Director of Product Management, AI/ML Platforms

Visa•Bellevue, CA

4d•Hybrid

About The Position

The Artificial Intelligence and Machine Learning (AI/ML) Platforms team is building the next generation of scalable and responsible AI/ML infrastructure and services to power products that solve real-world consumer challenges. This role will collaborate cross-functionally with business leaders, data scientists, software engineers, AI/ML engineers, data engineers, and program managers, focusing on scaling AI/ML platforms with cloud and Generative AI capabilities and driving adoption of platforms that deliver measurable value across the payment ecosystem. Visa’s AI/ML models and products are integral to the global economy, playing a critical role in preventing fraud within the payments landscape and delivering significant value to internal and external clients. Our platforms enable hundreds of millions of dollars in revenue for Visa and safeguard billions of dollars in payment transactions.

Requirements

10+ years of professional experience with a bachelor’s degree, or 8+ years with an advanced degree (Master’s/MBA), or 8+ years with a PhD.

Nice To Haves

5+ years of people management experience.
10+ years of experience in product management or platform leadership roles in data and AI transformation or cloud migration.
Product Management Minimum 8 years in product management with a proven track record of delivering complex products in matrixed organizations.
Experience influencing senior stakeholders and driving consensus across complex organizations.
Proficiency in Agile methodologies and tools (JIRA, Confluence, Tableau).
Experience in highly technical, fast-paced environments.
Advanced skills in Microsoft Office and familiarity with product lifecycle management for AI/ML platforms.
Technical and AI/ML Competencies Deep expertise in AI/ML concepts, platforms, and tools, enabling the design and delivery of enterprise-grade solutions.
Hands-on experience with cloud-native AI/ML stacks and large-scale systems across AWS, GCP, and Azure.
Proficiency in data science, deep learning, GenAI, and big data technologies, driving innovation and scalability.
Strong knowledge of MLOps frameworks, CI/CD pipelines, containerization (Docker, Kubernetes), and model governance, ensuring operational excellence and compliance.
Understanding of responsible AI principles and ethical considerations, promoting trust and transparency in AI solutions.
Business Acumen & Industry Expertise Strong ability to align AI/ML capabilities with strategic outcomes in financial services and payments.
Hands-on experience applying AI/ML to real-world challenges (fraud detection, credit risk, payment systems).
Knowledge of regulatory compliance and data privacy in enterprise AI/ML contexts.

Responsibilities

Platform Strategy Define and execute the AI/ML platform NorthStar strategy and roadmap, ensuring alignment with Visa’s global data, AI/ML, and business objectives.
Partner with business and technology to develop a comprehensive plan for migrating AI/ML workloads to the cloud.
Monitor market trends, competitive dynamics, and client needs to guide platform evolution and long-term planning.
Advocate for exceptional customer experiences powered by advanced AI capabilities.
Leadership & Product Management Lead cross-functional teams of product managers, engineers, and data scientists in a matrixed organization to translate customer needs into platform capabilities.
Directly manage a team of product managers; foster a culture of innovation, accountability, and operational excellence.
Own the product definition and delivery of Visa’s AI/ML stack across both cloud and on-premises environments.
Drive conceptualization, prototyping, and launch of AI-powered solutions at the intersection of payments and technology.
Build business cases for new AI/ML capabilities and continuously evolve platform features to meet practitioner needs.
Partner with business units, product leaders, and engineering teams to ensure alignment and flawless execution.
Represent Visa in engagements with public cloud providers (AWS SageMaker, Google Vertex AI, Microsoft Azure ML) and internal stakeholders.
Technical & Delivery Excellence Define detailed platform requirements, acceptance criteria, and success metrics (e.g., SLAs, operational KPIs).
Apply hands-on expertise in designing cloud-native architectures and enterprise-scale applications on the cloud.
Lead backlog grooming and facilitate collaboration across product, engineering, and data science teams.
Ensure platform capabilities meet compliance, model risk management, and onboarding requirements.
Oversee development and delivery to ensure adherence to timelines, quality standards, and strategic objectives.