VP, AI Data Transfer, Integration & Quality

BNY Mellon; New York (NY); On-site; USD 190,000 - 260,000; Full time

Job summary

BNY Mellon in New York seeks a Vice President Data Transfer - Integration & Quality to lead AI strategy within Markets - Securities Finance. You will shape a multiyear roadmap for the Financing Platform, align to platform OKRs, and drive the portfolio of AI use cases from idea to production.

You'll oversee governance, partner with engineering and data teams, embed Responsible AI practices, and champion change with training, measurement, and reporting of key metrics to platform leadership.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• Hands-on familiarity with ML/GenAI stacks (Python, model lifecycle, ML Ops/CICD, cloud services, data pipelines, monitoring/observability).
• Ability to translate business problems into technical plans and explain technical concepts to nontechnical audiences.

Responsibilities

• Define an AI strategy and multiyear roadmap aligned to platform OKRs.
• Build and manage an AI use-case portfolio from value assessment to value realization.
• Lead discovery, MVPs, and scaling of solutions in production with measurement plans.
• Navigate AI governance processes ensuring documentation, testing, and monitoring.
• Partner with engineering, data teams, and product on rollout and impact.
• Champion Responsible AI with privacy, fairness, explainability, and risk controls.
• Drive change management with stakeholder training and enablement.
• Track KPIs and OKRs; report progress to leadership and budget discussions.

Skills

AI strategy

Roadmap planning

Cross-functional delivery

ML Ops

Cloud services

Data pipelines

Model governance

Stakeholder training

Education

Bachelor's degree in CS or related field

Tools

Python

Job description

BNY Mellon in New York seeks a Vice President Data Transfer - Integration & Quality to lead AI strategy within Markets - Securities Finance. You will shape a multiyear roadmap for the Financing Platform, align to platform OKRs, and drive the portfolio of AI use cases from idea to production.

You'll oversee governance, partner with engineering and data teams, embed Responsible AI practices, and champion change with training, measurement, and reporting of key metrics to platform leadership.