Healthcare Data Product Manager
IQVIA
About the role
About
Are you ready to revolutionize healthcare through innovative data solutions? At IQVIA, we leverage one of the world's most extensive healthcare datasets to develop transformative digital products and AI-driven solutions. As a Healthcare Data Product Manager, you'll be instrumental in constructing scalable data platforms that foster smarter decision-making and enhance patient outcomes. Join a global leader with the dynamic spirit of a digital-first team—where your ideas are valued and your impact is significant.
Job Overview
In this role, you will design, build, and optimize data pipelines and architectures essential for our cutting‑edge digital products. Collaboration will be key as you work alongside product managers, data scientists, and engineering teams to ensure data integrity, scalability, and performance across diverse healthcare datasets. This opportunity offers you exposure to AI efforts and big data technologies, along with the chance to shape product strategy in a fast‑paced, customer‑focused environment. This position is fully remote for candidates based in the U.S. and operates on Eastern Standard Time.
Essential Functions
- Develop and maintain efficient and scalable data pipelines and ETL processes for extensive, intricate datasets.
- Optimize data workflows for enhanced performance, reliability, and cost‑effectiveness.
- Collaborate with product managers and stakeholders to translate business needs into technical solutions.
- Implement best practices for data governance, security, and compliance in a highly regulated environment.
- Support AI‑driven applications and advanced analytics initiatives.
- Troubleshoot and resolve data‑related challenges across multiple systems and platforms.
Qualifications
Required Skills
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or related 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.
Nice‑to‑Have Skills
- Experience with API integrations and microservices architecture.
- Familiarity with AI/ML workflows and advanced analytics.
- Background in healthcare data and regulatory compliance.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
Company Overview
IQVIA Digital delivers exceptional brand experiences through innovative solutions that prioritize customer insights and integrated strategies. We provide validated, privacy‑enhanced data and analytics, pioneering healthcare technologies, and the expertise needed to create an effective and adaptive marketing model that drives improved quality of care and patient outcomes.
Equal Opportunity Statement
IQVIA is committed to equal opportunity employment and encourages all qualified individuals to apply, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.
Hiring Integrity
We adhere to integrity in our hiring process and maintain a zero‑tolerance policy for candidate fraud. All submitted information must be accurate and complete; any inaccuracies may lead to immediate disqualification from the application process or termination of employment if discovered later.
Compensation
The potential base pay range for this role, when annualized, is $87,000.00 – $217,600.00. The actual base pay offered may vary based on several factors including qualifications, experience, location, and work schedule. Additional compensation may include incentive plans, bonuses, and benefits.
Application Note
At IQVIA, we seek diverse talent with innovative minds and an unwavering commitment to making a difference. Every role contributes to our shared goal of enhancing patient outcomes globally. Thank you for considering a career with us.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or related 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.
Responsibilities
- Develop and maintain efficient and scalable data pipelines and ETL processes for extensive, intricate datasets.
- Optimize data workflows for enhanced performance, reliability, and cost-effectiveness.
- Collaborate with product managers and stakeholders to translate business needs into technical solutions.
- Implement best practices for data governance, security, and compliance in a highly regulated environment.
- Support AI-driven applications and advanced analytics initiatives.
- Troubleshoot and resolve data-related challenges across multiple systems and platforms.
Skills
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