Director, Operations Network Strategy – PO&T Intelligence

Responsibilities

• 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.

• 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 manufacturing engineering concepts and standards (e.g., automation, utilities, maintenance/reliability, process equipment, EHS‑by‑design) and how engineering choices impact compliance and performance.
• Proven ability to design and execute analytics strategies (data sourcing, governance, KPI definitions, dashboarding, advanced analysis) in complex, regulated manufacturing environments.
• Experience with external manufacturing ecosystems (e.g., CMOs), regulatory expectations, and industry best practices; ability to synthesize external signals into actionable internal guidance.