Vice President, Production Services Infrastructure Support
About The Position
BNY is seeking a Vice President to execute the Network Services AI agenda under the SVP’s direction. The role manages demand intake, coordinates delivery, supports governance and control compliance, drives adoption, tracks value realization, and provides portfolio visibility and stakeholder communications. The successful candidate will combine experience executing and coordinating AI initiatives with a strong understanding of network infrastructure and operational environments. The position delivers reusable AI capabilities and transformation with team subject-matter experts, coordinates approved use cases across engineering, production services, architecture, and other stakeholders, and supports production operations for AI solutions. It also implements Run-the-Bank and new projects involving Eliza, Eliza AI Hub, Eliza Brain (GCP Google brain), and Eliza as a Service (EaaS). The role tracks progress, dependencies, risks, issues, KPIs/KRIs, and outcomes; supports enterprise governance and controls; and leads communications, enablement, and adoption activities. The role is based in Pittsburgh, Pennsylvania, or Lake Mary, Florida. BNY describes its compensation and benefits as competitive and notes that eligible employees may receive incentive awards and enroll in benefit plans, subject to applicable terms and eligibility.
Requirements
- Strong knowledge and experience in network infrastructure, network operations, or enterprise infrastructure environments.
- Technical depth in AI agents, LLMs, MCP, MLOps, and data/platform architecture.
- Experience in engineering, production services, service management, or technology program/delivery leadership.
- Experience coordinating cross-functional delivery and managing stakeholders in a controlled technology environment.
- Familiarity with monitoring, incident/problem/change management, operational resiliency, and performance reporting.
- Strong understanding of governance, risk, compliance, and control requirements for enterprise technology initiatives.
- Experience implementing Agentic AI solutions for infrastructure teams.
- Demonstrated success taking AI or data-driven solutions from idea through implementation and adoption.
- Strong analytical, strategic-thinking, and execution capabilities.
- 10–12 years of related infrastructure experience required.
- Experience supporting automation, analytics, or AI-enabled operational improvement initiatives.
- Knowledge of governance, risk/control, and KPI/KRI tracking in enterprise technology environments.
- Strong communication and change/adoption capabilities across broad stakeholder groups.
- Experience in financial services or another regulated industry.
- Familiarity with AI use cases relevant to infrastructure, operations, and service management.
- Experience defining KPIs, business cases, and value-realization frameworks for enterprise technology initiatives.
Nice To Haves
- Experience in the securities or financial services industry is a plus.
- Experience supporting automation, analytics, or AI-enabled operational improvement initiatives.
- Knowledge of governance, risk/control, and KPI/KRI tracking in enterprise technology environments.
- Strong communication and change/adoption capability across broad stakeholder groups.
- Experience in financial services or another regulated industry.
- Familiarity with AI use cases relevant to infrastructure, operations, and service management.
- Experience defining KPIs, business cases, and value-realization frameworks for enterprise technology initiatives.
Responsibilities
- Deliver high-complexity, reusable AI capabilities and AI transformation to achieve efficiencies with team subject-matter experts.
- Manage AI demand intake and help prioritize work against business, operational, resiliency, and control needs.
- Coordinate delivery across engineering, production services, architecture, and relevant stakeholders for approved AI use cases.
- Track progress, dependencies, risks, issues, KPIs/KRIs, and portfolio status; provide regular reporting and escalation.
- Support governance processes to align AI initiatives with enterprise standards, controls, and risk expectations.
- Drive adoption and change management for delivered AI capabilities, including communications, enablement, and community-building activities.
- Measure and report business and operational impact, maintaining visibility of outcomes against plan.
- Provide production support for AI solutions in conjunction with team subject-matter experts.
- 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).
- Communicate clearly and frequently with relevant stakeholders; execute with ownership and follow-through.
- Collaborate across teams, influence without hierarchy, support a learning culture, and drive continuous improvement with sound risk awareness.
Benefits
- Competitive compensation and benefits, including wellbeing programs.
- Potential eligibility for an annual discretionary incentive award.
- Eligible employees may enroll in a 401(k) plan.
- Eligible employees may participate in company-sponsored medical, dental, vision, and basic life insurance plans for themselves and eligible dependents.
- Various paid time off benefits, such as vacation and sick time, depending on position and eligibility.
- Generous paid leaves, including paid volunteer time.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
