Overview
On Site
USD 81,000.00 - 130,000.00 per year
Full Time
Skills
Financial Services
Treasury
Lifecycle Management
Scalability
Performance Metrics
Provisioning
Intranet
Video
Network
Workflow
Performance Tuning
Risk Management
Partnership
Change Control
IT Risk
Legal
Proposal Writing
Portfolio Management
Meta-data Management
Estimating
Return On Investment
Regulatory Compliance
Thought Leadership
Roadmaps
Impact Analysis
Use Cases
Web Portals
Training Delivery
Content Development
Analytics
Performance Improvement
Cost Reduction
Dashboard
Change Management
Leadership
Program Management
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Orchestration
Python
R
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Artificial Intelligence
Privacy
Communication
Presentations
Training
Management
LMS
Analytical Skill
Reporting
KPI
Accountability
Collaboration
Data Science
LinkedIn
FOCUS
Finance
Market Analysis
SAP BASIS
Job Details
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 VP AI Change & Portfolio Manager to join our Treasury Services team. This role is located in New York, NY- HYBRID
The VP, AI Change & Portfolio Manager will be the architect of our organization's AI transformation-guiding end-to-end model delivery, driving adoption, and embedding governance to sustain long-term value. You'll bridge data science, engineering teams and business stakeholders to ensure AI solutions are designed, deployed, monitored and continuously improved, while championing change management practices that secure enterprise-wide engagement and accountability.
In this role, you'll make an impact in the following ways:
AI Model Lifecycle Management
Partner with data scientists and engineers to define requirements, develop, test and deploy production-grade AI/ML models.
Establish MLOps best practices-versioning, CI/CD pipelines, model serving and automated retraining workflows-to ensure reliability and scalability.
Monitor model performance in production (drift detection, performance metrics) and coordinate remediation or retraining to sustain accuracy and business impact.
Collaborate with IT and Cloud/Ops teams on infrastructure provisioning, security, and compliance for AI workloads.
Adoption and Accountability
Building Awareness: Develop multi-channel communications (roadshows, email campaigns, intranet microsites) to showcase AI solutions and ROI.
Empowering Through Education: Design interactive training programs (workshops, how-to guides, video tutorials) that cover both user-facing AI tools (e.g., Copilot) and the underlying model lifecycle.
Driving Adoption: Launch targeted adoption campaigns-kickoff workshops, hackathons, "AI Champions" network-and implement scorecards to hold teams accountable for integrating AI into their workflows.
Client & Stakeholder Support
On-going Support: Act as the central coordinator for troubleshooting AI model issues, tuning performance and scaling deployments.
Ad Hoc Expertise: Serve as the go-to adviser on model interpretability, data requirements, ethical considerations and use-case feasibility.
Governance & Change Management
Governance Framework: Define and operationalize AI governance policies (model risk management, data privacy, bias monitoring) in partnership with Legal, Risk and the AI Hub.
Change Advocacy: Embed structured change-control processes-change requests, impact assessments, steering-committee reviews-to maintain compliance and alignment.
Governance Forum & Portfolio Prioritization
Communication & Thought Leadership
Executive Liaison: Translate senior management's AI vision into clear roadmaps and deliverables; present status updates and impact analyses at leadership forums.
Fortnightly Newsletter & SharePoint: Curate content-use-case spotlights, metrics dashboards, upcoming milestones-and maintain a dynamic portal for all AI-related resources.
Material Creation & Training Delivery
Content Development: Author comprehensive training materials, including best-practice playbooks on model development and sustaining AI at scale.
Workshops & Webinars: Design and lead interactive sessions that walk stakeholders through real-world model deployment scenarios and operational concerns.
Metrics, KPIs & Reporting
Define Success Metrics: Partner with Finance and Analytics to set measurable targets for model adoption, uptime, performance improvement and cost savings.
Dashboards & Scorecards: Build and maintain reporting tools to track AI portfolio health and surface insights to senior leadership.
To be successful in this role, we're seeking the following:
5+ years in change management, portfolio leadership or program management-plus 3+ years of hands-on experience building, deploying and maintaining AI/ML solutions in production.
Deep understanding of AI model development and MLOps practices (CI/CD for ML, model versioning, orchestration tools such as Kubeflow, MLflow, or equivalent).
Strong programming skills (Python, R or similar) and familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) for AI workloads.
Demonstrated ability to establish governance frameworks around AI ethics, model risk and data privacy.
Exceptional communication and presentation skills-comfortable translating technical concepts for business audiences.
Proven track record designing and delivering training curricula and managing digital learning platforms (SharePoint, LMS).
Analytical mindset with experience defining, tracking and reporting on KPIs to drive accountability.
