Director, Software Engineering (AI Platform Development)

Company Description

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.

Job Description

The payments industry is evolving rapidly, with innovative solutions emerging all the time. As a leader in this space, VISA is transforming into a technology-driven company, making significant investments to stay ahead. With strong demand for new solutions, this is an exciting time to be involved in payments.

Visa’s Ecosystem & Operational Risk (EOR) technology group is looking for a Director of Software Engineering to lead strategic initiatives within the Payment Fraud Disruption team. This team plays a crucial role in developing systems and services that detect and prevent fraud, helping safeguard Visa’s payment systems. We're looking for talented individuals with a strong engineering background, leadership experience, and a passion for solving complex problems in payments or related industries.

In this role, you’ll help shape the future of fraud prevention and work closely with business and technology partners to create impactful solutions. The position offers a hybrid work model, allowing you to work both remotely and in the office 3 days a week, depending on business needs. This is a great opportunity for someone eager to make a significant impact in the fast-growing payments industry.

Essential Functions:

• Design and develop ML platforms and deploy them in a 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 data engineers , software developers, and AI & ML experts.
• 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.

Qualifications

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.
• 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).

Visa is not offering relocation assistance fo