VP, AI Change & Portfolio Manager at BNY

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Change Management, Portfolio Leadership, Program Management, AI Solutions, MLOps Practices, Programming Skills, Cloud Platforms, AI Ethics, Data Privacy, Training Curricula, Digital Learning Platforms, Analytical Mindset, Collaboration, Communication Skills, Presentation Skills

Industry

Financial Services

Description

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. Workshops & Webinars: Design and lead interactive sessions that walk stakeholders through real-world model deployment scenarios and operational concerns. 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. 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. Collaborative approach, able to work across data science, engineering, operations and business functions. 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

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Responsibilities

The VP, AI Change & Portfolio Manager will develop multi-channel communications to showcase AI solutions and drive adoption through targeted campaigns. They will also act as a central coordinator for troubleshooting AI model issues and define governance policies in partnership with various stakeholders.