Senior Staff Finance Data Architect & AI Controls

Intuit; Mountain View (CA); On-site; USD 192,000 - 259,000; Full time

Benefits offered by this job

Cash bonus eligibility

Equity rewards

Benefits

Job summary

Intuit is hiring Staff Technical Data Analyst to lead finance data reporting across Revenue, Expense, and Workforce domains. You will own architecture, governance, and roadmap for SOX and non-SOX reports, partnering with Finance, Internal Audit, and Data Engineering to ensure accuracy, lineage, and audit readiness.

You will drive modernization through GenAI-enabled analytics, data quality frameworks, and scalable data pipelines while mentoring the team and delivering trustworthy dashboards.

Qualifications

• 10+ years of data analytics, BI, or regulated reporting experience.

Responsibilities

• Own architecture, roadmap, and health of a large SOX/non-SOX reporting portfolio across Finance domains.
• Design and maintain data validation, control frameworks, and audit-ready reporting.
• Lead data migrations and migrations, preserving data lineage and auditability.
• Partner with Internal Audit, Finance, and Data Eng to ensure accuracy and governance.
• Explore GenAI/agentic AI to modernize financial reporting and controls testing.
• Mentor analysts and drive adherence to high data quality and documentation standards.

Skills

SQL & Data Modeling

Python

BI Dashboards

Qlik Sense

Tableau

Power BI

Cloud Data Platforms

Data Quality & Governance

Education

BS in Computer Science / Information Systems / Finance or equivalent

Tools

Qlik Sense

Tableau

Power BI

Databricks

Snowflake

AWS / Glue / Lake Formation

Job description

Intuit is hiring Staff Technical Data Analyst to lead finance data reporting across Revenue, Expense, and Workforce domains. You will own architecture, governance, and roadmap for SOX and non-SOX reports, partnering with Finance, Internal Audit, and Data Engineering to ensure accuracy, lineage, and audit readiness.

You will drive modernization through GenAI-enabled analytics, data quality frameworks, and scalable data pipelines while mentoring the team and delivering trustworthy dashboards.