V

Visa

Runs a global network for digital payments

Director – VAS Finance Ops & Transformation

Corporate Finance & FP&APosted on Nov 6
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 10 years of work experience with a bachelor's degree, 8 years with an advanced degree, or 3 years with a PhD.
  • Experience driving finance transformation, operating model improvements, process redesign, or technology-enabled change within a large, matrixed organization.
  • Demonstrated experience improving business processes and implementing analytics, workflow, automation, or operational improvement initiatives.
  • Proficiency with visualization, workflow, and productivity tools such as Power BI, Tableau, Power Automate, Power Apps, Excel, SharePoint, or similar platforms.
  • Strong communication skills to engage cross-functional and senior stakeholders, distill complex issues, and translate analysis into concise, actionable recommendations.
  • Strong attention to detail, strategic judgment, curiosity, and creativity, and ability to connect execution with broader business and operating-model objectives.
  • Project management and organizational skills, including the ability to drive change from concept through execution, adoption, and measurable impact.
  • Practical familiarity with approved AI, automation, workflow, and analytics tools, including assessing use cases, partnering with technical teams, and supporting responsible deployment within enterprise governance standards.
  • Ability to translate stakeholder needs into practical process, reporting, workflow, or automation solutions in partnership with finance and technology teams.
  • Adaptability in a fast-paced, ambiguous environment and a continuous-improvement mindset.
  • Ability to use technology-enabled capabilities to optimize or redesign workflows and achieve measurable impact in finance processes and deliverables, including efficiency gains, quality improvements, and stronger controls.
  • Understanding of enterprise finance, planning, reporting, and ERP systems, such as Oracle Hyperion Planning, SAP, EPM platforms, Microsoft project/productivity suites, or similar integrated systems.
  • Proficiency in data analysis and automation tools, hands-on Excel ability, and familiarity with SQL, Python, Power Query, or similar capabilities for data analysis and automating recurring tasks.
  • Exposure to AI-enabled productivity tools, natural-language capabilities, APIs, or related technologies, and understanding of their use in finance workflows.

Responsibilities

  • Lead initiatives that simplify, standardize, and scale VAS Finance processes across planning, close, reporting, forecasting, governance, and decision support.
  • Partner with stakeholders to identify high-value improvement opportunities, shape execution plans, and build repeatable capabilities that strengthen operating discipline and support greater consistency and scale.
  • Coordinate cross-functional execution across Central Finance, regional and product FP&A, Finance Transformation, Technology, COE, and business partners.
  • Translate transformation priorities into practical execution plans, connect owners and dependencies, track progress, resolve friction points, and embed new processes into day-to-day FP&A operations.
  • Identify and support approved AI-enabled, automation, workflow, and analytics use cases that create measurable value, improving reporting, planning, forecasting, close coordination, commentary capture, variance analysis, executive decision support, controls, and operating consistency.
  • Drive change management, training, documentation, and adoption routines to sustain new capabilities.
  • Establish governance, controls, and operating standards for new workflows, ensuring solutions are sustainable, auditable, and aligned with Finance policies, data requirements, and approved technology standards.
  • Track impact through measurable outcomes, including efficiency gains, cycle-time reduction, adoption, quality improvements, control enhancements, and financial or operational value delivered.

Desired Qualifications

  • 12 or more years of work experience with a bachelor's degree, 8–10 years with an advanced degree, or 6 or more years with a PhD.
  • A bachelor's degree or higher in Finance, Economics, Business, Data Analytics, Computer Science, or a related field.
  • Working knowledge of data models, analytics methods, and basic machine learning concepts; the role focuses on applying technology to finance transformation and operational outcomes rather than developing machine learning models.

About the Company

Visa

Runs a global network for digital payments

Visa runs a global payment network that connects banks, merchants and consumers so card purchases and money transfers move between financial institutions. Its VisaNet system handles authorization, clearing and settlement, linking the bank behind a buyer's card with the bank that accepts a merchant's payment. The company earns fees from payment activity, transaction processing and international transactions, and sells fraud prevention tools, payment software and consulting services to businesses. Banks and other partners issue Visa branded cards and use its technology to build their own payment products. Visa traces its roots to a Bank of America card program launched in 1958 and is headquartered in San Francisco.

Company size
10,001+
Company stage
N/A
Total funding
$24.2M
Headquarters
San Francisco, CA
Founded
1958

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