Work Schedule

Environmental Conditions

Job Description

At Thermo Fisher Scientific, our mission is to enable our customers to make the world healthier, cleaner, and safer. We are seeking a Senior Manager, Analytics & Insights to lead the strategy, development, and operation of our enterprise analytics capabilities. 
 

This role will drive the analytics roadmap, deliver scalable data and reporting solutions, and advance a data-driven culture across the organization. The Senior Manager will partner closely with business and technology leaders while leading a global team of analytics professionals, data scientists, architects, and engineers to improve commercial performance, customer experience, supply chain operations, and strategic decision-making. 
 

MAJOR JOB DUTIES AND RESPONSIBILITIES

• Define and execute the enterprise analytics strategy, roadmap, and investment priorities. 
• Play a pivotal role in the modernization of Thermofisher Digital Analytics; roadmap migration to AI supported insights 
• Build scalable analytics and reporting capabilities that support customer, commercial, and operational objectives. 
• Establish a trusted, enterprise-wide data foundation that enables consistent reporting and decision-making. 
• Partner with business stakeholders to identify opportunities, solve complex problems, and deliver sustainable analytics solutions. 
• Generate actionable insights through analytics, experimentation, KPI reporting, and performance measurement. 
• Lead the design, implementation, and continuous improvement of cloud-based analytics platforms, data infrastructure, and data pipelines. 
• Establish standards for data architecture, governance, security, and analytics engineering. 
• Collaborate with product, architecture, and security teams to define requirements and prioritize initiatives. 
• Build, lead, and develop a high-performing global analytics organization of approximately 3 to 5 associates. 
• Foster a culture of innovation, continuous improvement, and data-driven decision-making. 
• Lead cross-functional analytics and data transformation programs while balancing competing business priorities. 
• Communicate analytics strategies, recommendations, and outcomes to executive leadership and key stakeholders. 
• Manage relationships with external vendors, consultants, and technology partners. 

QUALIFICATIONS (Education/Training, Experience and Certifications) 

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business Analytics, or a related field; Master's degree preferred. 
• 8+ years of experience in analytics, business intelligence, data engineering, data science, or related disciplines. 
• 3+ years of leadership experience managing analytics, data engineering, or data science teams. 
• Proven success building and leading high-performing analytics organizations and enterprise-scale platforms. 
• Experience architecting, implementing, and supporting modern analytics infrastructure and cloud-based data solutions. 
• Expertise with analytics and visualization tools such as Tableau, Power BI, Google Analytics, or Adobe Analytics. 
• Experience with data warehouse technologies such as Snowflake, Teradata, Hadoop, or similar platforms. 
• Strong SQL skills and experience with Python, ETL/ELT development, and modern data integration practices. 
• Familiarity with AWS, Azure, or Google Cloud Platform; SAP and ERP integration experience preferred. 
• Experience developing AI-enabled analytics solutions, including agentic and conversational interfaces that improve access to data, insights, and decision-making across the enterprise preferred. 
• Knowledge of advanced analytics, machine learning, and predictive modeling preferred. 
• Strong communication, stakeholder management, problem-solving, and organizational leadership skills. 
• Ability to influence decision-making, manage competing priorities, and thrive in a fast-paced environment. 
• Up to 25% travel may be required.