Job
Description
We are seeking a hands-on Director of Data Engineering, Data Science, and GenAI/ML. This role is crucial to the development and management of our Loyalty and Marketing platforms while leveraging advanced AI/ML technologies. You will be part of the Value Added Services - Digital Marketing & Engagement organization and will provide technical leadership and oversight to software architects and engineers, while partnering with your product partners on large and complex projects for Customer Engagement, Loyalty, and Marketing domains. Responsibilities 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 (quality, security, performance, scalability, availability, resilience). Collaboration & Strategy 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. Development & Innovation 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. 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 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. Additional Skills 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.
