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About the Role
Lead AI-driven business transformation initiatives that reimagine how work gets done across the bank. This leader will combine deep technical fluency in AI systems with strong product strategy and execution experience in large, complex organizations. The ideal candidate has successfully built and scaled AI-enabled platforms, led multidisciplinary teams, and driven measurable business outcomes in regulated enterprise environments.
Responsibilities
- Define and own the product vision, strategy, and roadmap for AI-driven business process transformation initiatives with key business stakeholders
- Responsible for client segment strategies, market/competitive analysis, pricing, commercialization and GTM, revenue/organic growth objectives
- Align roadmap priorities to enterprise modernization, AI strategy, and operational efficiency objectives
- Identify high-value opportunities for AI, intelligent automation, LLMs, and agentic architectures to eliminate manual workflows and enhance decision intelligence
- Translate ambiguous, complex business problems into clear product tenets, PR/FAQs, and scalable execution plans
- Champion an AI-first mindset across the organization, embedding modern product thinking and experimentation frameworks
- Oversee orchestration frameworks spanning: Event-driven architecture, APIs and microservices, Workflow engines and state management, Metadata-aware retrieval systems, Multi-agent coordination models
- Balance innovation velocity with enterprise-grade reliability and governance
- Partner with Engineering and Data Science to operationalize AI at scale, incorporating model lifecycle management, observability, guardrails, and performance optimization
- Ensure responsible AI governance, addressing bias, explainability, privacy, data security, and operational resilience
- Influence senior executives on investment prioritization and enterprise adoption
- Translate complex AI and agentic concepts into clear, outcome-driven business narratives
- Drive adoption through executive storytelling and structured change management
- Lead a high-performing product team with strong systems-thinking capabilities
- Remove blockers, align stakeholders, and ensure consistent value delivery across concurrent workstreams
- Partner with senior executives and enterprise stakeholders to align AI strategies with business objectives
- Role model practice proficiency + liaison responsibilities across product, design, engineering, and commercial practices to communicate vision, strategy, progress, and measurable impact to leadership
- Drive field-to-product feedback mechanisms to continuously refine AI solutions for enterprise-grade performance
- Enable adoption through playbooks, governance frameworks, and change management strategies
- Define and track clear success metrics including: Multi-product portfolio integration, trade-off decisioning, portfolio scorecards and enterprise checkpoints (OKRs, controls), Productivity gains and operational efficiency improvements (e.g., 20-50% time reduction), Cost savings and automation impact, Risk mitigation and compliance enhancements, Client experience and engagement growth
- Demonstrate measurable business impact through scalable AI platforms and intelligent workflow transformation
Requirements
- Bachelor's degree in STEM, Economics, or related discipline
- ~10+ years of progressive experience in Applied AI product management, program leadership, or AI-driven platform delivery
- Strong understanding of Generative AI and LLM-powered systems
- Strong understanding of Agentic architectures and orchestration frameworks
- Strong understanding of Distributed systems and microservices
- Strong understanding of Event-driven design
- Strong understanding of APIs and integration layers
- Strong understanding of Metadata indexing and retrieval systems
- Strong understanding of AI lifecycle management and model performance metrics
- Experience operationalizing enterprise-grade AI systems with Secure tenant-aware access controls
- Experience operationalizing enterprise-grade AI systems with Observability and telemetry
- Experience operationalizing enterprise-grade AI systems with Production reliability standards
- Demonstrated ability to influence senior leadership and drive alignment across large organizations
- Experience in highly regulated industries
- Experience operationalizing AI solutions for Big Tech or Fortune 500 enterprises
- Certifications: CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, Generative AI specialization
- Advanced degree preferred
Skills
- AI
- Product Strategy
- Product Execution
- AI-enabled platforms
- Multidisciplinary teams
- Generative AI
- LLMs
- Agentic architectures
- Orchestration frameworks
- Distributed systems
- Microservices
- Event-driven design
- APIs
- Integration layers
- Metadata indexing
- Retrieval systems
- AI lifecycle management
- Model performance metrics
- Secure tenant-aware access controls
- Observability
- Telemetry
- Production reliability
- Change management
- Systems-thinking
Location
- New York, NY
Work Type
- 4 days in office per week
Experience Level
- Director
- 10+ years
Education Level
- Bachelor's degree in STEM, Economics, or related discipline
- Advanced degree preferred
About the Company
- At BNY, our culture allows us to run our company better and enables employees’ growth and success.
- A leading global financial services company at the heart of the global financial system, influencing nearly 20% of the world’s investible assets.
- 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.