Director, Data Scientist Management

Euspert - Appcast - CPC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

BNY invites an AI leader to drive end-to-end AI solution development on the ELIZA platform, shaping problems, experimentation, deployment and measurable business impact.

You will provide technical direction across product, engineering, operations and governance, embedding responsible AI practices and guiding architecture decisions to deliver scalable, observable capabilities.

Qualifications

• Significant experience delivering AI/ML in enterprise environments.
• Proven ownership of multi-phase or multi-pod programs.
• Deep experience with LLMs, retrieval architectures, and evaluation.

Responsibilities

• Lead end-to-end AI solution development.
• Provide technical direction across pods and architecture decisions.
• Embed responsible AI practices and governance patterns.
• Partner with platform teams for scalable, observable capabilities.
• Mentor juniors and uplift engineering quality.

Skills

AI/ML leadership

LLMs/NLP

Enterprise delivery

Architecture direction

Mentoring

Education

Bachelor’s or Master’s in CS/AI/DS/Engineering

Job description

Responsibilities

• Lead complex, end to end AI solution development.
• On BNY’s AI platform ELIZA—from problem shaping and experimentation to deployment, adoption, and measurable business impact.
• Provide technical direction to pods; guide prioritization, trade offs, and architecture decisions across Product, Engineering, Operations, and Governance.
• Design and embed responsible AI practices into solutions—clear evaluation methods, transparency standards, risk controls, and human oversight patterns—while helping shape the AI Hub’s responsible AI framework.
• Partner with platform teams to deliver scalable, observable, secure capabilities; establish drift/quality monitoring and cost aware performance.
• Mentor juniors; uplift engineering quality via documentation, reusable accelerators, and communities of practice.
• Contribute to AI Hub standards, reference architectures, and platform components.

Qualifications

• Bachelor’s or Master’s in Computer Science, AI, Data Science, Engineering/Management (advanced degree preferred).
• Significant experience delivering AI/ML in enterprise environments with proven ownership of multi phase or multi pod programs.
• Deep applied experience across LLMs/NLP, agentic systems, retrieval architectures, robust evaluation, and enterprise grade delivery.
• Demonstrated ability to simplify complexity, set technical direction, and drive outcomes across teams.
• People leadership: Strong leadership skills with experience in mentoring and developing team members

Company Culture

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.

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, 2025World’s Most Admired Companies, Fortune 2025“Most Just Companies”, Just Capital and CNBC, 2025

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

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.

Full time

Posting Date: 2026-08-05