Senior Director - AI Solutions and Emerging Technology

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, VAIaS automates the updates to data, models, and applications. Combined with strong AI governance, VAIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!

Our team needs a Senior Director with strong Data and Machine Learning System development and operations experience, who will contribute to both strategic and tactic planning and execution to continuously advance AI Platform's vision and mission. In this position, you are first a hard-working and versatile data engineering leader that can work in a multifaceted environment as a member of Agile scrum teams.

You will be an integral part of the leadership team, setting up technical roadmap, introducing the latest machine learning and system technology to the team, working with development managers and teams to identify and resolve technical challenges, and working with different products and data science teams to streamline the feature request and model onboarding.

Essential Functions

• Provide leadership and direction to the team with the latest data science and applied artificial intelligence techniques.

• Lead and strengthen a team of engineers to design and build ML infrastructure and AI products, services.

• Collaborate with project teams, data science teams and other development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions.

• Drive technical standard and best practices in ML and data engineering, and continuously improve AIaS engineering scalability.

• Coordinate the implementation among development teams to ensure system performance, security, scalability and availability.

• Coaching and mentoring junior team members and evolving team talent pipeline.

This position will be based in Foster City, CA or Austin, TX. If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

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

Qualifications

Basic Qualifications:

• 12 or more years of work experience with a Bachelor’s Degree or at least 10 years of work experience with an Advanced degree (e.g. Masters/MBA /JD/MD), or a minimum of 5 years of work experience with a PhD.

Preferred Qualifications:

• 15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience
• Master’s, PhD in Computer Science or related technical discipline
• 15+ years of experience with leading and architecting large-scale distributed infrastructure systems.
• Experience working with Data and AI, designing, and building ML infrastructure to train or serve models.
• Experience with building out AI Products end to end from model building to revenue generation phase/ products and services. 
• Strong sense of ownership, urgency, and leadership abilities in an engineering environment in driving operational excellence and standard methodologies.
• Experience working on large open-source projects, preferably in the ML infrastructure domain like TensorFlow, Ray, JAX, PyTorch, Horovod.
• Solid understanding of networking, Linux, Docker, databases, Hadoop, Hive, Spark, etc.
• Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental