Vice President, Data Scientist – AI Hub

Vice President, Data Scientist – AI Hub

Location: Manchester.

Why This Role (for Builders)

• High autonomy to shape solutions and drive work from idea to adoption.
• Work on AI capabilities that touch core financial operations used across global markets.
• Tackle complex, real world problems where reliability and trust matter.
• Bring strong craft—clean reasoning, clear evaluation, high quality system design.
• Help define reusable patterns, standards, and emerging best practices across the platform.
• Gain platform visibility through demos and cross function collaboration.
• Join a high calibre team at the intersection of AI, engineering, and financial systems.
• Explore, prototype, and elevate successful ideas into firm wide capabilities.
• Own outcomes end to end with production reliability and observability.
• Grow as a systems thinker and lead new initiatives as our platform evolves.

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: Experience leading junior staff and matrixed contributors; proven mentorship and quality bar setting.

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.

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