Director, Consumer Payments Strategic Analytics

• Own the multi-year strategic analytics agenda for Global Consumer Payments in partnership with business and analytics leaders, aligned to Visa's growth priorities and the Consumer Payments business strategy.
• Translate executive-level business questions into an analytical portfolio with clear scope, methods, delivery plans, and expected impact; coordinate resource needs with relevant partners.
• Serve as a trusted advisor to senior Product, Marketing, Finance, and Technology leaders, shaping strategy rather than only supporting it after decisions are made.
• Identify market, product, customer, issuer, merchant, and portfolio opportunities through deep analysis of Visa data and the broader payments ecosystem.
• Quantify the value of analytics and AI investments, and communicate impact in terms senior leaders care about: growth, performance, risk, efficiency, and speed to decision.

• Coach and mentor junior and early-career data scientists and strategic analysts, providing practical guidance, constructive feedback, and technical reviews that build judgment and independence from problem framing through execution and stakeholder adoption.
• Establish the analytical operating model for intake, prioritization, delivery, quality control, and insight adoption, including a clear entry point for internal business partners. Lead projects and initiatives by coordinating contributors, clarifying milestones, and resolving technical obstacles.
• Drive a single-source-of-truth culture: reusable frameworks, documented methodologies, common metrics, and scalable tools rather than one-off analysis.
• Build strong cross-functional relationships across Global Data and AI, Product, Strategy, Technology, and regional partners.
• Manage competing executive demands, global stakeholders, and multiple priorities in a fast-paced environment.

• Personally design and deliver predictive, descriptive, diagnostic, and prescriptive solutions, including segmentation, propensity modeling, forecasting, performance measurement, experimentation, and portfolio analysis, while providing technical guidance to project contributors.
• Shape AI strategy within the Consumer Payments analytics portfolio, including machine learning, generative AI, LLMs, and agentic AI, to automate repeatable workflows, improve insight quality, and unlock new business questions.
• Build and guide the development of scalable dashboards, decision tools, and self-service analytics that democratize data without sacrificing rigor.
• Partner with data engineering, platform, and technology teams to prototype, productionize, and operationalize models and data products.
• Champion responsible AI, model quality, reproducibility, documentation, and code standards across all analytical deliverables.

• Convert complex analysis into executive-ready narratives, recommendations, and decision frameworks for senior internal stakeholders.
• Represent Consumer Payments analytics in senior forums, influencing investment choices, product direction, and portfolio performance.
• Contribute thought leadership by introducing new methods, reusable assets, and innovative approaches that raise the capability of Consumer Payments Data and Analytics.

• 10 or more years of relevant work experience with a Bachelor's Degree; or 8 or more years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD); or 6 or more years of relevant experience with a PhD.

• 12 or more years of relevant work experience with a Bachelor's Degree; or 10 or more years with an Advanced Degree; or 8 or more years with a PhD.
• 8+ years in analytics, data science, strategic insights, or related work with a Bachelor's degree; 6+ years with a Master's/MBA; or 5+ years with a PhD.
• Demonstrated success coaching and mentoring junior and early-career analytics or data science colleagues, strengthening their technical judgment, problem-solving skills, and ability to deliver independently.
• Proven ability to shape an analytics agenda, lead a portfolio of high-impact projects and cross-functional initiatives, and take ownership of delivery quality and measurable business outcomes in a matrixed environment.
• Excellent programming and analytical skills in Python and SQL, with sustained hands-on experience in large-scale environments such as Spark, Hive, Hadoop, or comparable 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 orchestration frameworks such as LangGraph, LangChain, or comparable tools, and a point of view on where these capabilities create real business value versus hype.
• Ability to personally develop and validate predictive and descriptive models, conduct statistical analysis, data mining, experimentation, and decision science, and guide colleagues through sound analytical execution.
• Experience personally building visual insights, dashboards, and reporting solutions using Tableau, Power BI, or similar BI tools, and guiding colleagues in their effective development and use.
• Exceptional executive communication: storytelling, influence, and the ability to make a recommendation, defend the method, and drive a decision.

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $219,100.00 to $ 350,800.00 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.