Sr Manager, Analytics & Insights

Thermo Fisher Scientific · Pittsburgh, Pennsylvania, USA

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

  • 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. 

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