Back
Tier-1 brand and metro location increase competition, but senior specialized data-platform skills reduce applicant density.
Core data engineering skills are transferable, but pharma regulatory and medical-data experience increases domain specificity.
Explicit 8+ years, architectural data-platform experience, and mandatory cloud/Databricks/Tableau skills enforce strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect, design, and lead development of advanced data integration solutions and analytical data models to support Global Medical teams' analytics and visualization needs.
Drive API-based integration, data pipeline performance optimization, and ensure compliance with regulatory standards (HIPAA, GDPR).
Collaborate across functions to translate business requirements into scalable visualization solutions; mentor teams and present data insights to senior leadership.
8 to 13 years of Information Systems experience, preferably including data analytics and visualization.
Technical expertise in architecting visualization solutions using tools like Tableau, Power BI, or React.js equivalent.
Proficiency in AWS, Databricks (including Python, SQL, Node.js), and experience integrating data pipelines.
Bachelor's or higher degree in a relevant field; strong understanding of medical data models and regulatory compliance requirements.
Experienced in leading complex data architecture and visualization projects within pharmaceutical, life sciences, or healthcare sectors in a global/matrixed environment.
Skilled in scalable, reusable visualization frameworks and advanced analytics techniques including AI and predictive analytics.
Familiarity with Scaled Agile Framework (SAFe) and cloud platforms, able to drive cross-functional collaboration and deliver strategic organizational initiatives.