Director, Consumer Payments Strategic Analytics

Visa's Global Data and AI team is seeking a Director, Consumer Payments Strategic Analytics to lead the analytics agenda supporting Visa's Global Consumer Payments business.

This is a senior individual contributor role with no formal direct reports, suited to a technically accomplished, business-minded analytics leader who sets direction through expertise and influence while remaining deeply engaged in hands-on execution.

The Director will own the strategic analytics roadmap for Consumer Payments, shaping priorities and selecting analytical methods and AI capabilities in partnership with business and analytics leaders.

Key Responsibilities

Analytics Strategy and Business Impact

• 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.

Project Leadership and Mentorship

• 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.
• 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.

Advanced Analytics and AI Solutions

• Personally design and deliver predictive, descriptive, diagnostic, and prescriptive solutions, including segmentation, propensity modeling, forecasting, performance measurement, experimentation, and portfolio analysis.
• 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.

Executive communication and influence

• 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.

Qualifications

Basic Qualifications

• 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.

Preferred Qualifications

• 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.
• 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.
• Strong practical experience with AI/ML, including generative AI, LLMs, and AI-assisted development tools.

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).

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.