IQVIA
10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
🤖 Artificial Intelligence
💰 $1G Post-IPO Debt on 2023-05
Healthcare Insurance • Biotechnology • Artificial Intelligence
IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.
Product Manager
🔥 14 hours ago
🌽 Illinois, New Jersey, +1 more states – Remote
💵 $87k - $217.6k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
✅ Product Manager
🦅 H1B Visa Sponsor
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IQVIA
10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
🤖 Artificial Intelligence
💰 $1G Post-IPO Debt on 2023-05
Healthcare Insurance • Biotechnology • Artificial Intelligence
IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.
📋 Description
• Design, build, and optimize data pipelines and architectures for digital products. • Collaborate with product managers, data scientists, and engineering teams to ensure data integrity. • Optimize data workflows for performance and cost efficiency. • Implement best practices for data governance, security, and compliance. • Support AI-driven use cases and advanced analytics initiatives.
🎯 Requirements
• Bachelor’s degree in Computer Science, Engineering, or related field. • 5+ years of experience in data engineering or similar roles. • Strong proficiency in Python and SQL. • Hands-on experience with distributed data processing frameworks (e.g., Spark, Hadoop). • Expertise in cloud platforms (AWS, Azure, or GCP) and data warehousing solutions. • Solid understanding of data governance and security best practices.
🏖️ Benefits
• incentive plans • bonuses • health and welfare benefits
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