Company Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

　　When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

　　Join Visa: A Network Working for Everyone.

　　Job Description The Director of Data Products & Analytics will be a key member of Visa's Global Authentication & Identity team. This team is responsible for Visa’s Authentication and Identity Products and Strategy globally. The Director will be instrumental in defining the overall data, product and modeling strategy and roadmap for our solutions, including Next Gen Fraud Signals (NGFS) and Intelligent Data Exchange (IDX).

　　In addition to strategic responsibilities, the Director will also be accountable for deriving insights from our data. They will guide new solutions and features through the governance and sourcing processes, inform the overall product strategy, and utilize their industry, market, and product expertise to proactively educate the organization on our product roadmap.

　　The Director will also assist with the execution of strategies defined with the regions to drive the launch and scale of Visa’s Authentication and Identity Products around the world. The position reports into the Head of Data Products & Analytics for Authentication and Identity Products.

　　The ideal candidate will have a proven track record in data-driven decision making, excellent leadership skills, and the ability to manage multiple stakeholders and priorities effectively.

　　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 2-3 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.

　　Local Law 144 Notice for New York City Resident Applicants: For some requisitions, automated employment decision tools ('AEDTs') may be used as part of the assessment process to assist our recruiters in the initial evaluation of your application. If your application is submitted pursuant to New York City Local Law 144, you may request an alternative assessment from the recruiter. Please visit the Visa Global Privacy Notice to learn how we may collect, process, or retain your professional and employment information for recruiting purposes.

　　Qualifications Basic Qualifications:

　　• 10 or more years of relevant work experience with a bachelor’s degree or at least 8 years of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD) or 3 years of work experience with a PhD degree

　　Preferred Qualifications:

　　• 12 or more years of work experience with a bachelor’s degree or 8-10 or more years of relevant experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or up to 6+ years of relevant experience with a PhD

　　• Proven experience in leading and managing a data analytics team.

　　• Strong understanding of machine learning models, data mining, and statistical analysis tools.

　　• Experience with data visualization tools and databases.

　　• Proficient in programming languages such as Python, R, SQL or Java.

　　• Excellent leadership and team management skills.

　　• Strong problem-solving skills and the ability to make data-driven business decisions.

　　• Excellent communication skills to effectively collaborate with other teams and stakeholders.

　　• Experience in product management and understanding of the product lifecycle.

　　• Demonstrated ability to translate complex data into understandable insights to influence business decisions.

　　• Knowledge of data governance and data privacy regulations.

　　• Proven track record in driving the strategic direction of data analytics and product development.

　　Additional Information 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 163,800.00 to 213,000.00 USD per year, 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.