Senior Vice President, AI Enablement Lead – Network Services

About the role

The Senior Vice President, AI Enablement Lead – Network Services role is located in Pittsburgh, PA or Lake Mary, FL. This role is responsible for driving and delivering high-complexity, reusable AI capabilities and AI transformation to achieve efficiencies with SMEs within the teams.

Responsibilities

• Drive and deliver high-complexity, reusable AI capabilities and AI transformation to achieve efficiencies with SMEs within the teams.
• Own AI demand intake and prioritization across Network Services, including identification, assessment, and prioritization of use cases based on business value, feasibility, data readiness, and risk.
• Cook up end-to-end delivery of AI capabilities across Network Services, business stakeholders, and central AI teams, including management of dependencies, handoffs, and escalations.
• Ensure AI governance, risk, and compliance processes are followed across the Network Services AI portfolio.
• Drive adoption of approved AI platforms, common tooling, and reusable implementation patterns across Network Services.
• Define and track success metrics, adoption measures, and business outcomes for AI initiatives; report progress, value, and risks to leadership and central stakeholders.
• Lead stakeholder management and internal communications for AI initiatives, including roadmap updates, progress reporting, outcomes, and lessons learned.
• Build AI capability within Network Services by identifying skill gaps, promoting learning, and fostering a community of AI practitioners and SMEs.
• Maintain clear visibility of the Network Services AI portfolio, including use cases, ownership, status, dependencies, risks, and reuse opportunities.
• Provide production support for AI solutions in conjunction with SMEs within the teams.
• Implement critical Run-the-Bank (RTB) and new projects related to Eliza, Eliza AI Hub, Eliza Brain (GCP Google Brain), and Eliza as a Service (EaaS).

Requirements

• Extensive experience in AI technology transformation, product delivery, or enterprise change leadership roles.
• Demonstrated success driving AI or data-driven solutions from idea through implementation and adoption.
• Experience implementing Agentic AI solutions for Infrastructure teams.
• Tech depth in AI agents, LLMs, MCP, MLOps, data/platform architecture.
• Strong knowledge and experience working in network infrastructure, network operations, or enterprise infrastructure environments.
• Experience operating effectively in large, matrixed organizations with multiple stakeholders.
• Strong understanding of governance, risk, compliance, and control requirements for enterprise technology initiatives.
• Excellent communication, stakeholder management, and influencing skills.
• Strong analytical, strategic thinking, and execution capabilities.
• Experience leading Infrastructure / AI teams.
• Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required.

Preferred Qualifications

• 10-12 years of related infrastructure experience; experience in securities or financial services industry is a plus.
• Experience in financial services or another regulated industry.
• Familiarity with AI use cases relevant to infrastructure, operations, and service management.
• Experience working with centralized AI, platform, architecture, or governance teams.
• Experience defining KPIs, business cases, and value realization frameworks for enterprise technology initiatives.

Benefits

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.