Associate Director, Data Quality Lead

Role: Associate Director, Data Quality at Novartis, focusing on establishing and advancing enterprise data quality standards to support AI initiatives, regulatory compliance, and data-driven decision-making. Responsibilities: define quality frameworks, develop measurement tools, embed quality controls in data lifecycle, monitor critical data assets, lead issue resolution, automate quality checks with engineering, and promote a culture of data trust and accountability. Requirements: 8+ years in data quality, with at least 3 years leading teams in regulated industries like pharma or life sciences; expertise in data profiling, validation, governance, and tools such as SQL, data observability platforms, and data catalogs; understanding of data engineering and AI-ready data concepts. Preferred: experience with data pipelines, lineage, metadata, and data certification processes. HighValue: emphasis on regulated industry experience, data governance, AI-ready datasets, and cross-functional collaboration. WorkSetup: primarily remote with some travel or onsite work in East Hanover, NJ; no visa sponsorship or relocation support.