Director, Software Engineering (ML/AI)

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

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Payments Industry is a very exciting and fast-developing area with lot of new and innovative solutions coming to market. With strong demand for new solutions in this space, it promises to be an exciting area of innovation. VISA is a strong leader in the payment industry and is rapidly transitioning into a technology company with significant investments in this area.

If you want to be in the exciting payment space, learn fast and make big impacts, Ecosystem & Operational Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you!

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 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 within the payments or payments risk domain or similar industries.

This position is ideal for an experienced engineering leader who is passionate about collaborating with business and technology partners and engineers to solve challenging business problems. You will be a key driver in the effort to define the shared strategic vision for the Payment Fraud Disruption platform and defining tools and services that safeguard Visa’s payment systems. 

Essential Functions

• Drive the design, implementation and deployment of AI/ML centric, secure, reliable, robust and interoperable products.
• Drive excellence in engineering practices across the SSDLC.
• Drive adoption of Gen AI across the portfolio, for client innovation, business productivity and developer productivity.
• Partner with Product teams on requirements and prioritization. Influence product strategy and roadmap.
• Lead a multi-disciplinary team of software developers, data engineers, AI & ML experts, test engineers, release engineers.
• Develop and nurture the engineering team by hiring critical talent, driving retention, motivating and mentoring staff, and driving career growth for team members. Build an inclusive team culture, and a culture of ownership and accountability.
• Drive strategic impact for EOR by delivering fit-for-purpose products with an accelerated time to market.
• Ensure strong program management and governance practices for your team.
• Forge strong partnerships with key stakeholders across Technology & Business.
• Role model Visa Leadership Principles (VLPs).

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Visa is not offering relocation assistance for this role.

Basic Qualifications:

• 10+ years of relevant work experience and a Bachelor’s 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
• 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 delivery across multiple technologies: Python, Java/J2EE, Apache Kafka, Apache Flink, Hive, MySQL, Hadoop, Spark, Scala, design patterns, test automation frameworks
• Experience leading delivery of streaming analytics platforms
• 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 on requirements workshops, 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

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 176,400.00 to 256,000.00 USD, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Visa is not offering relocation assistance for this role.