Director, Data Engineering

• 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.

• 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 (quality, security, performance, scalability, availability, resilience).

• Collaborate with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development 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 the global product teams in marketing and loyalty to define strategy and communicate a clear vision for the team.

• Deliver products with complex technical interdependencies by collaborating with geographically dispersed teams.
• Develop architectures that are inherently secure, robust, scalable, modular, API-centric, and global.
• Optimize the use of Visa s Platforms & Solutions.
• Make a positive impact on Visas Loyalty and Marketing team, fostering innovation and exploring new technologies such as Gen AI/ML.

• 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 that help increase execution velocity.
• Handle routine activities such as coordination, coaching, mentoring, recruiting, budgeting, planning, delivery, quality, partner relationships, performance metrics, operations, efficiency, and service level management.

• Strong experience in continuous delivery and DevOps, including infrastructure automation, monitoring, logging, and security implementation.
• 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.

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 Bachelor s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
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.