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Job DescriptionSr. Manager, Data Engineering, MLOps
Team Summary:
The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. Machine learning and AI models are the heart of the real-time insights used by our clients to manage risk. Created by the Visa Predictive Models (VPM) team, continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data, creating efficient, automated processes and standardizing ML/AI tools.
Leadership & Management:
Hire, retain, and grow high-performing, diverse engineering and data science teams.Lead with a client-focused mindset across organizations.Mentor and motivate high-performing teams of engineers, and tech leads to achieve critical business goals and KPIs.Technical Leadership:
Provide technical leadership/oversight to data engineers, and data scientists.Drive the architecture for key cross-team/cross-product development projects.Establish software development and data science best practices via examples and shipping code.Ensure engineering and data science excellence (quality, security, performance, scalability, availability, resilience).
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.
QualificationsBasic Qualifications:
Degree (e.g. Masters, MBA, JD, MD) in Engineering or similar field of study Strong technical knowledge and expertise in software engineering and data engineering to guide and support the team.Experience building and supporting scalable, reliable data solutions and AI/machine learning powered systems using modern big data and ML/AI technologies.
Preferred Qualifications:
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.