BNY is seeking a VP AI Change & Portfolio Manager to guide end-to-end model delivery, drive adoption, and embed governance to sustain long-term value in their AI transformation
Requirements
- 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, GCP) 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
Responsibilities
- 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
- 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
- Define Success Metrics: Partner with Finance and Analytics to set measurable targets for model adoption, uptime, performance improvement and cost savings
Other
- Collaborative approach, able to work across data science, engineering, operations and business functions
- Executive Liaison: Translate senior management’s AI vision into clear roadmaps and deliverables; present status updates and impact analyses at leadership forums
- 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
- BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans
