Director, Finance Data Platform – Data Modeling & Platform Features

About Us 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. Job Description The Director, Finance Data Platform – Data Modeling & Platform Features is responsible for leading the   design, evolution, and adoption of enterprise finance data models and shared platform capabilities. This role focuses on building   analytically rigorous, scalable data foundations   that enable consistent reporting, advanced analytics, automation, and emerging AI use cases across Finance. This leader operates at the intersection of   Finance, Data Engineering, Analytics, and Enterprise Architecture, ensuring finance data is   well‑modeled, governed, and technically enabled   across modern cloud data platforms. Key Responsibilities: Finance Data Modeling Leadership Lead the design and governance of   canonical finance data models, including GL, Expense, Cost Centers, Legal Entities, Accounting Periods, and enterprise hierarchies. Define and enforce   dimensional and semantic modeling standards   to ensure consistent metrics and analytical outputs. Translate accounting and finance requirements into   scalable analytical data models   implemented in cloud data platforms. Ensure strong alignment between   source systems, data pipelines, modeled layers, and consumption tools. Platform Features & Technical Enablement Own the product direction for   shared 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 using   modern data platforms such as Databricks and Snowflake. Leverage   SQL and analytical modeling techniques   to validate models, troubleshoot issues, and guide technical design decisions. Enable advanced use cases including   automation, predictive analytics, and AI‑assisted insights. Cross‑Functional Leadership & Influence Act as a key connector across   Controllership, FP&A, Accounting, Finance Operations, Data Engineering, BI, and Enterprise Architecture. Influence priorities and technical direction in a   matrixed environment, balancing finance needs with platform scalability. Facilitate alignment on   data definitions, metrics, and analytical standards   across teams. Communicate complex technical and data concepts in   clear, business‑focused 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 for   data quality, validation, ownership, and documentation. Ensure finance data assets are   discoverable, trusted, and reusable. Drive adoption of BI and analytics tools by providing   well‑modeled, performant datasets. This is a hybrid position.   Expectation   of   days in   the   office will be confirmed by your Hiring Manager.   Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications 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 hands‑on 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 problem‑solving skills. Preferred Qualifications • Experience with AI/ML or GenAI‑enabled analytics tools (e.g., forecasting, anomaly detection, intelligent insights). • Familiarity with data transformation frameworks (e.g., dbt or equivalent). • Experience in SOX‑compliant or regulated environments. • Exposure to metrics layers or semantic modeling tools. 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. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% 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 tel