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BNY

Senior Vice President, AI Enablement Lead – Network Services

Reposted One Month Ago
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Hybrid
Lake Mary, FL
50K-200K Annually
Senior level
Hybrid
Lake Mary, FL
50K-200K Annually
Senior level
The role involves leading AI transformation initiatives, managing AI capabilities, ensuring governance and compliance, and driving adoption of AI solutions in Network Services.
The summary above was generated by AI

Senior Vice President, AI Enablement Lead – Network Services

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.

We’re seeking a future team member for the role of Senior Vice President, AI Enablement Lead – Network Services to join our Network Services team. This role is located in Pittsburgh, PA or Lake Mary, FL.

In this role, you’ll make an impact in the following ways:

  • 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.
  • 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 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).

To be successful in this role, we’re seeking the following:

  • 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, 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.

At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn

Here’s a few of our recent awards:
America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:
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.

About the Team

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

 Here’s a few of our recent awards:

  • America’s Most Innovative Companies, Fortune, 2025
  • World’s Most Admired Companies, Fortune 2025
  • “Most Just Companies”, Just Capital and CNBC, 2025

    Our Benefits and Rewards:

    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.

    BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. 

    Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee’s eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    If hired, the employee will be in an “at will” position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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