Vice President, Production Services Infrastructure Support
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Key details
- Location
- Pittsburgh, PA, United States
- Work style
- Onsite
- Level
- Lead / Staff+
- Job type
- Full-time
- Experience
- 10–12 yrs
- Function
- Operations & Strategy
- Focus area
- other
- Posted
- 3w ago
Skills
About the role
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
BNY is seeking a Vice President, AI Operations & Execution Lead for Network Services in Pittsburgh, PA or Lake Mary, FL to execute the Network Services AI agenda under the SVP’s direction by managing demand intake, coordinating delivery, supporting governance and control compliance, driving adoption, tracking value realization, and providing clear portfolio visibility and stakeholder communications.
The ideal candidate will bring a strong track record of an execution and coordination of AI initiatives together with a solid understanding of Network infrastructure and operational environments.
In this role, you’ll make an impact in the following ways:
Deliver high-complexity, re-usable AI Capabilities and AI transformation to achieve efficiencies with SMEs within the teams.
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 to support execution of approved AI use cases.
Track progress, dependencies, risks, issues, KPIs/KRIs, and portfolio status; provide regular reporting and escalation.
Support governance processes to ensure AI initiatives align with enterprise standards, controls, and risk e