Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
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
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Define and execute the enterprise analytics strategy, roadmap, and investment priorities.
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Play a pivotal role in the modernization of Thermofisher Digital Analytics; roadmap migration to AI supported insights
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Build scalable analytics and reporting capabilities that support customer, commercial, and operational objectives.
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Establish a trusted, enterprise-wide data foundation that enables consistent reporting and decision-making.
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Partner with business stakeholders to identify opportunities, solve complex problems, and deliver sustainable analytics solutions.
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Generate actionable insights through analytics, experimentation, KPI reporting, and performance measurement.
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Lead the design, implementation, and continuous improvement of cloud-based analytics platforms, data infrastructure, and data pipelines.
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Establish standards for data architecture, governance, security, and analytics engineering.
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Collaborate with product, architecture, and security teams to define requirements and prioritize initiatives.
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Build, lead, and develop a high-performing global analytics organization of approximately 3 to 5 associates.
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Foster a culture of innovation, continuous improvement, and data-driven decision-making.
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Lead cross-functional analytics and data transformation programs while balancing competing business priorities.
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Communicate analytics strategies, recommendations, and outcomes to executive leadership and key stakeholders.
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Manage relationships with external vendors, consultants, and technology partners.
QUALIFICATIONS (Education/Training, Experience and Certifications)
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Bachelor's degree in Computer Science, Engineering, Information Systems, Business Analytics, or a related field; Master's degree preferred.
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8+ years of experience in analytics, business intelligence, data engineering, data science, or related disciplines.
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3+ years of leadership experience managing analytics, data engineering, or data science teams.
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Proven success building and leading high-performing analytics organizations and enterprise-scale platforms.
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Experience architecting, implementing, and supporting modern analytics infrastructure and cloud-based data solutions.
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Expertise with analytics and visualization tools such as Tableau, Power BI, Google Analytics, or Adobe Analytics.
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Experience with data warehouse technologies such as Snowflake, Teradata, Hadoop, or similar platforms.
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Strong SQL skills and experience with Python, ETL/ELT development, and modern data integration practices.
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Familiarity with AWS, Azure, or Google Cloud Platform; SAP and ERP integration experience preferred.
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Experience developing AI-enabled analytics solutions, including agentic and conversational interfaces that improve access to data, insights, and decision-making across the enterprise preferred.
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Knowledge of advanced analytics, machine learning, and predictive modeling preferred.
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Strong communication, stakeholder management, problem-solving, and organizational leadership skills.
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Ability to influence decision-making, manage competing priorities, and thrive in a fast-paced environment.
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Up to 25% travel may be required.
