Associate Director, Data Quality Lead
Core
Define and advance enterprise data quality standards, frameworks, and practices to ensure accurate, reliable data assets for analytics, innovation, and AI initiatives.
Role type
Senior IC data quality lead (Associate Director)
Builds
Enterprise data quality frameworks, scalable quality rules, scorecards, dashboards, and automated observability capabilities.
Domain
Life sciences / Pharma data governance and quality
Deliverable
production ML models | dashboards & analysis
Required skills
Data quality dimensions, data profiling, data validation, data cleansing, root cause analysis, data governance frameworks, data stewardship, metadata management, data lineage, SQL, data observability platforms, data catalogs, data pipeline monitoring, AI-ready data concepts
Preferred skills
Regulated industry experience (pharma/life sciences), team leadership, cross-functional collaboration
Technologies
SQL, data observability platforms, data catalogs, workflow tools, reporting dashboards
Responsibilities
Define enterprise data quality standards and measurement practices; Establish scalable quality rules, thresholds, and dashboards; Partner with stakeholders to translate business needs into data quality requirements; Embed data quality controls in the data product lifecycle; Lead monitoring, reporting, and performance tracking for critical data assets; Drive data quality issue triage and resolution; Collaborate with engineering to automate quality checks; Support AI-ready data initiatives; Foster a culture of accountability and continuous improvement.
Seniority
Senior, hands-on IC with team leadership
