Thermo Fisher Scientific is a leader in clinical research, leveraging digital innovation, data science, and AI to enhance drug development. They are seeking a Senior Manager to lead a new team focused on troubleshooting and operational stability across digital data and integration platforms.
Responsibilities:
- Lead and manage a run the engine development support team responsible for resolving complex production issues across data, integration, and platform technologies
- Provide hands-on technical leadership in SQL, Python, Snowflake, Databricks, Talend, and API/integration platforms
- Ensure all code changes, fixes, and enhancements comply with established SDLC, SOP, validation, and change control processes
- Drive root cause analysis and ensure issues are thoroughly researched, documented, and permanently resolved
- Enforce coding standards, code review processes, and development best practices across the team
- Partner closely with platform, operations, QA/compliance, and business teams to support stable and compliant production operations
- Oversee prioritization and execution of production support activities, ensuring timely resolution of high-priority issues
- Implement operational controls, monitoring, and governance processes to reduce recurrence of issues
- Build and mature the run the engine development function, including team structure, processes, documentation, and operational KPIs
- Mentor and develop team members while fostering accountability, technical excellence, and continuous improvement
Requirements:
- Bachelor's degree in computer science, Engineering, Information Systems, or related field or equivalent and relevant formal academic / vocational qualification
- Previous experience in software development, data engineering, integration development, or production support roles that provides the knowledge, skills, and abilities to perform the job (comparable to 8-10 years' experience)
- 5+ years of leadership experience managing technical development or support teams
- Technical expertise in SQL
- Technical expertise in Python
- Technical expertise in Snowflake
- Technical expertise in Databricks
- Technical expertise in Talend
- Technical expertise in API and middleware platforms such as Oracle SOA and/or MuleSoft
- Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner
- Able to work upright and stationary for typical working hours
- Ability to use and learn standard office equipment and technology with proficiency
- Able to perform successfully under pressure while prioritizing and handling multiple projects or activities
- Must be legally authorized to work in the United States without sponsorship
- Must be able to pass a comprehensive background check, which includes a drug screening
- Experience supporting clinical, pharmaceutical, or regulated GxP environments
- Experience with Computer System Validation (CSV)
- Familiarity with CI/CD pipelines, monitoring frameworks, and operational automation
- Experience building or transforming production support organizations
- Knowledge of cloud-based enterprise data platforms and modern integration architectures