Collaborative approach, able to work across data science, engineering, operations and business functions.
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:
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.
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 assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $81,000 and $130,000 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
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 VP AI Change & Portfolio Manager to join our Treasury Services team. This role is located in New York, NY- HYBRID
The VP, AI Change & Portfolio Manager will be the architect of our organization's AI transformation-guiding end-to-end model delivery, driving adoption, and embedding governance to sustain long-term value. You'll bridge data science, engineering teams and business stakeholders to ensure AI solutions are designed, deployed, monitored and continuously improved, while championing change management practices that secure enterprise-wide engagement and accountability.
In this role, you'll make an impact in the following ways:
AI Model Lifecycle Management
Partner with data scientists and engineers to define requirements, develop, test and deploy production-grade AI/ML models.
Establish MLOps best practices-versioning, CI/CD pipelines, model serving and automated retraining workflows-to ensure reliability and scalability.
Monitor model performance in production (drift detection, performance metrics) and coordinate remediation or retraining to sustain accuracy and business impact.
Collaborate with IT and Cloud/Ops teams on infrastructure provisioning, security, and compliance for AI workloads.
Adoption and Accountability
Building Awareness: Develop multi-channel communications (roadshows, email campaigns, intranet microsites) to showcase AI solutions and ROI.
Empowering Through Education: Design interactive training programs (workshops, how-to guides, video tutorials) that cover both user-facing AI tools (e.g., Copilot) and the underlying model lifecycle.
Driving Adoption: Launch targeted adoption campaigns-kickoff workshops, hackathons, "AI Champions" network-and implement scorecards to hold teams accountable for integrating AI into their workflows.
Client & Stakeholder Support
On-going Support: Act as the central coordinator for troubleshooting AI model issues, tuning performance and scaling deployments.
Ad Hoc Expertise: Serve as the go-to adviser on model interpretability, data requirements, ethical considerations and use-case feasibility.
Governance & Change Management
Governance Framework: Define and operationalize AI governance policies (model risk management, data privacy, bias monitoring) in partnership with Legal, Risk and the AI Hub.
Change Advocacy: Embed structured change-control processes-change requests, impact assessments, steering-committee reviews-to maintain compliance and alignment.
Governance Forum & Portfolio Prioritization
- Establish an AI Governance Forum: Convene a cross-functional steering committee-including representatives from Data Science, IT, Risk & Compliance, Legal, Finance and Business Units-to review, approve and oversee all AI initiative submissions.
Intake Process & Central Repository: Design a standardized proposal template and implement a centralized repository (SharePoint catalog or AI portfolio management tool) to capture initiative metadata-objectives, data requirements, resource estimates, risk ratings and expected ROI.
Prioritization Methodology: Develop a consistent scoring model and prioritization rubric based on strategic alignment, business value, technical feasibility, risk profile and compliance impact.
Quarterly Portfolio Reviews: Facilitate regular forum meetings to evaluate progress, re-prioritize initiatives, allocate resources and surface any governance or change-management risks.
Communication & Thought Leadership
Executive Liaison: Translate senior management's AI vision into clear roadmaps and deliverables; present status updates and impact analyses at leadership forums.
Fortnightly Newsletter & SharePoint: Curate content-use-case spotlights, metrics dashboards, upcoming milestones-and maintain a dynamic portal for all AI-related resources.
Material Creation & Training Delivery
Content Development: Author comprehensive training materials, including best-practice playbooks on model development and sustaining AI at scale.
Workshops & Webinars: Design and lead interactive sessions that walk stakeholders through real-world model deployment scenarios and operational concerns.
Metrics, KPIs & Reporting
Define Success Metrics: Partner with Finance and Analytics to set measurable targets for model adoption, uptime, performance improvement and cost savings.
Dashboards & Scorecards: Build and maintain reporting tools to track AI portfolio health and surface insights to senior leadership.
To be successful in this role, we're seeking the following:
5+ years in change management, portfolio leadership or program management-plus 3+ years of hands-on experience building, deploying and maintaining AI/ML solutions in production.
Deep understanding of AI model development and MLOps practices (CI/CD for ML, model versioning, orchestration tools such as Kubeflow, MLflow, or equivalent).
Strong programming skills (Python, R or similar) and familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) for AI workloads.
Demonstrated ability to establish governance frameworks around AI ethics, model risk and data privacy.
Exceptional communication and presentation skills-comfortable translating technical concepts for business audiences.
Proven track record designing and delivering training curricula and managing digital learning platforms (SharePoint, LMS).
Analytical mindset with experience defining, tracking and reporting on KPIs to drive accountability.
Collaborative approach, able to work across data science, engineering, operations and business functions.
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.
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 assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $81,000 and $130,000 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.