Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

The Opportunity: 

We are looking for a versatile, curious, and energetic Director to join our team of passionate and dedicated engineers. We are the backbone for Data Engineering and Machine Learning developments at Visa and we embrace solving complex challenges on a global scale! As a Visa Director, you will work in a rapid-paced environment leading various Data and System Engineering teams developing next generation solutions for Visa. We take a data-driven approach and are passionate about having a culture of learning fast and constantly iterating towards success. You will wear multiple hats and demonstrate breadth, depth, and leadership. The solutions you help create will have a multiplier effect across all of Visa. You will face big challenges and question the status quo, changing the way data products are developed at Visa. Come join us and see your efforts shape the digital future of payments! 

The Work Itself: 

Payments has become a very active/hot area in the last couple of years, creating a strong demand for innovation. This will be a very exciting area in the next 5 to 10 years. Not only is VISA a leader in the payment industry and has been for a long time, but it is also quickly transitioning into a technology company that is fostering an environment for applying the latest technology to solve exciting problems in this area. For a payment system to work well, the risk techniques, performance, and scalability are critical. These techniques and systems can benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies and in VISA, we have all of these. If you want to be in the exciting payment space, learn fast, and make big impacts, Artificial Intelligence Platform team within Payment Security & Identity group @ VISA is an ideal place for you!

This position is for a Director with solid development and people management experience who will focus on leading new capabilities for AI Platform while maturing our code base and development processes. We need a strong Data and Machine Learning System development and operations experience, who will contribute to both strategic and tactic planning and execution to continuously advance the AI Data Platform's vision and mission. In this position, you are first a hard-working and versatile engineering leader that can work in a multi-layered 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 other development managers and teams to lead a team to 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 Bangalore and reporting to Senior Director of Visa AI as a Service Team. 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: 

• Provides framework and expertise for presenting technical solutions, capabilities, and features to stakeholders demonstrating how solution will support business strategy. 

• Provides strategic vision for design and architecture documentation across products and sprints, leveraging existing architecture design patterns. 

• Sets the strategy for identifying system, architecture, tools, and storage needs that support the requirements for the application across products. 

• Understands people and hardware resource requirements and aligns across organizations to ensure requirements are met. 

• Improves team processes so managers and senior engineers are equipped to ensure code meets quality standards, provides the technical vision for and establishes best practices. 

• Establishes strategy to automate advanced data protocols, reduction techniques, and aggregation approaches to validate the quality of extracted data across the data pipeline. 

• Anticipates issues and ensures that practices used to merge data into distributed systems, products, or tools are aligned across the organization. 

• Oversees adherence to data management principles, governance, process, and tools to maintain quality across all projects.   

• Champions best practices in testing to confirm functional capability of code. 

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. 

Basic Qualifications:

• 12 years of relevant work experience with a bachelor’s degree -or- 10 years of relevant work experience with an Advanced degree (e.g., Masters/MBA/JD/MD) -or 4 years of relevant work experience with a PhD.

Preferred Qualifications:

• Minimum 14+ years’ relevant work experience with a Bachelor’s degree in Computer Science, computer engineering, or related field.
• Minimum 5 years of proven experience in a leadership role with reports.
• Minimum 14 years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
• 10 years of experience designing, implementing, and maintaining ETL pipelines.
• 8 years of experience building and pushing code into production.
• 8 years of experience implementing and supporting real-time systems.

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.