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Tier-1 brand, remote role, and broad sought skills drive high applicant competition.
Drug-safety systems and GxP compliance make background fit highly industry-specific.
Explicit 10+ years plus mandatory cloud, Snowflake, AI/ML and regulated-compliance experience makes shortlisting strict.
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Lead design, development, and delivery of AI-driven data pipelines and Drug Safety Data products within GSK’s Global Safety Operations.
Develop scalable automated solutions using machine learning, OCR, and advanced analytics to improve data quality and reduce manual processes.
Ensure compliance with regulatory standards, maintain system reliability, and collaborate across teams to align technical solutions with the product roadmap.
10+ years of hands-on experience in data engineering, AI/ML, and automation within regulated industries.
Proficiency in Python (including PySpark and FastAPI preferred) and experience with cloud platforms such as Azure and Snowflake.
Experience implementing DevOps practices (CI/CD, version control, Azure DevOps) and working with business intelligence tools like Power BI.
Work Experience Required: 10+ years in relevant technical and regulated environments.
Experienced leader in AI-driven data platform design with focus on regulated pharmaceutical/drug safety domains.
Technical expert skilled in cloud data ecosystem (Azure, Snowflake), machine learning integration, and process automation for business impact.
Strategic thinker able to translate complex technical solutions into clear value drivers for stakeholders and deliver end-to-end product execution.