Work Schedule Standard (Mon-Fri) Environmental Conditions Office 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.