Senior Director Internal AI Data Science

With data being the fuel that drives our future our strategies policies and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers businesses and communities is key to our future. With our ongoing commitment to Visas Data Values and the responsible use of data we at Visa have a bold vision to continue to grow and accelerate our datarelated businesses and capabilities. 

Led by Visas Chief Data Officer the Global Data Office coordinates highimpact complex companywide projects related to data business strategy critical investments policy development and marketplace execution. Working closely with Visas Chief Privacy Officer the Technology organization the wider data community and the full set of Visas global lines of business the Global Data Office is evolving Visas datarelated work with momentum and enthusiasm. Driven by its commitment to trusted use of data Visa is seeking enthusiastic leaders who are changeagents and passionate about the future of data around the world. 

The Global AI/ML Product & Platforms team under the Global Data Office is creating the next generation of scalable and responsible AI/ML and Data products and solutions to solve client and consumer problems. We are a crossfunctional team of data scientists product managers AI and data engineers program managers focused on generating value for the payments ecosystem. We are dreaming of the next generation of AI features and products.

This position is in the Internal AI and Data Science practice within the Global AI/ML Product & Platforms team. In this role you will lead a full stack data team including data scientists and BI Engineers to support the key strategic priorities of Visas internal functions through a comprehensive suite of datadriven tools products and solutions.

Essential Functions

Solve complex problems for internal clients using appropriate data AI/ML models and data science tools and techniques leading teams of data scientists and BI Engineers.

Technical Leadership:

• Develop and execute a vision for data science capabilities useful for Visa and its clients
• Lead the design and development of largescale 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 highquality deliverables
• Foster a culture of collaboration innovation and continuous learning

Data Science:

• Apply advanced data science techniques and AI/ML models to drive business impact
• Stay uptodate with industry trends and emerging technologies
• Develop and maintain expertise in multiple programming languages and data science tools

Collaboration:

• Work closely with crossfunctional teams to integrate data science capabilities
• Communicate complex technical concepts and results to stakeholders
• Influence business decisions with datadriven 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 scikitlearn)

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. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 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:

• 12 or more years of work experience with a Bachelors 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 Bachelors 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 handson 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 scikitlearn)
• Experience working with realworld data sets and building scalable models from largescale data.
• Experience working with crossfunctional 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 fastmoving 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 problemsolving 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

Additional Information :

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 510% 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 is192900 to 301350 per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated 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.

Remote Work :

No

Employment Type :

Fulltime