Director, Consumer Payments Strategic Analytics

Visa•Foster City, CA

8d•$219,100 - $350,800•Hybrid

About The Position

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. The Director sets direction through expertise and influence while remaining hands-on in analysis, coding, and model development. The role owns the strategic analytics roadmap for Consumer Payments, shaping priorities and selecting analytical methods and AI capabilities with business and analytics leaders. It leads complex projects and cross-functional initiatives from problem definition through implementation, develops scalable data products and self-service capabilities, and advises senior Consumer Payments leaders by translating insights into decisions that improve business performance. Success is measured by analytical excellence and business impact, including better product choices, stronger portfolio performance, faster insight cycles, and a scalable analytics operating model. Coaching and mentoring junior and early-career colleagues is a core expectation. The position requires at least three days in the office; the Hiring Manager will confirm expectations for those days. Work hours vary based on department needs, and travel is required 5–10% of the time. The role is performed in an office setting and involves sitting and standing at a desk, communicating in person and by telephone, and frequently operating standard office equipment such as telephones and computers.

Requirements

At least 10 years of relevant work experience with a Bachelor’s degree; or at least 8 years with an advanced degree (e.g., Master’s, MBA, JD, MD); or at least 6 years with a PhD.
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.
Ability to personally develop and validate predictive and descriptive models, conduct statistical analysis, data mining, experimentation, and decision science, and guide colleagues in sound analytical execution.
Exceptional executive communication, storytelling, and influence, including the ability to make and defend recommendations and drive decisions.

Nice To Haves

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.
At least 8 years in analytics, data science, strategic insights, or related work with a Bachelor’s degree; 6 or more years with a Master’s/MBA; or 5 or more years with a PhD.
Demonstrated success coaching and mentoring junior and early-career analytics or data science colleagues and 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 own delivery quality and measurable business outcomes in a matrixed environment.
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 they create business value.
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.

Responsibilities

Own the multi-year strategic analytics agenda for Global Consumer Payments in partnership with business and analytics leaders, aligned with Visa’s growth priorities and Consumer Payments business strategy.
Translate executive business questions into analytical portfolios with clear scope, methods, delivery plans, and expected impact, and coordinate resource needs with partners.
Advise senior Product, Marketing, Finance, and Technology leaders, shaping strategy and decisions.
Identify market, product, customer, issuer, merchant, and portfolio opportunities through analysis of Visa data and the broader payments ecosystem.
Quantify the value of analytics and AI investments and communicate impact in terms of growth, performance, risk, efficiency, and decision speed.
Coach and mentor junior and early-career data scientists and strategic analysts through problem framing, execution, stakeholder adoption, technical reviews, and constructive feedback.
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.
Promote reusable frameworks, documented methodologies, common metrics, and scalable tools to support a single-source-of-truth culture.
Build 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.
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 workflows, improve insight quality, and address new business questions.
Build and guide the development of scalable dashboards, decision tools, and self-service analytics.
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.
Turn complex analysis into executive-ready narratives, recommendations, and decision frameworks.
Represent Consumer Payments analytics in senior forums and influence investment choices, product direction, and portfolio performance.
Introduce methods, reusable assets, and innovative approaches that strengthen Consumer Payments Data and Analytics capabilities.