Senior Vice President, Production Services Infrastructure Support

Senior Vice President, AI Enablement Lead for Network ServicesBNY is seeking a Senior Vice President, AI Enablement Lead for Network Services in New York, NY to drive the responsible adoption, execution, and value realization of AI capabilities across the organization. This role will lead AI demand intake and prioritization for Network Services, coordinate end-to-end delivery across stakeholders, ensure adherence to governance and compliance requirements, and accelerate adoption of approved enterprise AI platforms and reusable patterns.The ideal candidate will bring a strong track record of leading AI-enabled transformation together with a solid understanding of network infrastructure and operational environments. This individual will serve as a strategic connector across Network Services, business stakeholders, and central AI teams, ensuring that AI opportunities are selected effectively, executed consistently, and translated into measurable business outcomes.In this role, you'll make an impact in the following ways:Drive and deliver high-complexity, re-usable 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.Coordinate 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.Monitor performance and adoption of AI solutions and drive continuous improvement based on feedback and results.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 teamsImplement 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).To be successful in this role, we're seeking the following:QualificationsExtensive experience in AI doing 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 the Agentic AI solutions for the Infrastructure teamsTechnical depth: AI agents, LLMs, MCP, MLOps, data/platform architectureStrong 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 the Infrastructure / AI teamsPreferred10 -12 years of related infrastructure experience required; experience in the securities or financial services industry is a plusExperience 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.