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 . 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 & Data Science team under the Global Data Office is focusing on how we can better create enrich and validate our own data sets using both internal data and external data sources focusing on using AI and ML models to systematically collect and process data so that it can be used as a ground truth for many uses within Visa. 

In this role you will lead a team of data scientists contributing to develop AI driven products and services specifically focused on development of models and for collection and integration of external data sources into our own data to be used to enrich our understanding of how Visa technologies are used to pay and be paid. The goal is to build a nextgeneration repository that can keep in line with the changing ways Visa credentials can be used. 

Responsibilities include:  
Overall design development and delivery of approaches needed for collection processing and integration of external structured and unstructured data at scale into a flexible data model. 
    Data sources include information about business across industry segments across global markets and spanning social media public and commercial databases.
    Transforming the above data assets into a multitude of intelligent tags and personas using appropriate scalable modeling techniques.

Technical Leadership:
Develop and execute a vision for data science capabilities related to enriching internal data sets
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 to drive business impact
Stay up to date with industry trends and emerging technologies
Develop and maintain expertise in multiple programming languages AI/ML GenAI/LLMs 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 plan for enrichment of core data sources 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.

Qualifications :

Basic Qualifications
10 or more years of work experience with a bachelors degree or at least 8
years of work experience with an Advanced degree (e.g. Masters/MBA
/JD/MD) or a minimum of 3 years of work experience with a PhD

Preferred Qualifications
Minimum of 12 years of analytical experience in applying solutions to business
problems
Post Graduate degree in a Quantitative field
Advanced Degree/PhD with specialization in AI Computer Science Operations
Research Statistics or a highly quantitative field
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 in working with unstructured data and data collection methods
Experience working with Large Language Models
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 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 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
Previous exposure to financial services payments or eCommerce industry is a
plus but not mandatory

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 is $209100 to $334800 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