We’re seeking a Senior Manager of Engineering – Data Products to accelerate the AI transformation of Clarivate’s Life Sciences & Healthcare (LSH) product ecosystem.
Requirements
- Minimum 10+ years in data engineering, analytics engineering, or data-intensive software engineering, with strong exposure to US Healthcare data
- 5+ years building AI-enabled products with strengths in data pipelines, data modeling, analytics platforms, or MLOps
- Proven experience as a Senior Product Engineering Manager or Senior Data Engineering Manager, leading large data-focused teams and cross-functional programs
- Familiarity with cloud-native data architectures (AWS, Azure, GCP), distributed data processing, and modern data pipelines
- Working knowledge of SQL, Python, ETL frameworks, APIs, orchestration tools, and microservices (nice to have)
- Exposure to analytics/ML ecosystems such as Snowflake, Databricks, Spark, TensorFlow, PyTorch, MLflow
- Experience with GenAI, LLMs, vector databases, and agentic AI is a strong plus
- Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Analytics, or related fields
- Experience with Life Sciences datasets, regulatory models, or healthcare analytics workflows is highly valued