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.
