Vice President, AI program Lead

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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.

As an AI Program Lead at BNY, you will lead a cross-functional team focused on identifying, developing, deploying, and scaling AI-driven solutions that address business needs and improve operational efficiency. You will act as the primary point of leadership for the POD, guiding strategy, execution, and delivery while ensuring alignment with BNY’s enterprise AI priorities, governance standards, and risk framework.

In this role, you will bridge business needs with artificial intelligence, analytics, and operational transformation capabilities. You will partner closely with AI Hub, data scientists, engineers, Ops Hub, platform teams, and business stakeholders to shape AI opportunities, prioritize use cases, and deliver practical, responsible AI applications. You will also provide day-to-day leadership to POD team members, fostering collaboration, innovation, and continuous improvement.

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Key Responsibilities

AI Strategy, Delivery & Execution

• Lead the identification and prioritization of business processes where AI/ML, analytics, and automation can deliver measurable value.
• Oversee the end-to-end development, validation, deployment, and monitoring of AI and machine learning solutions.
• Guide the team in data preparation, feature engineering, exploratory analysis, and solution design to support effective modeling efforts.
• Ensure AI solutions are scalable, practical, and aligned to business objectives, operational needs, and enterprise architecture standards.
• Monitor solution performance post-deployment and drive continuous improvement opportunities.

POD Leadership & Team Management

• Lead, coach, and develop POD team members, creating a high-performing team environment focused on delivery, innovation, and accountability.
• Set clear priorities, assign work across the POD, and ensure effective execution against timelines and business commitments.
• Serve as the primary escalation point for delivery, resource, and execution issues within the POD.
• Foster collaboration across business, operations, and technology stakeholders to remove blockers and maintain momentum.
• Provide mentorship to team members on AI/ML practices, business analysis, and stakeholder engagement.

Cross-Functional Collaboration

• Partner with product owners, AI Hub, Ops Hub, platform teams, and business units to define requirements and ensure AI solutions achieve intended business outcomes.
• Translate complex technical concepts into clear, actionable insights for non-technical stakeholders and senior leadership.
• Work closely with data engineering and technology teams to integrate AI solutions into scalable production workflows.
• Facilitate alignment between stakeholders on objectives, scope, risks, dependencies, and success measures for AI initiatives.

Governance & Responsible AI

• Ensure POD activities adhere to responsible and ethical AI practices in line with enterprise governance frameworks.
• Oversee testing, validation, and documentation to support model accuracy, fairness, transparency, and compliance.
• Partner with control, risk, and compliance stakeholders to ensure AI solutions meet applicable standards and review requirements.
• Promote disciplined delivery practices that balance innovation with strong risk management and control execution.

Innovation, Change & Thought Leadership

• Stay current with emerging AI trends, tools, and techniques, and assess their relevance to business opportunities within the POD.
• Drive research into new methodologies and present recommendations to enhance internal AI capabilities.
• Champion adoption of AI solutions by helping stakeholders understand business value, change impacts, and implementation considerations.
• Contribute to the broader AI community within BNY by sharing insights, best practices, and lessons learned across teams.

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Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.
• Prior experience in AI/ML, analytics, data science, or a related technical discipline.
• Demonstrated experience leading projects, workstreams, or teams in a cross-functional environment.
• Experience working with business stakeholders to translate strategic priorities into practical technology or analytics solutions.