Senior Product Manager, AI Data Foundation

ZoomInfo ZoomInfo · Enterprise · Waltham, MA · 909 Product Management - Data

Product Manager for an AI Data Foundation platform, focusing on data quality monitoring, self-service reporting, and internal tooling to enhance data team efficiency and enable AI-driven data quality improvements and self-remediation.

What you'd actually do

  1. Own end-to-end product strategy for data quality monitoring, self-service reporting, and the internal Data Tools platform
  2. Proactively identify opportunities across the data portfolio where tooling and automation can create extreme leverage for data teams, PMs, and analysts
  3. Define and standardize metrics and KPIs for data quality, coverage, accuracy, and freshness across all data domains
  4. Build and deliver self-service dashboards and reporting tools that give stakeholders real-time visibility into data health
  5. Identify, prioritize, and ship AI-driven data quality enhancements and auto-remediation capabilities that reduce manual intervention at scale

Skills

Required

  • 5+ years of product management experience with a focus on data products, platforms, internal tooling, or data-intensive B2B SaaS
  • Demonstrated experience building data quality, monitoring, observability, or self-service analytics products
  • Proven ability to identify and ship AI/ML-powered product capabilities, particularly applied to data quality, automation, or workflow tooling
  • Strong understanding of data quality frameworks, metrics, anomaly detection, and the systems that produce and monitor data at scale
  • Platform and tooling product mindset with experience driving adoption across diverse internal user bases
  • Strong analytical skills with ability to independently define metrics, analyze data, and make data-driven decisions
  • Ability to solve complex technical problems in partnership with engineering and data science teams
  • Excellent communication skills with ability to translate complex technical concepts for diverse audiences and write clear PRDs
  • Proactive orientation - demonstrated ability to identify leverage opportunities across a portfolio, not just respond to inbound requests
  • B2B SaaS experience, preferably in data platforms, developer tools, or data operations

Nice to have

  • Experience with data observability, data catalog, or data governance platforms
  • Background in data engineering, analytics engineering, or data science prior to product management
  • Familiarity with modern data stack tooling (dbt, Snowflake, Databricks, Fivetran, etc.)
  • Experience building AI-powered automation or self-remediation capabilities
  • Knowledge of data privacy regulations (GDPR, CCPA) and their product implications

What the JD emphasized

  • AI/ML-powered product capabilities
  • AI-driven data quality enhancements and auto-remediation capabilities
  • AI-powered solutions for anomaly detection, root cause analysis, and self-healing data pipelines
  • AI-ready insights

Other signals

  • AI-driven data quality enhancements
  • anomaly detection
  • root cause analysis
  • self-healing data pipelines
  • AI-powered solutions