Senior Director- Machine Learning

Visa Visa · Fintech · Austin, TX

Senior Director- Machine Learning role at Visa, leading multiple engineering teams focused on developing and delivering large-scale, complex services and products powered by transformative technologies, including generative AI. The role involves defining strategy, fostering innovation, ensuring engineering excellence, and managing the end-to-end software development lifecycle for Value Added Services (VAS) products. Requires strong leadership, collaboration with product teams, and experience with AI/ML and payments.

What you'd actually do

  1. Spearhead the design, development, and implementation of innovative technologies and solutions, including generative AI and modern integration patterns.
  2. Develop and execute a strategic vision for the VAS platform that aligns with Visa's business goals and market opportunities.
  3. Own the end-to-end software development lifecycle, ensuring timely delivery of quality, secure, and high-performing solutions with significant business impact.
  4. Hire, retain, and develop high-performing, diverse, global engineering teams.
  5. Drive automation in software development, testing, and deployment processes to enhance productivity and time-to-market.

Skills

Required

  • Leadership of diverse engineering teams
  • Technical leadership in defining and executing product strategy
  • Experience with Generative AI and Machine Learning
  • Agile delivery methodologies
  • Managing complex integration projects
  • Software development lifecycle management
  • API design and integration
  • Security and performance best practices

Nice to have

  • Prior background in payments and AI
  • Experience with modern integration patterns
  • Fostering a culture of innovation

What the JD emphasized

  • Experience with Generative AI and Machine Learning is essential
  • prior background in payments and AI is a strong plus
  • regulatory, security, and privacy standards

Other signals

  • leading multiple development teams
  • defining and executing strategy for AI/ML products
  • integrating new technologies including generative AI
  • driving innovation and engineering excellence