Back
Niche MDM and governance skills required, midsize employer and non-metro location reduce applicant density.
Regulated clinical research preference and specialized MDM/governance tools increase domain specificity and reduce cross-industry transferability.
Explicit 2+ years plus mandatory governance/MDM and specific cloud, Databricks, Purview, and MDM tool experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Manage end-to-end lifecycle of clinical data products, ensuring production-readiness and high quality.
Own data governance and master data management strategies, maintaining consistency, compliance with global clinical regulations, and data security.
Oversee DataOps and pipelines with automated testing, CI/CD, real-time monitoring to ensure reliability and reduce data debt.
Bachelor’s or Master’s degree in Data Science, Information Systems, or related technical field.
Minimum 2 years of experience in data governance and/or master data management within regulated industries like Life Sciences or Clinical Research.
Professional experience with Azure cloud environment, data warehouses and/or Databricks, and governance tools like Microsoft Purview or Databricks Unity Catalog.
Work Experience Required: Minimum 2 years in relevant data governance/mdm roles; Notice Period: Not explicitly mentioned in the JD.
Experienced in regulated industry data management, especially Life Sciences or Clinical Research domains.
Strong operational focus on ensuring data product quality, compliance, and scalable pipeline automation.
Skilled with cloud platforms (Azure), MDM tools (Profisee, Informatica, or Ataccama), and metadata/governance management platforms.