Director, AI/ML Platform
About the position
Responsibilities
- 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.
- 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.
- 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.
Requirements
- 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
- 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.
- 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.
- 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
Nice-to-haves
- 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
- 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.
Benefits
- Medical
- Dental
- Vision
- 401 (k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness Program
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