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BNY

Director, AI / Machine Learning Data Engineer

Posted Yesterday
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In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
The Director of AI/Machine Learning Data Engineering will lead technical delivery, manage AI/ML teams, design scalable data platforms, and influence technology strategy.
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Director, AI / Machine Learning Data Engineering

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Director, AI / Machine Learning Data Engineering to join our Trustee & Depositary (T&D) Engineering team. This role is located in Manchester, UK.

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

  • Act as IT Lead within a POD, owning end-to-end technical delivery and engineering excellence to drive T&D Modernisation initiatives.

  • Provide technical and people leadership for a T&D Engineering group, building and leading high-performing AI / ML and data engineering teams.

  • Design, build, and scale enterprise-grade AI, machine learning, and data platforms, including data pipelines and MLOps capabilities, fully integrated with enterprise master data systems.

  • Define and influence broad-based technology strategy across large IT domains, embedding an AI-first and agile engineering mindset while ensuring scalability, resilience, security, and risk mitigation.

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

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

  • Significant experience in software engineering, with deep expertise in AI, machine learning, and data engineering.

  • Proven experience leading large-scale backend, data, or AI platforms in complex enterprise environments; financial services experience is a plus.

  • Extensive experience with multi-platform development environments, modern cloud architectures, data pipelines, and integration with enterprise systems.

  • Demonstrated ability to understand business impact and interdependencies of strategic IT decisions and to influence senior stakeholders effectively.

  • People leadership experience, including leading senior engineers and technical leads in agile delivery models, mentoring talent, and fostering a strong engineering culture.

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here’s a few of our recent awards:

America’s Most Innovative Companies, Fortune, 2025

World’s Most Admired Companies, Fortune, 2025

“Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer – Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Top Skills

AI
Cloud Architectures
Data Engineering
Data Pipelines
Machine Learning
Mlops

BNY Manchester, England Office

1 Piccadilly Gardens , England, Manchester, United Kingdom, M1 1RN

BNY Manchester, England Office

3 Hardman Street Spinningfields , Manchester, United Kingdom, M3 3HF

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