Senior Director - AI Solution 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 is the leader in the payment industry and has been for a long time, but we are also quickly transitioning into a technology company that is fostering an environment for applying the newest technology to tackle exciting problems in this area. For a payment system to work well, the risk techniques, performance, and scalability are crucial. These techniques and systems benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies. At VISA, we have all of these. If you want to be on the cutting edge of the payment space, learn fast, and make a huge impact, then the Artificial Intelligence Platform team may be an ideal place for you!

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.

This position will be based in Foster City, CA. 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.

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 is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

• 12+ years of relevant work experience and a Bachelors degree, OR 15+ years of relevant work experience

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
• 10 years of experience in a technical leadership role, supervising strategic projects, with 5 years of experience in a people management, supervision/team leadership ro