Senior Vice President, Production Services Infrastructure Support

BNY Mellon•New York, NY

11h

About The Position

BNY is seeking a Senior Vice President to lead AI enablement for Network Services in New York, NY. The role drives responsible adoption, execution, and value realization of AI capabilities across the organization. It leads AI demand intake and prioritization, coordinates delivery across stakeholders, supports governance and compliance, and encourages adoption of approved enterprise AI platforms and reusable patterns. The position serves as a strategic connector among Network Services, business stakeholders, and central AI teams to ensure AI opportunities are selected, delivered consistently, and tied to measurable outcomes. The role also provides production support for AI solutions in conjunction with team SMEs and implements critical Run-the-Bank 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.
Technical depth in AI agents, LLMs, MCP, MLOps, and data/platform architecture.
Strong knowledge and experience 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 or AI teams.
10–12 years of related infrastructure experience.

Nice To Haves

Experience in the securities or financial services industry.
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.

Responsibilities

Drive and deliver high-complexity, reusable AI capabilities and AI transformation to achieve efficiencies with team SMEs.
Own AI demand intake and prioritization across Network Services, assessing 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, managing 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.
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 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 team SMEs.
Implement critical Run-the-Bank and new projects related to Eliza, Eliza AI Hub, Eliza Brain (GCP Google brain), and Eliza as a Service (EaaS).