Software Engineer
Work Schedule Environmental Conditions Job Description When you’re a part of the team at Thermo Fisher Scientific, you’ll do impactful work.
Work Schedule
Environmental Conditions
Job Description
When you’re a part of the team at Thermo Fisher Scientific, you’ll do impactful work. In this role, you will design and support scalable, data analytical solutions in our Business Operations team as we modernize and evolve our digital supply chain initiatives in the Life Sciences Group. This role will be responsible for designing and leading AI transformation projects that unlock business value and creating models and tools that can quickly scale across the group, while managing an elite team of data engineers and analysts.
The ideal candidate for this transformative role will have strong communications and analytical skills, a deep understanding of supply chain optimization, and proficiency with data analysis tools and methodologies. This is a great opportunity to contribute to the growth of a dynamic organization and make a tangible impact on our operational success.
What will you do?
Lead and scale digital transformation and AI initiatives, from ideation to implementation, that align both predictive analytics and machine learning with business needs.
Own and drive the end-to-end data and analytics roadmap—partnering with executives to align priorities to business objectives and leading teams through disciplined execution and delivery
Re-imagine, modernize, and scale the data solutions architecture and reporting suite for faster, more reliable access to insights and efficiency
Manage and mentor a global team of data engineers, data partners, and data analysts and collaborate to ensure successful project delivery
Lead a monthly Technology Governance Board to ensure that data analytics projects align to strategy, achieve intake goals, and are not redundant
Provide hands-on technical support and troubleshooting of data solutions, including investigation of data issues, validation, and load balancing.
Set standards and best practices for analytics and visualization platforms (including Power BI), ensuring scalable, well-governed, and business-ready insights
Define analytics engineering direction in alignment with IT platform choices, enabling modern tools such as Databricks, Git-based development, and scalable cloud-native analytics architecture
Keep abreast of industry trends and best practices in supply chain and operations analytics
How will you get here?
Education
Bachelor’s or Advanced Degree in Computer Science, Computer Engineering, Mathematics, or related field preferred.
Experience
8+ years technical engineering experience with top industry tools such as SQL, Python, Data Bricks, GitHub, etc.
4+ years of management experience leading analytics teams.
4+ years of experience with data engineering, business intelligence (visualization/dashboard/reporting), data science, data analysis, business analysis
Posted July 25, 2026