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About the role
Vice President, Data Transfer - Integration & Quality
London, United Kingdom
Job Description
We’re seeking a future team member for the role of Vice President Data Transfer - Integration & Qualityto join our Markets – Securities Finance team. This role is located in London.
In this role, you’ll make an impact in the following ways
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Define an AI vision and multi‑year roadmap for the Financing Platform, tightly aligned to platform OKRs and BNY’s strategic pillars (Be More for our Clients, Run our Company Better, Power our Culture).
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Build and manage an AI use‑case portfolio: assess value, feasibility, data readiness, and risk; prioritize for outcomes and time‑to‑value.
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Lead discovery and delivery: drive problem framing, experimentation, MVPs, and scaling of solutions in production; implement robust measurement plans (adoption, ROI, quality, risk).
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Navigate governance and controls: shepherd initiatives through BNY’s AI governance processes (e.g., ADAB approvals, MRMG requirements, Permit to Build/Operate, Ongoing Performance Monitoring); ensure documentation, testing, and monitoring are in place.
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Partner across platform teams: collaborate with engineering on model serving and performance, with data teams on feature pipelines, and with product on client impact and rollout.
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Champion Responsible AI: ensure privacy, fairness, explainability, and model risk controls are embedded in design and operations.
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Drive change management: prepare stakeholders for adoption; deliver training and enablement; capture feedback to iterate solutions.
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Track and report outcomes: establish KPIs and OKRs; report progress to platform leadership; support quarterly planning and budget discussions.
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To be successful in this role, we’re seeking the following:
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Demonstrated success defining AI strategy, building roadmaps, and leading cross‑functional delivery from MVP to scale with measurable impact.
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Hands‑on familiarity with modern ML/GenAI stacks (Python, model lifecycle, ML Ops/CI‑CD, cloud services, data pipelines, monitoring/observability).
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Ability to translate business problems into technical plans and explain technical concepts to non‑technical audiences.
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Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field;
About Us
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.
About the Team
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.
Apply Now
Job Info
- Job Identification79224
- Job CategoryOperations Data and Process Architect
- Posting Date06/26/2026, 12:42 PM
- Locations160 Queen Victoria Street, London, GT LON, EC4V 4LA, GB
- Job ScheduleFull time
- Job ShiftDay
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