Director, Finance Data Platform – Data Modeling & Platform Features

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 wellmodeled 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 AIassisted insights.

CrossFunctional 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 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 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 wellmodeled performant datasets.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Qualifications :

Basic Qualifications:

• 10 years of relevant work experience with a Bachelors 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 Bachelors 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.

Additional Information :

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 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 170700.00 to 273200.00 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 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.

Remote Work :

No

Employment Type :

Full-time