Director, Finance Data Platform - Data Modeling & Platform Features

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world.

Progress starts with you.

The Director, Finance Data Platform - Data Modeling & Platform Features is responsible for leading thedesign, evolution, and adoption of enterprise finance data models and shared platform capabilities. This role focuses on buildinganalytically rigorous, scalable data foundationsthat enable consistent reporting, advanced analytics, automation, and emerging AI use cases across Finance.

This leader operates at the intersection ofFinance, Data Engineering, Analytics, and Enterprise Architecture, ensuring finance data iswellmodeled, governed, and technically enabledacross modern cloud data platforms.

Key Responsibilities:

Finance Data Modeling Leadership

• Lead the design and governance ofcanonical finance data models, including GL, Expense, Cost Centers, Legal Entities, Accounting Periods, and enterprise hierarchies.
• Define and enforcedimensional and semantic modeling standardsto ensure consistent metrics and analytical outputs.
• Translate accounting and finance requirements intoscalable analytical data modelsimplemented in cloud data platforms.
• Ensure strong alignment betweensource systems, data pipelines, modeled layers, and consumption tools.

Platform Features & Technical Enablement

• Own the product direction forshared finance data platform features, including:
  • Semantic layers and governed metrics
  • Data quality and reconciliation frameworks
  • Metadata, lineage, and documentation tooling
  • Standardized data access patterns for analytics and reporting
• Partner with Data Engineering to drive implementation usingmodern data platforms such as Databricks and Snowflake.
• LeverageSQL and analytical modeling techniquesto validate models, troubleshoot issues, and guide technical design decisions.
• Enable advanced use cases includingautomation, predictive analytics, and AIassisted insights.

CrossFunctional Leadership & Influence

• Act as a key connector acrossControllership, FP&A, Accounting, Finance Operations, Data Engineering, BI, and Enterprise Architecture.
• Influence priorities and technical direction in amatrixed environment, balancing finance needs with platform scalability.
• Facilitate alignment ondata definitions, metrics, and analytical standardsacross teams.
• Communicate complex technical and data concepts inclear, businessfocused language.

Controllership, Sourcing & Expense Analytics

• Partner with Controllership, Sourcing & Expense Data needs & analytics.
• Incorporate controllership requirements into platform standards without limiting analytical flexibility.

Governance, Quality & Analytics Adoption

• Establish standards fordata quality, validation, ownership, and documentation.
• Ensure finance data assets arediscoverable, trusted, and reusable.
• Drive adoption of BI and analytics tools by providingwellmodeled, performant datasets.

This is a hybrid position.Expectationofdays intheoffice will be confirmed by your Hiring Manager.

Basic Qualifications:

• 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications:

• 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• 10+ years of experience in finance data, analytics, or data platform roles, with 5+ years in leadership.
• Strong handson expertise in finance data modeling and analytics, including dimensional modeling.
• Advanced proficiency in SQL for data analysis, validation, and modeling.
• Experience working with cloud data platforms such as Databricks and/or Snowflake.
• Experience enabling analytics through BI tools (e.g., Tableau, Power BI, Looker, or similar).
• Proven ability to work across Finance, Data Engineering, and Analytics organizations.
• Strong analytical mindset and problemsolving skills.
• Preferred Qualifications
• Experience with AI/ML or GenAIenabled analytics tools (e.g., forecasting, anomaly detection, intelligent insights).
• Familiarity with data transformation frameworks (e.g., dbt or equivalent).
• Experience in SOXcompliant or regulated environments.
• Exposure to metrics layers or semantic modeling tools.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel5-10% 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 EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is 170,700.00 to 273,200.00 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.