BNY is seeking a Senior Vice President, AI Governance – Safety & Observability to help mature the firm’s enterprise AI governance capabilities as AI adoption scales across platforms, workflows, and business processes. This role will support the development and execution of governance standards, controls, monitoring routines, reporting, and operating practices that help ensure AI capabilities are responsibly managed across their lifecycle. The role will be located in New York, NY.
The role will work across AI Hub, product, engineering, data, model risk, technology risk, cybersecurity, compliance, legal, audit, and business teams to improve governance consistency, reduce risk, simplify approval pathways, and enable better end-to-end visibility across the AI environment. The ideal candidate will bring experience in AI governance, technology risk, model lifecycle oversight, controls, data governance, or enterprise technology delivery, with the ability to translate governance expectations into practical operating routines, workflow automations, and measurable outcomes.
In this role, you’ll make an impact in the following ways:
- Build AI observability practices: Support monitoring standards and reporting for AI systems, including usage, output quality, safety signals, policy adherence, exceptions, incidents, performance, and operational health.
- Advance enterprise AI governance practices: Support the build-out of observability tooling, process, workflows, frameworks, standards, controls, dashboards, and operating routines that improve visibility into AI use, risks, ownership, incidents, and control adherence.
- Accelerate AI solution selection and deployment: Help product and engineering teams assess AI solutions, understand approval requirements, prepare governance evidence, and move from evaluation to production with greater speed and consistency.
- Create governance-enablement agents and workflows: Develop or support AI-enabled agents, workflow automations, templates, and decision-support tools that streamline intake, triage, documentation, review readiness, approval routing, and control evidence collection.
- Mature AI safety capabilities: Help define and operationalize safety expectations across AI use cases, including responsible use, human oversight, fallback handling, escalation paths, documentation, and safe operation of AI-enabled capabilities.
- Support end-to-end AI lifecycle governance: Help define and execute governance checkpoints across AI use-case intake, design, development, testing, deployment, monitoring, and ongoing production use.
- Streamline governance and approval processes: Partner with product, engineering, risk, and control teams to reduce duplication, clarify ownership, simplify review steps, and improve consistency across AI initiatives.
- Enable governance transparency: Create and maintain executive-ready reporting, metrics, KRIs, KPIs, and dashboards that provide visibility into AI portfolio health, governance status, control gaps, and remediation progress.
- Partner across risk and control functions: Work with model risk, technology risk, cybersecurity, compliance, legal, privacy, audit, and data governance teams to align AI governance practices with enterprise standards.
- Support resiliency and incident readiness: Help define expectations for reliability, continuity, escalation, fallback procedures, issue management, and operational response for critical AI-enabled services.
- Advise delivery teams on governance readiness: Provide practical guidance to product and engineering teams on governance requirements, review readiness, control evidence, monitoring needs, and production preparedness.
- Prepare senior stakeholder materials: Develop clear narratives, decision materials, status updates, and governance findings for senior leaders and cross-functional forums.
To be successful in this role, we’re seeking the following:
- Bachelor’s degree in computer science, information technology, mathematics/statistics or the equivalent combination of education and experience is required.
- 7-10 years of experience in Observability, Engineering, Monitoring, Metrics, systemic behavioral analytics or related roles.
- Experience supporting or leading observability and systemic metrics activities across technology, data, analytics, AI, automation, applications, or model-enabled capabilities.
- Strong understanding of AI lifecycle management, design, testing, monitoring, documentation, approval workflows, and production oversight.
- Experience creating valuable observability, monitoring, risk reporting, operational metrics, control dashboards, issue management, or production readiness practices.
- Experience mining detail with observability tools such as Splunk, Dynatrace, Arize AX / Phoenix, Langfuse, Langsmith, Braintrust, Graphana, and data extraction techniques from various sources
- Ability to translate governance, risk, and control expectations into practical requirements, tools, templates, workflows, and approval pathways that product and engineering teams can execute.
- Familiarity with GenAI agents, decision-support tools, or automation approaches that improve governance efficiency is preferred.
- Strong analytical and problem-solving skills, with the ability to identify risks, assess root causes, define remediation plans, and track progress.
- Strong communication skills, including the ability to prepare executive-level materials and explain complex AI governance topics clearly to technical and non-technical stakeholders.
- Demonstrated ability to work across matrixed teams and influence stakeholders across product, engineering, risk, compliance, audit, and business functions.
Preferred qualifications:
- Experience in financial services, banking, asset servicing, asset management, payments, markets, or another regulated industry.
- Exposure to GenAI, LLM applications, agentic workflows, model lifecycle management, or AI platform governance.
- Familiarity with responsible AI principles, AI safety practices, model evaluation, output-quality monitoring, incident management, risk taxonomies, and control frameworks.
- Experience using or designing dashboards, KRIs, KPIs, issue trackers, governance repositories, workflow tools, approval workflows, or enterprise reporting routines.
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.
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.