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'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 tackle 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 Senior Director to join our team of passionate and dedicated engineers and data scientists. We partner with for Data Engineering and Machine Learning developments at Visa and we embrace solving complex challenges on a global scale! As a Visa Senior Director, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base. Come join us and see your efforts shape the digital future of payments. You will have an opportunity to changing the way data products are developed at Visa! Essential Functions Hire and lead a team of exceptional ML and applied science engineers to build world class products in fintech space. Use Generative AI to improve business workflows around core mission critical logic related to dispute management and merchant representment. Build metrics and evaluations as we migrate business logic to LLMs. Build high fidelity models for risk assessment in fintech space Build engg systems to run the models at scale in production workflows. Ensures alignment to data management principles, governance, process, and tools to maintain quality across all projects. Supervises testing code in a common testing environment to assess compatibility. Leads regular calls with production support teams to address issues with code. Shapes the direction for the development of tools and automation processes that assist in transforming, optimizing, managing, accessing, deploying, and monitoring data processes in batches and in real time. Monitors and supervises efforts to automate advanced data protocols, reduction techniques, and aggregation approaches to validate the quality of extracted data across the data pipeline. Leads efforts to drive efficiencies across data extraction and ensures data quality and completeness using data wrangling, complex data modeling, and artificial intelligence. 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 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