Director, Operations Network Strategy and Business Insights

About This Role

The Director, Network Strategy and Business Insights is responsible for delivering strategic, data-driven insight that strengthens Biogen’s global biopharmaceutical manufacturing and supply network. This role systematically monitors and interprets external and internal signals across GMP/CMC, manufacturing science & technology, engineering standards, quality systems, EHS, supply chain, and advanced manufacturing to enable proactive decision-making, risk management, and long-range network strategy.

• Develop and maintain a forward-looking intelligence agenda spanning biopharmaceutical manufacturing, process technology, engineering, GMP expectations, and supply chain resilience; convert insights into decision-ready recommendations for senior leaders.
• Lead quantitative and qualitative analyses (trend, scenario, sensitivity, benchmarking) to inform network strategy, capacity planning, and manufacturing investment decisions.
• Build and govern a portfolio of analytics products and dashboards that integrate data across manufacturing performance, quality, deviations/CAPA, supply, and engineering reliability, ensuring data quality, definitions, and traceability.
• Translate complex technical and regulatory topics into clear executive briefings, highlighting operational implications, risks, opportunities, and required actions.
• Monitor emerging manufacturing technologies and practices (e.g., digital manufacturing, automation, advanced analytics, continuous manufacturing where applicable) and assess readiness, value, and adoption pathways for Biogen sites and partners.
• Partner with Manufacturing, Engineering, Quality, CMC, Supply Chain, and Regulatory Affairs to define key questions, prioritize analyses, and align on interpretations and decisions.
• Develop and deliver high-impact materials for PO&T leadership (executive summaries, quarterly landscape reports, and rapid-response briefs) and present findings to senior audiences.
• Provide analytics and decision support for strategy reviews, business cases, and investment governance (e.g., ROI/NPV/IRR, total cost modeling, and trade-off analyses) for manufacturing and engineering initiatives.
• Establish standards for analytical rigor (methods, assumptions, documentation) and lead peer review of analyses and narratives to ensure accuracy and consistency.
• Build credibility as a manufacturing and engineering subject-matter resource, maintaining awareness of regulatory expectations and industry best practices.
• Drive cross-functional alignment by facilitating structured discussions and workshops that convert insights into plans, owners, and timelines.
• Continuously improve intelligence and analytics processes (data acquisition, automation, taxonomy, and reusable templates) to increase speed, repeatability, and impact.
• Mentor and develop analysts by coaching on problem framing, statistical/analytical methods, and executive storytelling; coordinate work in a matrixed environment.

You are a visionary with a strong analytical mind, capable of making data-driven decisions that resonate across the organization. You possess a deep understanding of manufacturing dynamics within the biotech or pharmaceutical industry and thrive in a role that demands strategic thought leadership. Your communication skills are impeccable, allowing you to distill complex concepts into clear, actionable plans. You have high learning agility, comfortable with ambiguity, and adept at facilitating groups with diverse perspectives.

In essence, you are a continuous learner, always looking for opportunities to innovate and improve, and are driven by the impact you can make beyond your immediate scope.

• Bachelor’s degree and at least 12 years of relevant experience in biopharmaceutical manufacturing, CMC, MS&T, quality, engineering, supply chain, or operational excellence, including significant experience translating data into executive decisions.
• Deep understanding of GMP manufacturing operations (e.g., batch record execution, deviations, CAPA, change control, validation) and the data generated across shop floor, quality, and supply processes.
• Strong knowledge of…