Product Director

Visa Visa · Fintech · Austin, TX +1

Product Director role at Visa focused on managing complex, cross-functional projects for commercial data products, including planning, execution, risk management, and stakeholder communication. Requires strong program governance, ability to drive clarity in ambiguity, and experience coordinating global teams. The role involves partnering with Product, Engineering, and Data Platform teams, and coordinating with Compliance, Risk, and Legal. While the JD mentions 'demonstrated experience with integrating AI into routine work' as a preferred qualification, the core responsibilities and function type are product management and program governance within a data management context, not direct AI/ML development or research.

What you'd actually do

  1. Lead end‑to‑end project management of our enhanced data program and other assigned data initiatives, ensuring scope, timelines, and deliverables are met.
  2. Develop and maintain detailed project plans, RAID logs, and governance dashboards.
  3. Facilitate steering committees, working groups, and stakeholder updates.
  4. Partner with Product, Engineering, and Data Platform teams to align priorities and dependencies.
  5. Coordinate with Compliance, Communications, Regional Product, Risk, and Legal to ensure adherence to regulatory and Visa standards.

Skills

Required

  • Bachelor’s Degree or equivalent experience
  • 10 or more years of work experience
  • Project or program management
  • Technology or data-driven environments
  • Manage complex, multi-stakeholder projects with global impact
  • Integrating AI into routine work
  • Communication skills
  • Stakeholder management skills

Nice to have

  • Advanced Degree (e.g. Masters/ MBA/JD/MD)
  • PhD
  • Project management experience at a software or technology company
  • Agile and Waterfall methodologies
  • PMP or similar certification
  • Payment industry experience

What the JD emphasized

  • 10 plus years of experience in project or program management, preferably in technology or data-driven environments
  • Proven ability to manage complex, multi‑stakeholder projects with global impact
  • Demonstrated experience with integrating AI into routine work