Principal Product Manager - AI Data Quality

About the role

The role is part of a mission to build an AI-native enterprise, focusing on a Data Quality Platform built on Databricks and Unity Catalog. This role requires deep expertise in data platforms, analytics, and AI infrastructure.

Responsibilities

• Build the AI-Ready Data Quality Platform
• Define and ship native data quality capabilities inside Databricks Lakehouse
• Productize policies and controls within Unity Catalog
• Embed data contracts and validation logic directly into pipelines
• Partner with data engineering to integrate dbt-based transformation layers into quality frameworks
• Operationalize Data Quality in the AI Data Fabric
• Design real-time anomaly detection systems
• Build upstream schema validation into CI/CD workflows
• Define Service Level Objectives (SLOs)/Service Level Agreements (SLAs) for data products
• Implement observability across streaming and batch architectures
• Treat data quality like SRE treats uptime
• Drive Data Ownership as a Product Discipline
• Establish a data product ownership model across service teams
• Build self-service tooling for teams to monitor and certify their data
• Incentivize measurable quality accountability at the domain level

Requirements

• 5+ years in Product Management for Data Platforms, Analytics, or AI Infrastructure
• Deep working knowledge of Databricks Lakehouse architecture, Unity Catalog governance constructs, dbt transformation workflows, CI/CD patterns for data pipelines, data observability and monitoring patterns
• Strong SQL fluency and comfort reading Python/Scala data pipeline code
• Experience defining data contracts and schema evolution strategies
• Understanding of streaming frameworks (Kafka, Spark Structured Streaming, etc.)
• Experience supporting AI/ML workloads in production environments

Qualifications

• Experience with modern data observability platforms (Monte Carlo, Bigeye, etc.)
• Familiarity with feature stores and model lifecycle tooling
• Knowledge of domain-oriented data mesh architectures

Skills

• Technical fluency in AI, data platforms, and analytics
• Ability to define and ship platform capabilities that ensure AI data fabric trustworthiness, observability, and production-grade quality
• Experience with real-time anomaly detection systems and CI/CD integration
• Strong understanding of data governance and compliance
• Ability to drive data ownership and quality accountability

Benefits

• Annual base pay range: $156,800.00 - $235,200.00
• Flexible work arrangements
• Health, dental, and vision insurance
• 401(k) retirement savings plan
• Employee assistance program
• Professional development opportunities
• Flexible vacation and sick leave
• Comprehensive health and wellness programs
• Work-life balance initiatives
• Remote work options

Pay

$156,800.00 - $235,200.00 annually

Schedule

Full-time

Benefits

• Health, dental, and vision insurance
• 401(k) retirement savings plan
• Employee assistance program
• Professional development opportunities
• Flexible vacation and sick leave
• Comprehensive health and wellness programs
• Work-life balance initiatives
• Remote work options