Engineering Projects Senior Manager
Amgen View all jobs
- Hyderabad, Telangana
- Permanent
- Full-time
- Lead and organize one source of truth for equipment to serve as basis for optimizing equipment delivery and vendor outcome
- Look ahead for demand planning and supplier engagement
- Lead and scale the Capital Equipment Analytics function within AIN, delivering forecasting, tracking, and analytics services across global capital projects
- Cross functional partnership across the Engineering organization including ETA, GCPM, EHS, and GSS and FInance
- Develop and manage a team responsible for equipment demand forecasting, spend analysis, and lifecycle tracking (order → delivery → installation)
- Establish standardized data models, taxonomies, and processes for equipment analytics to ensure consistency and scalability
- Drive integration of equipment data with cost management, scheduling, and enterprise systems (e.g., SAP)
- Deliver dashboards and reporting solutions (e.g., Power BI) that provide clear visibility into equipment spend, status, and risks
- Improve forecast accuracy, cost visibility, and decision-making through structured analytics and insights for proactive risk management and optimized delivery
- Identify and implement opportunities for automation, digital tools, and advanced analytics to enhance efficiency and reduce manual effort
- Drive adoption of analytics solutions across stakeholders by demonstrating value and ensuring usability
- Documented experience understanding equipment delivery across projects
- Strong experience with data analytics tools and systems, including Power BI and SAP
- Experience working with capital equipment, procurement, or supply chain data in a project environment
- Experience supporting capital projects in the pharmaceutical or biotechnology industry
- Strong understanding of equipment lifecycle processes, procurement workflows, and capital project delivery
- Experience integrating data across cost, schedule, and procurement systems
- Experience building data models, dashboards, and scalable analytics solutions
- Familiarity with automation, data engineering concepts, or advanced analytics techniques
- Demonstrated ability to drive standardization, process improvement, and adoption of analytics solutions
- Strong stakeholder management and communication skills across global teams