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Tier-1 brand and metro location increase competition, while specialized data governance reduces applicant density.
Role demands specialized data governance and regulatory experience, limiting cross-industry transferability.
Requires deep data governance, regulated (GxP) experience and specific tooling, creating strict screening filters.
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Lead and develop the Data Quality Assurance Framework aligned with Global Data Governance strategy, ensuring data integrity across global operations.
Drive adoption of AI-enabled data quality tools and improve workflows, managing cross-functional data quality assurance forums and reporting on governance compliance and performance.
Design and implement data policies balancing risk and compliance, while leading change initiatives for data literacy, culture, and process improvement.
Bachelor’s degree in business administration, Information/Data Science, Informatics, computer science, economics or related field, or equivalent experience.
Significant experience in data quality assurance, data profiling, advanced data analysis, and collaboration with data governance managers.
Proven experience leading diverse, distributed teams with global and cross-cultural exposure.
Hands-on technical skills with AI-enabled data quality tools, Snowflake, AWS, Power BI/Visualization tools and understanding of regulated environments like GxP, data privacy, and security.
Experienced leader capable of balancing strategic direction with hands-on involvement in data quality and governance across multiple functions globally.
Strong operator in complex data governance environments within regulated industries such as pharmaceuticals or life sciences.
Demonstrated ability to implement simplified, innovative data quality processes leveraging AI and business/IT partnerships to ensure compliance and risk mitigation.