Senior Manager, Data Engineering
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How this pay compares to similar roles
This role pays less than 53% of similar roles. Most pay $152,025–$229,775 — the blue band above. At the midpoint, this role pays about $190k versus about $191k for comparable roles.
Based on 240 similar postings.
Employer
Thermo Fisher Scientific is the world leader in serving science, providing analytical instruments, equipment, reagents, consumables, software, and services for life sciences research, pharmaceutical manufacturing, and diagnostics. Industry: Life Sciences & Laboratory Equipment
Thermo Fisher currently has 14 open roles on FindRole.
Listed pay typically runs $107,500–$165,000 across 6 roles with salary data.
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At a glance
The Sr. Manager, Data Engineering & Applied Data Science leads a multidisciplinary team responsible for the strategy, design, and delivery of enterprise data products and AI solutions. This role involves transforming business challenges into scalable, production-ready data foundations and advanced analytics. Key responsibilities include leading the delivery of machine learning and Generative AI solutions, establishing engineering standards for DataOps, CI/CD, and automation, and ensuring data is governed and optimized for analytics. The successful candidate will utilize Python, R, and SQL alongside frameworks like TensorFlow, PyTorch, and scikit-learn. They must also leverage cloud platforms such as AWS, Azure, or GCP, and visualization tools like Tableau and Power BI to solve complex technical problems and drive digital transformation through data-driven insights.
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