Sr. Manager, Data Science

Visa•Foster City, CA

6d•$192,100 - $307,800•Hybrid

About The Position

Visa’s Global Data and AI team is seeking a Senior Manager to join the Consumer Payments Strategic Analytics team as a hands-on individual contributor supporting the Global Consumer Payments business. This role will deliver scalable analytics, AI-driven insights, and data science solutions that inform product strategy, enhance performance, and support innovation for internal Visa business teams. The Senior Manager will act as an internal data consultant to Consumer Payments business partners, working closely with Product, Marketing, Finance, Technology, and other cross-functional teams. The role will focus on translating business questions into analytical approaches, extracting insights from large-scale Visa data, building repeatable tools and models, and communicating clear recommendations that help internal teams make data-driven decisions.

Requirements

8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
Excellent programming skills in Python and SQL, with hands-on experience using large-scale data environments such as Spark, Hive, Hadoop, or similar platforms.
Strong practical experience with AI/ML, including generative AI, LLMs, and AI-assisted development tools such as Claude Code, GitHub Copilot, OpenAI Codex, or similar platforms.
Experience with agentic AI concepts and frameworks such as LangGraph, LangChain, or comparable orchestration tools.
Ability to build predictive and descriptive models, perform data mining and statistical modeling, and apply appropriate analytical methodologies to solve business problems.
Experience developing visual insights, dashboards, and reporting solutions using tools such as Tableau, Power BI, or similar business intelligence platforms.
Strong ability to translate data-driven analysis into business impact, including excellent storytelling, presentation, and executive communication skills.
Proven track record of delivering analytics projects from scoping through execution, quality control, stakeholder communication, and implementation support.
Strong stakeholder management skills and demonstrated ability to work effectively with internal business teams in cross-functional and global environments.
Highly organized, results-oriented, and comfortable working in a fast-paced environment with multiple priorities and internal stakeholders.

Nice To Haves

9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
6+ years of analytics, data science, or related experience with a Bachelor’s degree; 4+ years with a Master’s/MBA; or 3+ years with a PhD.
Deep understanding of Visa’s business, consumer payments, issuer and merchant analytics, and the broader payments ecosystem.
Experience with cloud-based data platforms, MLOps practices, model deployment, and reusable analytical frameworks.
Prior experience in financial services, payments, fintech, consulting, or internal business analytics is a plus.

Responsibilities

Lead, execute, and deliver data science and strategic analytics projects that support Visa’s internal Consumer Payments business priorities and align with Visa’s long-term growth agenda.
Partner with internal business teams to understand strategic questions, define project scope, select appropriate methodologies, and deliver actionable analytical solutions.
Analyze large and complex datasets using Python, SQL, Spark, Hive, R, or similar tools to generate insights, build models, and identify business opportunities.
Develop predictive, descriptive, and diagnostic analytics solutions, including segmentation, propensity modeling, performance measurement, forecasting, and portfolio analysis.
Build scalable dashboards, reporting tools, and self-service analytics capabilities that support data democratization, single-source-of-truth principles, and a clear front door for internal business users.
Apply AI, machine learning, generative AI, and agentic AI techniques to improve analytics delivery, automate repeatable workflows, and unlock new business insights.
Design, prototype, and deploy analytical models and data products in collaboration with data engineering, technology, and platform teams.
Maintain strong quality control, documentation, code standards, and reproducibility across analytical deliverables.
Translate complex data analysis into executive-ready insights, clear narratives, and practical recommendations for internal stakeholders.
Identify market, product, customer, and portfolio trends through deep analysis of payments industry data and internal business performance.
Collaborate across Product, Marketing, Finance, Technology, and other relevant functions to embed data and AI into decision-making.
Contribute to thought leadership by identifying new analytical methods, reusable frameworks, and innovative approaches that strengthen Consumer Payments Data and Analytics capabilities.