Principal Product Manager, Mid-Market Data Intelligence

Intuit; Mountain View (CA); On-site; USD 243,000 - 329,000; Full time

Job summary

Intuit seeks a Principal Product Manager for Mid-Market Data Intelligence to define the data strategy and architecture across ingestion, modeling, governance, and surface layers for 1P and 3P sources. You will lead cross-functional efforts with engineering and AI science to ensure a trustworthy data foundation for enterprise workflows.

You will direct user research with Mid-Market customers and internal teams, set OKRs for data quality and platform maturity, and evangelize the roadmap to

Qualifications

• 10+ years in Product Management or equivalent, with data platform/infra focus.
• Proven ability to take enterprise data products from concept to production with broad adoption.
• Strong understanding of AI-ready data architecture, governance, lineage, and data quality.

Responsibilities

• Define vision, strategy, and roadmap for Mid-Market Data Intelligence across 1P/3P sources.
• Design architecture for integrating third-party data with first-party data into a coherent data layer.
• Partner with engineering and AI science to define semantic and governance layers for AI agents.
• Direct user research with Mid-Market customers and internal teams to identify high-value insights and reporting use cases.
• Set OKRs and success metrics for platform maturity and data quality; evangelize roadmap to leadership.

Skills

Data strategy

Executive communication

Cross-functional leadership

AI-ready data architecture

Tools

Data catalogs

Governance tools

AI/ML platforms

Job description

Intuit seeks a Principal Product Manager for Mid-Market Data Intelligence to define the data strategy and architecture across ingestion, modeling, governance, and surface layers for 1P and 3P sources. You will lead cross-functional efforts with engineering and AI science to ensure a trustworthy data foundation for enterprise workflows.

You will direct user research with Mid-Market customers and internal teams, set OKRs for data quality and platform maturity, and evangelize the roadmap to