Own the enterprise Data Quality (DQ) platform strategy and execution, with an explicit mandate to build AI-first, scalable and embedded data quality capabilities across the enterprise
Job Summary
Own the enterprise Data Quality (DQ) platform strategy and execution, with an explicit mandate to build AI-first, scalable and embedded data quality capabilities across the enterprise.
Define and execute an AI-first data quality strategy, leveraging LLMs and intelligent agents for rule generation, anomaly detection, impact analysis, root-cause identification and remediation recommendations.
Partner with Data Governance leadership and functional councils to define quality metrics, KPIs and assurance mechanisms aligned to business risk and fitness-for-use.
Matching Summary
Own the enterprise Data Quality (DQ) platform strategy and execution, with an explicit mandate to build AI-first, scalable and embedded data quality capabilities across the enterprise.
Salary
Base: $160,000 - $240,000; Bonus/Equity: Eligible for annual bonus and annual equity awards; Benefits: Market-leading benefits including PTO, educational assistance, 401(k)
Skills & Requirements
Must-have
AI-first data quality strategy
LLM-enabled data management
Data observability capabilities
Quality-by-design frameworks
Enterprise Data Governance Framework
Nice-to-have
Scalable and embedded capabilities
Human-in-the-loop patterns
Continuous improvement
Stakeholder management skills
Key Requirements
8+ years of experience in data engineering, data platforms, data management
3+ years leading enterprise data quality, observability, or data governance execution
Bachelor’s degree required
Experience in life sciences or highly regulated industries preferred