Sr. Director, AI/ML Center of Excellence

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.

Solve complex problems for our clients and Visa using appropriate data, AI/ML models and data science techniques leading data scientists part of a Center of Excellence (CoE) team. Responsible to create frameworks and assets which can be leveraged by global and regional data science teams across Visa to address business problems.

Technical Leadership:

Develop and execute a vision for data science capabilities useful for Visa and its clients

Lead the design and development of large-scale data science systems

Foster innovation and experimentation within the team

Team Management:

Lead and manage a team of data scientists

Provide guidance and mentorship to ensure high-quality deliverables

Foster a culture of collaboration, innovation, and continuous learning

Data Science:

Apply advanced data science techniques and models to drive business impact

Stay up-to-date with industry trends and emerging technologies

Develop and maintain expertise in multiple programming languages and data science tools

Collaboration:

Work closely with cross-functional teams to integrate data science capabilities

Communicate complex technical concepts and results to stakeholders

Influence business decisions with data-driven insights

Technical Expertise:

Develop and maintain expertise in multiple programming languages (e.g., Python, R, Spark)

Stay current with industry trends and advancements in data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn)

Strategy:

Develop and execute a data science strategy aligned with business goals

Identify opportunities for data science to drive business impact

Communication:

Communicate complex technical concepts and results to stakeholders

Present data science capabilities and results to senior leadership and business partners

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

Basic Qualifications:

12 or more years of work experience with a Bachelor's Degree or at least 10 years of work experience with an Advanced degree (e.g. Masters/MBA /JD/MD), or a minimum of 5 years of work experience with a PhD

Preferred Qualifications:

15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience

15+ years of hands-on experience developing advanced data science models and providing data science solutions to address industry opportunities and issues, 8+ years of experience leading data science teams

Advanced Degree/PhD with specialization in AI, Computer Science, Operations Research, Statistics or a highly quantitative field

Previous exposure to providing creative data science solutions in the financial services, payments industry or large merchants is a plus

Strengths in Deep Learning, Machine Learning, Recommendation systems, Generative models, Statistical analyses

Expertise in multiple programming languages (e.g., Python, R, Spark)

Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn)

Experience working with real-world data sets and building scalable models from large-scale data.

Experience working with cross-functional teams (e.g., product, engineering, marketing)

Fluent storyteller with superior interpersonal skills

Orientation to detail, as expected to ensure highest level of quality/rigor

Strong project management skills and the ability to meet deadlines in a fast-moving work environment

Ability to coach, lead and provide direction to a technical data science team

Possess a collaborative, diplomatic, and flexible style, with the ability to tailor communication to various audience levels

Results oriented with strong conceptual, analytical, and problem-solving skills, with demonstrated intellectual and analytical rigor

Exhibit intellectual curiosity and strive to continually learn

Experience working in global organizations and roles that need collaboration with stakeholders, partners and development team spread around the globe, gathering regional and global requirements

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel5-10% 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 192,900 to 354,500 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.