Vice President Engineering, Open Banking

Visa is seeking a seasoned and forwardthinking engineering leader to head our Open Banking Technology organization. As open banking rapidly expands Visa is investing heavily across payments data risk solutions and AIdriven innovationand this role is central to shaping that future.

In this position you will lead a 200 person engineering team distributed across multiple global locations driving the strategy delivery and scale of Visas nextgeneration Open Banking products. You will play a key role in expanding into new markets strengthening product quality and security and accelerating innovation across the portfolio. Partnering closely with product business and executive teams you will help define and deliver the next phase of Visas open banking growth journey.

As Vice President of Engineering you will be a key leader in our organizationchartered to infuse nextgeneration thinking into product development practices anticipate and leverage emerging technologies for strategic advantage and drive innovation initiatives to deliver a highly differentiated product offering to our clients. You will also champion an AIfirst mindset ensuring that machine learning large language models automation and intelligent developer tooling are deeply embedded into how we design platforms build products and operate at global scale.

Essential Functions:

• Strategic & Technology Leadership for Open Banking
  Define the longterm business and technology strategy for the Open Banking vertical aligning platform vision product roadmap and enterprise objectives.
• EndtoEnd Product & Platform Ownership
  Lead planning architecture and delivery of all Open Banking roadmap commitments ensuring platforms are highly scalable secure and compliant.
• LargeScale Engineering Leadership & Talent Development
  Oversee a global 200 engineering organization recruit top leaders cultivate an AIfirst highperformance culture with strong mentoring coaching and technical excellence.
• Engineering Excellence Quality and Operational Integrity
  Champion rigorous engineering practices continuous improvement and bestinclass security reliability and compliance across all systems.
• Culture of Accountability Innovation & Modernization
  Foster ownership empowerment and sustained innovation while driving modernization toward cloudnative realtime AIready platforms and data foundations.
• AI Strategy Client Solutions Innovation & LLM Integration
  Develop and execute an enterprise AI strategy that enhances client solutions (fraud detection risk insights personalization). Deliver highvalue ML/LLM use casesincluding support automation and intelligent payment workflows.
• Developer Productivity & AIEnhanced Engineering Practices
  Accelerate engineering velocity and quality through adoption of AIpowered developer tools intelligent CI/CD and modern engineering best practices.
• Cloud AI Services & Scalable Platform Architecture
  Define and govern cloud AI architecture using AWS/GCP/Azure services vector databases and realtime inference systems optimized for scale cost and compliance.
• Executive Board and Regulatory Representation
  Represent technology in boardlevel discussions regulatory reviews and executive forums articulating strategy risk posture and platform outcomes.

Qualifications :

12 or more years of work experience with a Bachelors Degree or at least 10 years of experience with an Advanced degree (e.g. Masters/ MBA/JD/MD) or at least 8 years of work experience with a PhD
Bachelors or Masters degree in a STEM field with advanced coursework or specialization in AI machine learning or data driven systems preferred.
15 years of relevant experience including 10 years of technical leadership and 10 years of people management leading large distributed global engineering teams.
Proven leadership of 200 global engineers across multiple time zones and cultures with experience scaling complex organizations and AI focused teams.
Expertise in designing and engineering highly available secure scalable platforms including systems that support real time AI/ML workloads and data intensive operations.
Hands on experience implementing cloud native architectures modern design patterns and cloud based AI/ML services (AWS GCP Azure).
Strong command of core engineering best practices SDLC and modern DevOps/MLOps practices including CI/CD automated testing model deployment observability and drift monitoring.
Experience leading AI ML or LLM driven product development including model lifecycle management applied machine learning and integration of large language models into enterprise platforms.
Demonstrated ability to drive adoption of innovative and AI enhanced technologies including developer productivity tools (AI coding assistants intelligent quality tools automated pipelines).
Experience in Agile product development and matrixed organizations with the ability to drive alignment across engineering data AI research product and risk stakeholders.
Proven change management skills especially in modernizing legacy systems transitioning to cloud native and AI ready architectures and transforming engineering organizations with an AI first mindset.
Ability to establish a highly collaborative high performance innovative culture that encourages ownership experimentation responsible AI use and continuous improvement.
Exceptional analytical reasoning creativity and judgment with the ability to balance strategic thinking and hands on technical depthespecially when navigating complex AI related initiatives.
Track record of recruiting growing and retaining high caliber engineering and AI/ML talent and building strong leadership pipelines.
Excellent communication and executive level influence skills including the ability to simplify complex AI concepts for business regulatory and board audiences.
Success operating in both large global enterprises and high growth environments with deep knowledge of financial services payments and Open Banking strongly preferred.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Remote Work :

No

Employment Type :

Full-time