Director - Data Engineering

Job Description

In Ecosystem & Operational Risk (EOR) technology group, the Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate fraud for Visa and Visa client payment systems. We are in search of inquisitive, creative, and skillful technologists to join our ranks. We are currently looking for a Director of Software Engineering who will take the lead and manage several strategic initiatives within our organization. The right candidate will possess a strong software engineering background, with demonstrated leadership experience in driving technical architecture, design and delivery of products and services that have created business value and delivered impact. Essential Functions Responsible for building enterprise scale applications leveraging Data Engineering, AI/ML and GenAI technologies. Oversee the end-to-end product lifecycle, from ideation, research, design, development, testing, launch to post-launch evaluation. Foster an environment of innovation, encouraging the team to bring forward new ideas and solutions Act as a key liaison between the product team, executive leadership, and other stakeholders, ensuring transparency and alignment. Responsible for the overall development life cycle of the solution and manage complex products with significant bottom-line impact Work with geographically distributed global teams Work with product managers in developing a strategy and road map to provide compelling capabilities that helps them succeed in their business goals Work closely with senior engineers to develop the best technical design and approach for new product development Instill best practices for software development and documentation, assure designs meet requirements, and deliver high quality work on tight schedules Project management: prioritization, planning of projects and features, stakeholder management and tracking of external commitments Identify opportunities for further enhancements and refinements to standards and processes Hire, retain and grow world class engineering talent Mentor junior team members, develop departmental procedures and best practices standards Strong Negotiation Skills: You will be a distinguished ambassador for product development: collaborating, negotiating, managing tradeoffs, and evaluating opportunistic new ideas with business partners This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications: 15 or more years of work experience with a Bachelor s Degree or with an Advanced Degree Requires 15 or more years of experience, at least 3+ years in leading engineering teams Experience leading design and development of data pipelines and analytics platforms Experience leading product development & delivery of AI/ML solutions, applied to real-world problems Experience leading design and development of mission-critical, secure, reliable systems Experience leading or knowledge of GenAI product development with deep expertise in LLM integration and prompt engineering Experience leading delivery across multiple technologies: Python, Java/J2EE, Apache Kafka, Apache Flink, Hive, MySQL, Hadoop, Spark, Scala, design patterns, test automation frameworks Excellent understanding of algorithms and data structures Excellent problem solving and analytics skills. Capable of forming and advocating an independent viewpoint Strong experience with agile methodologies Excel in partnering with Product leaders and technical product managers, helping define joint product/technology roadmaps & driving prioritization Experience driving continuous improvements to processes / tools for better developer efficiency and productivity Demonstrated ability to drive measurable improvements across engineering, delivery and performance metrics Demonstrated success in leading high performing, multi-disciplinary and geographically distributed engineering teams. Demonstrated ability to hire, develop and retain high-caliber talent Must demonstrate longer-term strategic thinking and staying abreast with latest technologies to assess what s possible technically Strong collaboration and effective communication, with focus on win-win outcomes