Director, Data Engineering

As a Director of Data Engineering, Data Science, and GenAI/ML at Visa Inc., you will play a crucial role in the development and management of Loyalty and Marketing platforms by leveraging advanced AI/ML technologies. Your responsibilities will include: - **Leadership & Management:** - Hire, retain, and develop high-performing, diverse engineering and data science teams. - Invest in the career development of employees with a strong focus on mentorship and training. - Lead with a client-focused mindset across organizations. - Mentor and motivate high-performing teams of engineers, data scientists, and architects to achieve critical business goals and KPIs. - **Technical Leadership:** - Provide technical leadership and oversight to software architects, 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 in terms of quality, security, performance, scalability, availability, and resilience. - **Collaboration & Strategy:** - Collaborate with various teams to develop complete solutions. - Drive the coordination, organization, and execution of qualitative and quantitative decisions. - Guide the delivery of strategic projects aligned with business strategy on innovative payment acceptance and integrated commerce management. - Collaborate closely with global product teams in marketing and loyalty to define strategy and communicate a clear vision for the team. - **Development & Innovation:** - Deliver products with complex technical interdependencies by collaborating with geographically dispersed teams. - Develop architectures that are secure, robust, scalable, modular, API-centric, and global. - Optimize the use of Visas Platforms & Solutions. - Foster innovation and explore new technologies such as Gen AI/ML to make a positive impact on Visas Loyalty and Marketing team. - **Engineering & Data Science Excellence:** - Drive down technical debt and manage costs within product and organization budgets. - Establish best practices in client application development and data science using engineering excellence. - Apply architecture and data science best practices to increase execution velocity. Additional Skills: - Strong experience in continuous delivery and DevOps. - Proven knowledge of successful design, architecture, and development of complex systems. - Advanced understanding of AI/ML model development and deployment. - Ability to solve complex software development/design issues. - Demonstrated ability to deliver on multiple projects and manage priorities based on changing directions. **Qualifications:** **Basic Qualifications:** - 10 years of relevant work experience and a Bachelors degree, OR 13 years of relevant work experience. **Preferred Qualifications:** - 12 or more years of work experience with a Bachelors Degree or 8-10 years of experience with an Advanced Degree. - Proven experience managing software development and data science teams for enterprise-level, distributed applications using technologies such as Java, Microservices, Hadoop, Spark, and AI/ML frameworks. - Deep technical experience in Java/J2EE, Microservices, Big Data Hadoop ecosystems, AI/ML frameworks, and open systems. - Technical experience with Big Data Technologies, focusing on Spark with Java or Scala. - Expertise with AI/ML frameworks (TensorFlow, PyTorch, etc.), Java/J2EE, Spring, Spring Boot, caching, streaming pipelines. - Experience in deploying and managing software and AI/ML models in public Cloud technologies. - Familiarity with Agile methodologies and software development lifecycle principles. - Experience in API Development using SOAP or REST, JSON, and XML. - Experience with GIT/Stash, Maven, and Jenkins. - Strong interpersonal, facilitation, and effective communication skills. - Proven ability to lead and navigate through ambiguity. - Payment industry experience is a plus. - Hands-on experience writing clean, coherent code and developing AI/ML models following established guidelines. Please note that this is a hybrid position. The expectation of days in the office will be confirmed by your hiring manager. As a Director of Data Engineering, Data Science, and GenAI/ML at Visa Inc., you will play a crucial role in the development and management of Loyalty and Marketing platforms by leveraging advanced AI/ML technologies. Your responsibilities will include: - **Leadership & Management:** - Hire, retain, and develop high-performing, diverse engineering and data science teams. - Invest in the career development of employees with a strong focus on mentorship and training. - Lead with a client-focused mindset across organizations. - Mentor and motivate high-performing teams of engineers, data scientists, and architects to achieve cri