Sr. Manager, Data Science

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 Global 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 Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.   Essential Functions Lead a team of analysts within North American Data Science, including project oversight, coaching and professional development Work with internal/external clients to understand their strategic business questions and lead project scoping/design to answer those questions by leveraging Visa’s data 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. Produce insights and analyses to improve client performance, drive understanding of client issues and provide strategic guidance for client priorities across the payment P&L Ideal candidate will have payments and management consulting experience. Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governance Provide guidance in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques Organize and manage multiple data science projects with diverse cross-functional stakeholders Ability to influence and negotiate with senior executives This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.