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HomeCompaniesEofe Fa Us2 Oraclecloud Com CX 1001Director, Applied AI Product Manager

Director, Applied AI Product Manager

Eofe Fa Us2 Oraclecloud Com CX 1001 · New York, NY, United States; 240 Greenwich Street,New York,NY, New York, NY, US · On Site · Active · $127,000–$250,000 / day · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEofe Fa Us2 Oraclecloud Com CX 1001
TitleDirector, Applied AI Product Manager
Normalized title-
Department / teamProduct Management
LocationNew York, NY, United States
Work modelOn Site
Employment typeFull Time
Salary$127,000–$250,000 / day
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-05 / 2026-06-06
Changed / last seen2026-06-06 / 2026-06-06

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Linked records

CompanyEofe Fa Us2 Oraclecloud Com CX 1001
Source2ab30404-9fac-46ac-a11b-a1c843cac1c5
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Director, Applied AI Product Manager: 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 Director, Applied AI Product Manager to join our Innovation Team and 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. This role is located in New York, NY (4 days in office per week). Role Overview: As Director, Applied AI Product Manager, you will define and drive the strategy for AI-powered process transformation across enterprise functions. You will lead cross-functional teams to design, build, and scale agentic and intelligent automation solutions that reduce risk, improve operational efficiency, and enhance client experiences. You will operate at the intersection of Product, Engineering, Data Science, Operations, Risk, and Compliance—ensuring solutions are secure, explainable, scalable, and production-ready. In this role, you’ll make an impact in the following ways: Product Vision & Strategy 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 (transform business processes into digital products) 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 AI-Native Process Reimagination at Scale 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 Execution & Cross-Functional Delivery 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 Enterprise & Stakeholder Leadership 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 Impact Measurement & Outcomes 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 To be successful in this role, we’re seeking the following: Required 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 Agentic architectures and orchestration frameworks Distributed systems and microservices Event-driven design APIs and integration layers Metadata indexing and retrieval systems AI lifecycle management and model performance metrics Experience operationalizing enterprise-grade AI systems with: Secure tenant-aware access controls Observability and telemetry Production reliability standards Demonstrated ability to influence senior leadership and drive alignment across large organizations Preferred 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 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 base salary for this position is expected to be between $127,000 and $250,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Full job record

