Back
Strong Tier-1 brand, metro posting, and generalist data lead scope produce medium competition.
Regulatory pharma experience and data governance domain knowledge make background fit highly industry-sensitive.
Regulated pharma environment, mandatory data quality expertise and specific tooling knowledge increase strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and develop the Data Quality Assurance Framework within Global Operations, driving data governance strategy and performance reporting.
Oversee design and implementation of data policies, compliance checks, and risk management to ensure data integrity and regulatory adherence.
Drive adoption of AI-enabled data quality tools and lead change initiatives to enhance data literacy, culture, and multi-functional engagement.
Bachelor’s degree in business administration, Information/Data Science, Informatics, computer science, economics or related field or equivalent experience.
Significant experience with data quality assurance, profiling, advanced data analysis, and collaboration with data governance managers.
Demonstrated ability to lead a diverse, distributed global team and implement data quality improvements.
Experience with regulated environments (e.g., GxP, data privacy and security) and AI-enabled data quality tooling; Work Experience Required: Not explicitly mentioned in the JD.
Deep domain expertise in data quality assurance within global and regulated settings, preferably pharma manufacturing or life sciences.
Strong leadership with proven experience in managing cross-functional data governance forums and driving strategic initiatives.
Technical proficiency with data governance tools such as Snowflake, AWS, Power BI, and data wrangling techniques, combined with business/IT partnership skills.