Data Architect responsible for defining enterprise data architecture on AWS and Databricks Lakehouse platforms. Enabling scalable data lakes and enterprise analytics for financial services organizations.
About the role
- Product Owner managing data-centric products and AI solutions for IQVIA’s commercial and analytics platforms. Collaborating cross-functionally to drive product roadmap and development initiatives.
Responsibilities
- Own the product roadmap for data engineering and AI components across IQVIA’s platforms (e.g., Snowflake IDP, Databricks, OneKey Accelerated Insights, OneKey AI Assistants…)
- Translate business requirements into technical specifications and user stories for engineering and AI development teams
- Prioritize backlog items based on business value, technical feasibility, and stakeholder input
- Collaborate with Data Engineers, Architects, AI Scientists, and Product Managers to design scalable, secure, and reusable solutions
- Ensure alignment with global templates, governance standards, and interoperability frameworks
- Drive agile ceremonies (e.g., sprint planning, reviews, retrospectives) and ensure timely delivery of milestones
- Engage with internal stakeholders and clients to gather feedback and continuously improve product features
- Monitor platform performance, data quality, and usage metrics to inform future enhancements
Requirements
- Proven experience as a Product Owner, Technical Product Manager, or Data Platform Lead
- Strong understanding of data engineering concepts, including ETL/ELT, data modeling, APIs, and cloud-native architecture
- Solid grasp of AI development workflows, including model training, evaluation, deployment, and monitoring
- Hands-on experience with Snowflake, Databricks, Azure, or similar platforms
- Familiarity with IQVIA’s data assets (e.g., OneKey, Infine Dimensions) is a strong advantage
- Excellent communication and stakeholder management skills
- Ability to balance strategic vision with day-to-day execution
- Fluent in English; additional languages are a plus
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
- 5+ years of relevant experience, or equivalent combination of education and expertise.
Benefits
- A chance to lead the development of next-generation healthcare data and AI platforms
- A collaborative, mission-driven culture focused on innovation and impact
- Exposure to global clients and cutting-edge technologies
- Flexibility, autonomy, and opportunities for growth
- A permanent contract and competitive compensation aligned with your experience
- Training and development to deepen your expertise and expand your career
Job title
Job type
Experience level
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Not specified
Degree requirement
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