Associate Director, Data Analytics

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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

• Provide technical and people leadership to design, build, and scale data and analytics solutions. • Own end-to-end delivery across multiple workstreams. • Establish repeatable engineering and governance standards. • Partner with Product, Engineering, Sales, and client stakeholders to grow and modernize analytics capabilities. • Lead, hire, coach, and retain a high-performing team; set goals, provide feedback, and drive career development. • Own the end-to-end lifecycle of data and analytics products—from discovery through build, release, adoption, and operations. • Operationalize cloud data products (Azure/AWS) using strong engineering practices: Git, CI/CD, automated testing, documentation. • Deliver scalable pipelines, automations, and accelerators for compliance/regulatory reporting and operations using Python, SQL.

🎯 Requirements

• Bachelor’s degree in a relevant field or equivalent experience. • Proven people leadership and delivery ownership in a matrix environment. • Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation. • Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or equivalent). • Strong stakeholder communication/presentation; calm, assertive, and diplomatic. • Business acumen: planning, prioritization, and financial awareness. • Experience leading data governance / metadata / lineage / stewardship operating models (preferred). • Healthcare/life sciences exposure where compliance/auditability are critical (preferred). • Experience delivering governed semantic models and self-service analytics (preferred).

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses

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