Job ID036c78acac497c58395b7b44394d46661053fef0
Org ID355f81e9-24d0-454a-b065-730624e2adc2
Source ID2ab30404-9fac-46ac-a11b-a1c843cac1c5
Board ID2ab30404-9fac-46ac-a11b-a1c843cac1c5
Provideroracle_hcm
Provider Job Key73907
TitleDirector, Applied AI Product Manager
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY, United States; 240 Greenwich Street,New York,NY, New York, NY, US
DepartmentProduct Management
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNY
CityNew York
Salary RawDescription Director, Applied AI Product Manager: 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 Director, Applied AI Product Manager to join our Innovation Team and 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. This role is located in New York, NY (4 days in office per week). Role Overview: As Director, Applied AI Product Manager, you will define and drive the strategy for AI-powered process transformation across enterprise functions. You will lead cross-functional teams to design, build, and scale agentic and intelligent automation solutions that reduce risk, improve operational efficiency, and enhance client experiences. You will operate at the intersection of Product, Engineering, Data Science, Operations, Risk, and Compliance—ensuring solutions are secure, explainable, scalable, and production-ready. In this role, you’ll make an impact in the following ways: Product Vision & Strategy 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 (transform business processes into digital products) 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 AI-Native Process Reimagination at Scale 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 Execution & Cross-Functional Delivery 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 Enterprise & Stakeholder Leadership 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 Impact Measurement & Outcomes 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 To be successful in this role, we’re seeking the following: Required 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 Agentic architectures and orchestration frameworks Distributed systems and microservices Event-driven design APIs and integration layers Metadata indexing and retrieval systems AI lifecycle management and model performance metrics Experience operationalizing enterprise-grade AI systems with: Secure tenant-aware access controls Observability and telemetry Production reliability standards Demonstrated ability to influence senior leadership and drive alignment across large organizations Preferred 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 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 base salary for this position is expected to be between $127,000 and $250,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.
Salary Min127,000
Salary Max250,000
Salary CurrencyUSD
Salary Periodday
Source URLhttps://eofe.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/73907
Apply URLhttps://eofe.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/73907
First Seen At2026-06-06 11:18:33Z
Last Seen At2026-06-06 19:42:45Z
Last Checked At2026-06-06 19:42:45Z
Last Changed At2026-06-06 11:18:33Z
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Source Posted At2026-06-05 02:46:37Z
Source Updated At
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    "ExternalDescriptionStr": "<div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>Director, Applied AI Product Manager:</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>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.&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>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.&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>We’re seeking a future team member for the role of Director, Applied AI Product Manager to join our Innovation Team and 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.&nbsp;&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>This role is located in New York, NY (4 days in office per week).&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>Role Overview:</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>As Director, Applied AI Product Manager, you will define and drive the strategy for AI-powered process transformation across enterprise functions. You will lead cross-functional teams to design, build, and scale agentic and intelligent automation solutions that reduce risk, improve operational efficiency, and enhance client experiences. You will operate at the intersection of Product, Engineering, Data Science, Operations, Risk, and Compliance—ensuring solutions are secure, explainable, scalable, and production-ready.&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>In this role, you’ll make an impact in the following ways:&nbsp;</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>Product Vision &amp; Strategy</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Define and own the product vision, strategy, and roadmap for AI-driven business process transformation initiatives with key business stakeholders&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Responsible for client segment strategies, market/competitive analysis, pricing, commercialization and GTM, revenue/organic growth objectives&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Align roadmap priorities to enterprise modernization, AI strategy, and operational efficiency objectives&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Identify high-value opportunities for AI, intelligent automation, LLMs, and agentic architectures to eliminate manual workflows and enhance decision intelligence (transform business processes into digital products)&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Translate ambiguous, complex business problems into clear product tenets, PR/FAQs, and scalable execution plans&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Champion an AI-first mindset across the organization, embedding modern product thinking and experimentation frameworks&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>AI-Native Process Reimagination at Scale</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Oversee orchestration frameworks spanning:&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Event-driven architecture&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>APIs and microservices&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Workflow engines and state management&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Metadata-aware retrieval systems&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Multi-agent coordination models&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Balance innovation velocity with enterprise-grade reliability and governance&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Partner with Engineering and Data Science to operationalize AI at scale, incorporating model lifecycle management, observability, guardrails, and performance optimization&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Ensure responsible AI governance, addressing bias, explainability, privacy, data security, and operational resilience&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>Execution &amp; Cross-Functional Delivery</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Influence senior executives on investment prioritization and enterprise adoption&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Translate complex AI and agentic concepts into clear, outcome-driven business narratives&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Drive adoption through executive storytelling and structured change management&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Lead a high-performing product team with strong systems-thinking capabilities&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Remove blockers, align stakeholders, and ensure consistent value delivery across concurrent workstreams&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>Enterprise &amp; Stakeholder Leadership</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Partner with senior executives and enterprise stakeholders to align AI strategies with business objectives&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Role model practice proficiency + liaison responsibilities across product, design, engineering, and commercial practices to communicate vision, strategy, progress, and measurable impact to leadership&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Drive field-to-product feedback mechanisms to continuously refine AI solutions for enterprise-grade performance&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Enable adoption through playbooks, governance frameworks, and change management strategies&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>Impact Measurement &amp; Outcomes</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Define and track clear success metrics including:&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Multi-product portfolio integration, trade-off decisioning, portfolio scorecards and enterprise checkpoints (OKRs, controls)&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Productivity gains and operational efficiency improvements (e.g., 20-50% time reduction)&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Cost savings and automation impact&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Risk mitigation and compliance enhancements&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Client experience and engagement growth&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Demonstrate measurable business impact through scalable AI platforms and intelligent workflow transformation&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>To be successful in this role, we’re seeking the following:</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>Required</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Bachelor's degree in STEM, Economics, or related discipline&nbsp;&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>~10+ years of progressive experience in Applied AI product management, program leadership, or AI-driven platform delivery&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Strong understanding of:&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Generative AI and LLM-powered systems&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Agentic architectures and orchestration frameworks&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Distributed systems and microservices&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Event-driven design&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>APIs and integration layers&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Metadata indexing and retrieval systems&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>AI lifecycle management and model performance metrics&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Experience operationalizing enterprise-grade AI systems with:&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Secure tenant-aware access controls&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Observability and telemetry&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Production reliability standards&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Demonstrated ability to influence senior leadership and drive alignment across large organizations&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>Preferred</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Experience in highly regulated industries&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Experience operationalizing AI solutions for Big Tech or Fortune 500 enterprises&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Certifications: CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, Generative AI specialization.&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>Advanced degree preferred&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>At BNY, our culture speaks for itself, check out the latest BNY news at:</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><a href=\"https://www.bny.com/corporate/global/en/about-us/newsroom.html\" target=\"_blank\" rel=\"nofollow\"><span><u>BNY Newsroom</u></span></a><span>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><a href=\"https://www.linkedin.com/uas/login?session_redirect=https://www.linkedin.com/company/bnyglobal/posts/?feedView=all\" target=\"_blank\" rel=\"nofollow\"><span><u>BNY LinkedIn</u></span></a><span>&nbsp;&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>Here’s a few of our recent awards:&nbsp;&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>America’s Most Innovative Companies, Fortune, 2025&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>World’s Most Admired Companies, Fortune 2025&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><ul><li><span>“Most Just Companies”, Just Capital and CNBC, 2025&nbsp;</span></li></ul></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span><strong>Our Benefits and Rewards:</strong>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>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.&nbsp;&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>&nbsp;&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $127,000 and $250,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.&nbsp;&nbsp;</span></p></div><div style=\"font-style: normal; font-weight: 400; margin: 0px; padding: 0px;\"><p><span>This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.&nbsp;</span></p></div><p>&nbsp;</p>",
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