Senior Manager Data Science And Analytics Engineering
Thermo Fisher Scientific
Raleigh, United States
On-site
Scalable data models
Analytics-ready data products
Python and sql expertise
Thermo Fisher Scientific is seeking a Senior Manager of Data Science and Analytics Engineering in Raleigh, NC, to lead the development of scalable data models and analytics strategies within their Finance Digital Team. The ideal candidate will have extensive experience in data engineering and analytics, with strong technical skills in Python and SQL, and a proven ability to manage cross-functional teams
Job Summary
This role sits at the intersection of data engineering, analytics, and finance, focused on building scalable data models and enabling advanced analytics.
You will lead the development of scalable, analytics-ready data products and partner with data scientists and analysts to shape how data is modeled and accessed.
Lead and develop a cross-functional team, evaluating and introducing new technologies to continuously improve team effectiveness.
Matching Summary
Match Score: 85
Thermo Fisher Scientific is seeking a Senior Manager of Data Science and Analytics Engineering in Raleigh, NC, to lead the development of scalable data models and analytics strategies within their Finance Digital Team. The ideal candidate will have extensive experience in data engineering and analytics, with strong technical skills in Python and SQL, and a proven ability to manage cross-functional teams.
Skills & Requirements
Must-have
Scalable data models
Analytics-ready data products
Python and SQL expertise
Databricks/Spark environments
Financial reporting and analytics
Nice-to-have
Modern data frameworks
AI/ML workflows
Agile delivery models
Key Requirements
8+ years in data engineering, analytics engineering, data science
2-5+ years leading technical teams
Experience with Databricks, Microsoft Fabric, or similar
Experience with semantic modeling or governed data layers