Sr. Director, Data Science

Visa•Atlanta, GA

3h•Hybrid

About The Position

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 Sr. Director, Data Science who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.

Requirements

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

Nice To Haves

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
4+ years of experience applying data science to solve problems for issuers, acquirers, processors, or merchants
3+ years of experience leading 3+ data scientists in machine learning projects
Recent experience working with and presenting to clients, such as issuers, acquirers, processors, or merchants
Recent experience coordinating offshore relationships and Data Engineering activities
Expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark
Expertise with one or more data analytics/programming tools such as R/Python
Expertise in the application of predictive modeling and machine learning techniques
5+ years of working in payments industry (bank, credit union, Fintech) or management-consulting firm
Demonstrated knowledge of software development, MLOps or data product development
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.
Excellent communication, storytelling, and presentation skills

Responsibilities

Lead data science team supporting issuers or merchants, including project oversight, coaching and professional development
Manage offshore relationships, including vendor management, performance tracking and onboarding/offboarding activities
Manage Data Engineering relationships, including creating and maintaining roadmaps and prioritizations
Manage 5 to 10 projects in parallel, from conception to completion utilizing a team of 5 to 7 experienced professionals
Experience building and managing teams of data scientists
Strong analytical skills, with demonstrated intellectual and analytical rigor and ability to work with large data sets to synthesize key impacts for clients.
Develop propensity, segmentation, and other predictive models to drive business impact
Proactively engage with clients and Visa client leadership in regular strategic & planning discussions, cultivate and manage a pipeline of work with clients
Develop frameworks, approaches, solutions, and recommendations that effectively and efficiently address the most impactful opportunities and challenges.
Partner with peers in other functional areas (e.g., marketing, analytics, risk, innovation) and across global regional teams to execute projects in ways that leverage the breadth and depth of Visa’s resources
Executive Presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations.
Demonstrated leadership, managerial and collaboration capabilities, particularly with those who are not direct reports as may be found in a matrixed organization.