing, and management by applying deep technical expertise and innovative methodologies.
  • Collaborate with cross-functional teams to ensure data quality and integrity by implementing rigorous data quality reporting and remediation processes.
  • Identify, analyze, and resolve data issues by employing analytical skills and problem-solving techniques.

To be successful in this role, we’re seeking the following:

  • Bachelor’s degree in computer science, Data Engineering, or a related field, or the equivalent combination of education and experience required.
  • 8 -10 years of experience.
  • Expertise in data engineering and management techniques, with a focus on AI and machine learning.
  • Strong analytical and problem-solving skills, capable of identifying and resolving complex data issues.
  • Excellent collaboration and communication skills, essential for working with cross-functional teams and mentoring junior engineers.
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