Director, Risk Intelligence and Analytics

What You’ll Do
- Translate complex technical and regulatory topics into clear executive briefings, highlighting operational implications, risks, opportunities, and required actions.
- Develop and maintain a forward-looking risk intelligence landscape scanning process for biopharmaceutical manufacturing, process technology, engineering, GMP expectations, and supply chain resilience; convert insights into decision-ready recommendations.
- Lead quantitative and qualitative analyses (trend, scenario, sensitivity, benchmarking) to assess risk and inform network strategy, capacity planning, and manufacturing investments.
- Build and govern dashboards integrating manufacturing performance, quality, deviations/CAPA, supply, and engineering reliability; ensure data quality, definitions, and traceability.
- Monitor emerging manufacturing technologies/practices (e.g., digital manufacturing, automation, advanced analytics, continuous manufacturing where applicable) and assess readiness, value, and adoption pathways.
- Partner with stakeholders to define key questions, prioritize analyses, and align on interpretations and decisions.
- Develop and deliver executive materials for PO&T leadership (executive summaries, quarterly landscape reports, rapid-response briefs).
- Provide analytics and decision support for strategy reviews, business cases, and investment governance (ROI/NPV/IRR, total cost modeling, trade-off analyses).
- Establish analytical rigor standards and lead peer review of analyses and narratives.
- Facilitate cross-functional workshops to convert insights into plans, owners, and timelines.
- Continuously improve intelligence/analytics processes (data acquisition, automation, taxonomy, reusable templates).

Required Skills/Qualifications
- Bachelor’s degree and 12+ years in biopharmaceutical technical operations (manufacturing, CMC, manufacturing sciences/quality, engineering, supply chain, regulatory, or operational excellence), including significant analytics experience.
- Deep understanding of GMP manufacturing operations (batch records, deviations, CAPA, change control, validation) and generated data.
- Strong knowledge of manufacturing engineering concepts/standards (automation, utilities, maintenance/reliability, process equipment, EHS-by-design).
- Strong knowledge of end-to-end supply chain principles and external manufacturing ecosystems (e.g., CMOs), regulatory expectations, and best practices.
- Ability to synthesize external signals into actionable internal guidance.
- Proven ability to design and execute analytics strategies (data sourcing, governance, KPI definitions, dashboarding, advanced analysis).

Benefits (explicitly listed)
- Medical, dental, vision, and life insurances; fitness/wellness reimbursement; short- and long-term disability.
- 15+ days paid vacation plus end-of-year shutdown (Dec 26–Dec 31); up to 12 paid holidays + 3 personal days; sick time; paid maternity/parental leave.
- 401(k) with company match; employee stock purchase plan; tuition reimbursement (up to $10,000/year); Employee Resource Groups participation.