Vice President, Data Transfer, Integration & Quality Manager
BNY · New York, United States · 2mo ago
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- America’s Most Innovative Companies, Fortune, 2025
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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.
BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.
Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee’s eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, the employee will be in an “at will” position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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 New York. NY.
In this role, you’ll make an impact in the following ways:
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).
Build and manage an AI use‑case portfolio: assess value, feasibility, data readiness, and risk; prioritize for outcomes and time‑to‑value.
Lead discovery and delivery: drive problem framing, experimentation, MVPs, and scaling of solutions in production; implement robust measurement plans (adoption, ROI, quality, risk).
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.
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.
Champion Responsible AI: ensure privacy, fairness, explainability, and model risk controls are embedded in design and operations.
Drive change management: prepare stakeholders for adoption; deliver training and enablement; capture feedback to iterate solutions.
Track and report outcomes: establish KPIs and OKRs; report progress to platform leadership; support quarterly planning and budget discussions.
To be successful in this role, we’re seeking the following:
Demonstrated success defining AI strategy, building roadmaps, and leading cross‑functional delivery from MVP to scale with measurable impact.
Hands‑on familiarity with modern ML/GenAI stacks (Python, model lifecycle, ML Ops/CI‑CD, cloud services, data pipelines, monitoring/observability).
Ability to translate business problems into technical plans and explain technical concepts to non‑technical audiences.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field;