Sr. Manager, Data Science

Visa; Foster City (CA); On-site; USD 192,100 - 307,800; Full time

Job summary

Visa's Global Data and AI team is seeking a Senior Manager to join the Consumer Payments Strategic Analytics group as a hands-on contributor delivering scalable analytics, AI-driven insights, and data science solutions that inform product strategy and performance for internal Visa teams.

The Senior Manager will act as an internal data consultant to Product, Marketing, Finance, Technology, and other cross-functional partners, translating business questions into analytical approaches, extracting

Qualifications

• 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years with an Advanced Degree or 2 years with a PhD, OR 11+ years total experience.
• Strong programming skills in Python and SQL with hands-on experience in large-scale data environments.
• Experience with AI/ML including generative AI and LLMs.
• Ability to translate data-driven insights into business impact and executive storytelling.

Responsibilities

• Lead data science and strategic analytics projects aligned with Consumer Payments priorities.
• Develop predictive, descriptive, and diagnostic analytics using scalable tools.
• Build dashboards and self-service analytics for data democratization.
• Collaborate with cross-functional teams to embed data and AI into decision-making.

Skills

Python

SQL

Spark

Tableau

Power BI

AI/ML

Executive communication

Stakeholder management

Education

Bachelor's Degree

Advanced degree

Tools

Spark

Hive

Hadoop

Cloud platforms (AWS/Azure)

Job description

Job Description

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.

Key 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.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

U.S. Applicants Only

Qualifications

Basic Qualifications

• 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.

Preferred Qualifications

• 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.
• 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.
• 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.
• Highly organized, results‑oriented, and comfortable working in a fast‑paced environment with multiple priorities and internal stakeholders.

The estimated salary range for this position is $192,100.00 to $307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.