Director (Engineering, Finance Technology Team, 15-20 years of experience, Java, Python, Angular, Open source, ETL, Gen AI)

At Visa the Finance Technology organization empowers revenue operations pricing strategy and controllership teams by delivering innovative nextgeneration software solutions. We explore emerging technologies leverage AI run proofs of concept and design scalable systems that streamline complex financial processes. From handson development and integration to quality assurance and production support we own the full engineering lifecycle. Partnering closely with Finance and Operations leaders we deliver highimpact custom applications and implement industryleading software that keeps Visas revenue ecosystem running with precision and scale. If youre energized by tackling largescale enterprise challenges and driving innovation in a highimpact domain this is the place to make a meaningful mark.

The Engineering Director will lead a highperforming software engineering team responsible for building modernizing and supporting Visas revenuerelated enterprise applications. This leader will define technical direction champion the adoption of AIdriven engineering practices own architectural strategy elevate engineering standards and guide the delivery of secure scalable and resilient systems that underpin critical financial and operational processes across the company.

In this role you will bring deep technical and functional expertise with a strong focus on leveraging AI both to accelerate development and to design intelligent solutions for complex business needs. You will motivate the team to experiment innovate and apply AI across the engineering lifecycle. You should thrive in a fastpaced environment enjoy working across diverse technologies and be energized by driving automation efficiency and enterprisewide impact.

Key Responsibilities:

• Define and own the technical and architectural strategy for Visas revenuerelated enterprise applications ensuring scalability performance security and resiliency.
• Drive proofs of concepts and evaluate emerging/opensource technologies making informed recommendations and platform decisions that align with enterprise architecture standards.
• Provide deep technical leadership in application design including reviewing and guiding functional designs system architectures API patterns and integration strategies.
• Guide teams in designing robust data models and repositories for both transactional and analytical workloads and review datarelated designs for quality and scalability.
• Ensure delivery of highquality productionready software through strong engineering best practices CI/CD pipelines test automation observability and operational excellence.
• Champion the use of AI across the engineering lifecycle including AIassisted coding automated testing code generation and productivityenhancing development workflows.
• Lead the endtoend design and delivery of Generative AI and MLbased applications from concept and prototyping through production deployment and ongoing optimization.
• Develop mentor and grow engineering talent elevating skillsets in AI cloud architecture and modern engineering practices while providing consistent performance management.
• Foster a culture of innovation experimentation and continuous improvement encouraging teams to explore new technologies and evolve engineering standards.
• Lead crossfunctional planning and execution partnering with Finance Pricing Revenue Operations Controllership and Enterprise Technology teams to deliver complex multiteam initiatives.
• Manage business stakeholder expectations ensuring clear communication of priorities technical decisions delivery timelines and tradeoffs.
• Identify and mitigate technical risks and dependencies ensuring the reliability availability and compliance of missioncritical financial applications.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Qualifications :

Basic Qualifications:
10 years of relevant work experience with a Bachelors Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 4 years of work experience with a PhD OR 13 years of relevant work experience.

Preferred Qualifications:

• B.S. degree with 12 years or M.S. degree with 10 years of experience designing developing and managing complex enterpriseclass missioncritical global application systems.
• 5 years leading software engineering teams driving technical delivery and managing diverse technology stacks.
• Demonstrated leadership in mentoring architects engineers/developers business process designers and testing teams; fostering strong technical capability and professional growth.
• Handson experience creating software architecture solution designs and technical designs for largescale systems.
• Strong engineering background with experience building and maintaining enterprise applications using opensource technologies (e.g. Java Python ETL frameworks Angular Spring Boot).
• Experience with relational databases such as Oracle and PostgreSQL and NoSQL stores like MongoDB; proven ability to design data models and repositories for transactional and analytical workloads.
• Experience and passion for designing and building AI/ML solutions and intelligent agents using technologies such as Python LangChain AutoGen NLP frameworks vector databases and orchestration tools.
• Practical experience developing generativeAI and LLMbased applications using platforms such as OpenAI/Azure OpenAI including prompt engineering and model integration.
• Demonstrated ability to establish and enforce modern engineering best practices drive automation throughout the SDLC and cultivate a culture of highquality scalable software delivery.
• Proven expertise guiding teams to leverage AI toolssuch as GitHub Copilot Azure AIassisted development and automated QA frameworksto significantly improve engineering and QA productivity.
• Domain knowledge in financial systemspricing rating billing accounts receivable revenue recognition/reportingis a strong plus.
• Strong track record of delivering results through crossfunctional leadership influence and collaboration.
• Excellent communication skills with the ability to articulate complex concepts to both technical and nontechnical stakeholders.
• Highly selfmotivated with strong organizational analytical and problemsolving skills.

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time