Engineering Analytics & Bid Review
Career Category
EngineeringJob 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
Experience in the global pharmaceutical industry preferred.
Functional Skills
Project controls and analytics experience in a capital project, engineering, procurement, or estimating environment.
Support bid review, cost comparison, benchmarking, forecasting, reporting, or supplier proposal analysis.
Ability to review capital equipment bids and interpret cost, scope, schedule, assumptions, exclusions, delivery risks, and comparison points.
Experience with digital tools for reporting and analytics such as Power BI, advanced Excel, SAP, procurement / sourcing systems, data structuring, or similar platforms.
Understanding of data integrity, process compliance, documentation discipline, and audit readiness in project controls, analytics, or procurement-related workflows.
Understanding of capital project cost, schedule, procurement, and supplier delivery information.
Ability to partner effectively with Engineering, Project Controls, Procurement, Finance, and project teams.
Good-to-Have Skills:
Experience supporting capital projects in pharmaceutical, biotechnology, life sciences, advanced manufacturing, or other regulated industries.
Experience working with capital equipment, supplier bids, procurement data, or equipment lifecycle information.
Familiarity with AI-enabled productivity and analytics tools such as ChatGPT, Codex, VS Code extensions, or similar tools.
Experience developing bid review templates, reporting standards, data models, or analytical tools.
Familiarity with automation, advanced analytics, data quality improvement, or scalable reporting practices.
Professional Certifications:
Relevant certification in project management, project controls, cost management, analytics, engineering, or a related discipline
Soft Skills:
Analytical thinking and attention to detail.
Communication and presentation skills.
Problem-solving mindset, and willingness to adopt new tools and ways of working.
Ability deliver high-quality work under timelines.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Work Hours
Work hours and shift requirements may vary based on business needs. Flexibility to work across different shifts may be required.
.