Senior Manager Data Science at Visa

Job Description

• As a Senior Manager Data Science in the SSA Data Science team, this role serves as a strategic bridge between advanced analytics and business impact. The individual will lead the design and delivery of data driven solutions across cards and payments, influence client decision making, and grow high performing data science talent while advancing Visa analytics capabilities in the region.

Principal Responsibilities:
Data Driven Innovation and Client Impact:

• Identify and incubate data and analytics innovation opportunities that enable fact based decisioning across issuer and payments programs.
• Design predictive and prescriptive models using large scale transaction data to address client growth, risk, and portfolio performance challenges.
• Develop context driven prototypes, storyboards, and narratives that translate analytics into clear executive level insights.
• Socialize and scale analytics ideas with proven market demand and repeatability across SSA.

Advanced Analytics and Product Development:

• Lead analytics engagements with a strong focus on cards and payments transaction data modeling.
• Develop next generation analytical methods where existing tools and approaches are insufficient.
• Introduce and champion cutting edge data science techniques and tooling.
• Partner with regional and global Data Science teams to build high quality reusable analytic products.

Cross Functional and Client Collaboration:

• Work closely with Business Managers, Consultants, Data Scientists, and client stakeholders to co create, deploy, and operationalize analytics solutions.
• Collaborate with Technology and Data Engineering partners to leverage Visa platforms, data assets, and ecosystem capabilities.
• Support business development efforts including solution shaping and client discussions.

People Leadership and Talent Development:

• Review, guide, and inspire the analytical work of junior team members.
• Manage workload prioritization for self and direct reports to improve delivery efficiency.
• Coach, develop, and grow talent within the team.
• Build and share global best practices and contribute to analytics knowledge management.

Governance Risk and Standards:

• Champion Model Risk Management, Visa Analytics Rules, and Global Privacy standards
• Ensure analytics solutions are compliant, explainable, and aligned with Visa trust and risk principles.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

• Minimum of 10+ years of expertise in applying Machine Learning solutions to business problems. Model development and production experience required.
• Post graduate degree 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 and 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.
• 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 and project management skills and experience.