Engineering Analytics & Bid Review

Career Category Engineering Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE The Project Controls, Engineering Analytics & Bid Review will be based in AIN and will be part of the Project Controls organization within Amgen Engineering. This role will report to the Senior Manager – Capital Equipment Analytics and will support capital equipment analytics and bid review activities across global capital projects. This role will combine project controls, analytics, reporting, and capital equipment bid review experience to improve cost visibility, supplier comparison, equipment demand insights, and decision support. The Project Controls Analytics role will help structure bid information, analyse supplier proposals, support benchmarking, and develop analytics outputs that improve project planning, equipment delivery visibility, and risk identification. The role will also support compliance to established project controls, procurement, and reporting processes by maintaining reliable data, clear analytical assumptions, and audit-ready supporting documentation. Roles & Responsibilities: Support capital equipment bid review, including cost comparison, schedule / lead-time review, scope completeness, assumptions, exclusions, and risk indicators. Support benchmarking by comparing current bids against historical project and equipment data to identify cost trends, variance drivers, supplier differences, and forecasting inputs. Support reporting, analytics, and decision-support tools that improve visibility into equipment demand, spend, bid comparisons, supplier risks, delivery milestones, and lifecycle status. Support the equipment data foundation by collecting, validating, and maintaining bid, supplier, cost, demand, schedule, delivery, and lifecycle data. Maintain audit-ready analysis files, data records, assumptions, and supporting documentation in alignment with established project controls and procurement processes. Use digital, automation, and AI-enabled tools to improve analysis quality, reporting efficiency, data review, and insight generation. Partner with Project Controls, Engineering, Procurement, Finance, and project teams to gather inputs, validate assumptions, and align analytical outputs. Support bid review templates, reporting standards, analytics methods, and data quality practices. Basic Qualifications and Experience: Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Engineering or equivalent). 5–9 years of work experience in Information Technology, Information Systems, or a related field