Director, Business Intelligence and Strategy; REMOTE

Location:

Wilmington, MA 01887

For 75 years, Charles River employees have worked together to assist in the discovery, development and safe manufacture of new drug therapies. When you join our family, you will have a significant impact on the health and well‑being of people across the globe. Whether your background is in life sciences, finance, IT, sales or another area, your skills will play an important role in the work we perform.

In return, we’ll help you build a career that you can feel passionate about.

Charles River Laboratories is seeking a Director of Business Intelligence to lead the development and execution of our global market, competitor, and customer insights strategy. This leader will serve as a trusted advisor to senior executives and business units by transforming data into actionable intelligence that guides decision‑making, shapes strategy, and accelerates growth. The Director will oversee a team of analysts and data professionals, build best‑in‑class BI capabilities, and ensure that insights directly inform commercial, operational, and investment strategies.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Define and lead the global business intelligence function and strategy, ensuring alignment with Charles River’s strategic priorities.
• Partner with executive leadership, business units, strategic marketing, global technology, and other functional teams to translate data‑driven insights into clear business strategies and initiatives.
• Build and manage a high‑performing team of BI analysts, fostering a culture of curiosity, rigor, and customer‑centricity.
• Direct comprehensive analysis of the global life science research, biotech, and pharmaceutical markets, including growth trends, emerging technologies, and therapeutic pipelines.
• Provide forward‑looking insights into market opportunities, risks, and unmet customer needs.
• Develop market models and forecasting tools to support strategic planning and investments.
• Establish a robust competitor monitoring program, covering key players by business unit and geo, new entrants, M&A activity, pricing strategies, and service/product innovations.
• Synthesize competitor data into concise, actionable intelligence for executives and commercial teams.
• Support scenario planning and “war gaming” exercises to anticipate competitor moves and guide proactive strategy.
• Lead advanced analysis of customer data, including segmentation, behavior, satisfaction, and share of wallet.
• Partner with commercial teams to identify growth opportunities, improve customer retention, and guide go‑to‑market strategies.
• Ensure customer voice and feedback are integrated into business and service/product decisions.

• Oversee the design and deployment of BI tools, dashboards, and reporting systems, in partnership with Global Technology, to make insights accessible across the organization.
• Champion the use of advanced analytics, data visualization, and predictive modeling to improve strategic foresight.
• Drive data governance, quality, and integration across multiple internal and external data sources.

• Bachelor’s degree in Business, Economics, Data Analytics, or Life Sciences required; MBA or advanced degree preferred.
• 10+ years of progressive experience in business intelligence, market research, consulting, or corporate strategy, ideally within life sciences, healthcare, or related industries.
• Proven track record leading BI or insights teams with direct impact on corporate strategy and growth.
• Exceptional analytical, critical thinking, and problem‑solving skills with the ability to synthesize complex data into executive‑ready insights.
• Strong leadership and people management experience, with the ability to inspire and develop talent.
• Excellent communication and presentation skills; adept at influencing senior executives and cross‑functional stakeholders.
• Deep understanding of life sciences/biopharma market dynamics, customer decision drivers, and competitive landscape.
• Proficiency with BI platforms (Power BI, Tableau, Qlik, etc.), advanced Excel, and statistical/analytics tools (e.g., Python, R, SAS, SQL).