Associate Director, Data Quality

Role Summary

Associate Director, Data Quality at Vertex. Lead the data quality strategy, platforms, and processes across the enterprise, partnering with data engineers, analysts, data stewards, and product owners to enable observability and trust in data.

Responsibilities

• Develop and execute DQ capability and technology roadmaps aligned to Vertex business priorities.
• Collaborate with portfolio managers, governance leads, and business users to gather DQ technology and platform requirements.
• Develop and promote data quality frameworks, standards, and processes tailored to life sciences data.
• Enable data observability with comprehensive monitoring and issue detection across data assets.
• Leverage AI and automation to enhance data quality coverage, reduce manual effort, and accelerate remediation.
• Define and deliver data quality metrics in collaboration with the Data Governance team, driving continuous improvement.
• Provide guidance and training on data quality tools and methodologies to technical and non-technical stakeholders.
• Develop and manage SOPs for ongoing data quality assessment, remediation, and exception handling.
• Own and maintain DQ platforms and manage platform strategy and roadmaps (quality tools, observability, issue lifecycle, integration).
• Manage technology teams running DQ technology and platforms.
• Ensure compliance with regulations and DTE lifecycle/change management in partnership with Compliance, Data Privacy, Data Security, and QA teams.

Qualifications

• Proven track record building and delivering a data quality program and platform at enterprise scale in a dynamic data environment.
• Experience deploying data quality tools (Great Expectations, SODA) and platforms (Collibra DQ, Monte Carlo, Anomalo).
• Strong background in data observability and integrations.
• Understanding of data engineering, analytics, and data pipeline architectures.
• Familiarity with AI/ML techniques for data profiling, anomaly detection, and automation.
• Excellent analysis, problem-solving, communication, and leadership skills.
• Strong written and verbal communication and presentation skills.
• Experience running IT managed services or outsourced/offshore teams.
• Proficient with agile tools (Jira, Bitbucket, Confluence).
• Excellent MS Office skills including Project, Visio, Excel, and PowerPoint.

Education

• Bachelor's degree required (technology discipline preferred).
• 8+ years of data engineering, data management, or related roles in life sciences or related industries.
• 3+ years delivering and defining data quality capabilities across functions.