Senior Product Manager - AI Data Quality & Tooling

Zoominfo; Waltham (MA); Hybrid; USD 126,000 - 198,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

ZoomInfo seeks a Sr Product Manager, AI Data Foundation to own the data quality monitoring platform, self-service reporting, and internal Data Tools powering data research and analysis. You will lead at the intersection of AI, data quality, and platform PM, building systems that speed data teams and enable proactive improvements.

You will evangelize and build, aligning with engineering and data science to deliver AI-powered data quality enhancements, anomaly detection, and self-healing pipelines

Qualifications

• 5+ years of PM experience with data products or data-intensive SaaS.
• Proven track record in data quality, observability, or self-service analytics.
• Experience shipping AI/ML powered product capabilities for data quality or automation.
• Strong metrics mindset and ability to drive adoption across internal users.
• Excellent communication and ability to translate complex concepts into PRDs.

Responsibilities

• Own end-to-end product strategy for data quality monitoring and internal Data Tools platform.
• Define KPIs for data quality, coverage, accuracy, and freshness across domains.
• Build self-service dashboards and reporting tools with real-time data health visibility.
• Identify and ship AI-driven data quality enhancements and auto-remediation capabilities.
• Drive adoption of tooling across data ops, engineering, and PM teams through evangelism and docs.
• Manage dependencies across data domains to integrate monitoring with upstream systems.
• Collaborate with engineering and data science for AI-powered anomaly detection and self-healing pipelines.

Skills

Product management

Data platforms

AI/ML product capabilities

Data quality

Stakeholder communication

Tools

dbt

Snowflake

Databricks

Fivetran

Job description

ZoomInfo seeks a Sr Product Manager, AI Data Foundation to own the data quality monitoring platform, self-service reporting, and internal Data Tools powering data research and analysis. You will lead at the intersection of AI, data quality, and platform PM, building systems that speed data teams and enable proactive improvements.

You will evangelize and build, aligning with engineering and data science to deliver AI-powered data quality enhancements, anomaly detection, and self-healing pipelines