Senior Vice President, Client EnablementAt 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 and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary.We’re seeking a future team member for the role of Senior Vice President, AI Change & Portfolio Management to join our Global Payments and Trade team. This role is located in Pune.In this role, you’ll make an impact in the following ways:
- Provide strategic AI portfolio leadership by defining and refining BNY’s AI vision and roadmap in partnership with Treasury Services leadership, translating strategic priorities into actionable programs.
- Lead a global team of AI Change Managers, Portfolio Analysts, and Adoption Specialists, providing mentorship, resource allocation, and performance oversight.
- Sponsor and chair the AI Governance Forum—a cross-functional steering committee including Data Science, IT, Risk & Compliance, Legal, Finance, and business units—to review, approve, and monitor all major AI initiatives.
- Oversee enterprise model lifecycle management ensuring best-practice MLOps across AI/ML model lifecycle stages including requirements definition, versioning, CI/CD pipelines, model serving, monitoring, and automated retraining.
- Coordinate production-grade deployments with Engineering, Cloud/Ops, and Security teams to guarantee resilient, compliant infrastructure.
- Institute enterprise-wide performance monitoring (drift detection, KPI dashboards) and rapid remediation workflows to sustain accuracy and business impact.
- Architect multi-channel adoption programs leveraging roadshows, executive briefings, and an “AI Champions” network to drive engagement and ROI transparency.
- Design and govern a structured change-control process including intake templates, impact assessments, and steering-committee reviews to maintain alignment and regulatory compliance.
- Implement scorecards and governance KPIs, holding business units accountable for integrating AI capabilities into core workflows.
- Establish and operationalize AI governance policies covering model risk, data privacy, ethics, and bias monitoring in collaboration with Legal and Risk functions.
- Sponsor enterprise change-management protocols embedding controls for model updates, release management, and audit readiness.
- Lead quarterly portfolio reviews to steer resource re-prioritization, risk mitigation, and cross-portfolio synergies.
- Act as executive liaison presenting quarterly AI portfolio performance, strategic roadmaps, and impact analyses to the Board and senior leadership forums.
- Curate and publish a fortnightly AI newsletter and maintain an interactive portal for use-case spotlights, metrics dashboards, and governance updates.
- Represent BNY at industry conferences, thought-leadership panels, and internal innovation events to elevate our AI brand.
- Define and sponsor a learning curriculum of workshops, playbooks, and digital tutorials covering AI fundamentals, MLOps practices, and change-management methodologies.
- Oversee delivery of executive-level training sessions ensuring stakeholders understand both the technical underpinnings and business applications of AI solutions.
- Partner with Finance and Analytics to set and track strategic KPIs such as adoption rates, model uptime, performance improvements, and cost efficiencies.
- Develop executive dashboards and scorecards that surface real-time portfolio health and actionable insights for senior stakeholders.
To be successful in this role, we’re seeking the following:
- 10+ years of progressive leadership experience in change management, portfolio or program management, including 5+ years directing large-scale AI/ML transformation programs.
- Deep expertise in AI model development and MLOps (CI/CD for ML, versioning, orchestration tools such as Kubeflow or MLflow).
- Proven ability to establish and govern AI ethics, model risk management, and data-privacy frameworks within a regulated environment.
- Strong executive presence with exceptional communication skills—adept at translating complex technical concepts into strategic business imperatives.
- Demonstrated track record designing and scaling enterprise learning programs and change-management campaigns.
- Analytical mindset with hands-on experience defining, tracking, and reporting on portfolio KPIs to drive accountability and continuous improvement.
- Collaborative leadership style, able to align cross-functional teams across Data Science, Engineering, Operations, Risk, and Business Units.
- Advanced degree in a quantitative discipline (e.g., Data Science, Engineering, Business Analytics) or equivalent experience.
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- America’s Most Innovative Companies, Fortune, 2024
- World’s Most Admired Companies, Fortune, 2024
- Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
- Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024
- “Most Just Companies”, Just Capital and CNBC, 2024
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- Bloomberg’s Gender Equality Index (GEI), 2023
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.
