What are the responsibilities and job description for the Director, Data Science position at Visa?
To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The North America Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for a Director, Data Science who will support clients across banks, merchants & retailers, digital products, marketing, helping them unlock insights and drive innovation through advanced analytics and strategic data applications.
Essential Functions:
- Provide technical and strategic direction on data science initiatives, including R&D, data governance, system infrastructure, and analytics tool evaluation.
- Act as a mentor and advisor to analysts and data scientists across teams, fostering a culture of excellence and continuous learning.
- Champion best practices in data analysis, modeling, and reporting to ensure rigor, quality, and business relevance.
- Guide team in development of actionable solutions and creation of deliverables that effectively communicate the findings and recommendations
- Leverage big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s unique data set
- Lead development of assets supporting scalable analytic approaches capable of being leveraged by data scientists globally.
- Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to revenue potential.
- Evangelize new analytic approaches for processing big data through internal training, documentation and by leading technical sharing sessions.
- Research industry metrics and business context and bring this context to bear in analyses
- Apply Python and SQL for data manipulation, analysis, and automation of workflows.
- Develop and deploy machine learning models to solve business problems and enhance predictive capabilities.
- Build and experiment with machine learning and Generative AI models by applying a variety of statistical and computational techniques.
- Apply AI-enabled tools to streamline everyday work, including data exploration and model development.
- Build and automate repeatable analyses and self-service tools to empower business users and reduce manual effort.
- Drive sales activities with key clients, collaborating closely with business development teams to identify opportunities, position Visa’s solutions, and support revenue growth.
- Maintain and strengthen relationships with key clients to support both ongoing delivery and long-term business development objectives.
- Lead advanced internal development initiatives by designing and implementing innovative analytics solutions, frameworks, and tools that push the boundaries of Visa’s data science capabilities.
- Act as a strategic partner to sales and account management teams, providing data-driven insights that influence client engagement, and solution design.
- Champion internal thought leadership by initiating and driving proof-of-concept projects that showcase the business impact of emerging technologies such as Generative AI and advanced ML techniques.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.