Senior Director Machine Learning- Data Solutions and Products

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

About the Role:

The Data and Artificial Intelligence Platform (DAP) group is a key component of Visa's Technology organization that provides the enabling technology and processes to handle Visa's data assets and deliver valuable information, products, and services to customers. DAP delivers secure, high-quality and easy-to-use Visa core data assets as a service, together with reliable and scalable data platform as a service, to enable Visa and our partners to rapidly and efficiently innovate data-driven business products and services to lead the digital payment industry. Areas of focus include Business Intelligence and Analytics, Artificial Intelligence, Machine Learning, Data as a Service, and Platform as a Service etc. The portfolio comprises of over 60 data products & platforms for various external clients and internal lines of business. We provide services on behalf of traditional bank customers to millions of cardholders and merchants globally. Our application development is on the cutting edge of technology, and we are viewed as innovative leaders within our industry.

Under DAP, Data Solutions and Products team is looking for a senior leader to lead AI/ML teams building machine learning solutions solving merchant challenges with huge amount of transaction data. We are utilizing ML with payment domain knowledge to explore the insights of data. 

Essential Functions:

· Provide leadership and direction to the team with latest data science and applied artificial intelligence techniques. Lead and grow a team of engineers to design and build Data Solutions and Products leveraging AI/ML

· 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 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 3 set days a week (determined by leadership/site), with a general guidepost of being in the office 60% or more of the time based on business needs.

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.
• 8 to 10 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.
• 5 years of experience working in a complex, matrixed organization.
•  Experience working on large open-source projects, preferably in the ML infrastructure domain like TensorFlow, Ray, JAX, PyTorch, Horovod.
• Good working knowledge 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.
• A background in the payment domain is a plus.

Additional Information

Work Hours: Varies upon the needs of the department.

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

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard offic