Sr. Manager Data Science

Job Description

Principle Responsibilities & Key Results AreaIdentify innovation opportunities around data and data-related processes that will help our clients implement fact-based decisioning processes within their cards and payments programWork entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers, Consultants and DataScientists from both Visa and client organizations to strategies, co-create, deploy, and reap the benefits of data-driven solutions.Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa’s growth in the region.Focus on creating scalable framework for ML modelsKeep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insightsDevelop next-generation analytic methods where existing tools and techniques are inadequate to address business challengesDrive commercialization of existing scalable assets (models, dashboards, solutions).Collaborate with internal Technology partners and Data Engineering function to best leverage Visa’s internal technology platforms, data, and the broader Visa ecosystem to support our clients’ technical data needsDevelop, share, and build global best practices and knowledge management within the teamSocialize innovative ideas and approaches that are scalable and have market demandChampion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa’s highly regarded market standing is maintainedWork closely with Data Engineering, DS teams and vendors - communicate the business stakeholders needs and ensure the development team delivers within established acceptance criteria, including expected quality and performance.Drive strong collaboration with VCA CEMEA Service Line Leads (Portfolio Management, Digital, Risk, Merchant & Acquiring, Commercial) – understanding the market landscape and demand, identification of potential opportunities for scalable solutions, collecting business requirements and supporting in market enablement and Go-to-Market.Work with Global Practice Leads to incorporate best practice, source analytical or other services and leverage global consulting solutions.Deliver and manage a network of external Vendor or agency partners.Maintain excellent relationship with vendor team at-large, supervising deliveries as needed.Assist in selecting, recruiting, inducting and onboarding of vendorsWork with other teams and external consultants to develop new and improved tools and techniques for future Consulting activities.Manage the project budget and resources to perform all required duties.Liaise with VISA functional teams - Finance, Audit, Legal, Tax, Sourcing- to define and implement processes to optimize the daily engagement of vendors and the relationships with clients.This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.Qualifications:Key Competencies• Minimum of 10+ years of expertise in applying Machine Learning solutions to business problems – model development and production experience required• Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering• Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments, retail banking, or retail merchant industries• Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product• Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems• Proven track record in commercializing analytical solutions.• Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels• Proven ability to deliver results within committed scope, timeline, and budget• Very strong people/project management skills and experienceYou will be redirected to the company website to apply for this position

Keyskills :
expertise in applying Machine Learning Payments and the Banking industry