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The Engineering Projects Senior Manager – Capital Equipment Analytics leads the development and delivery of equipment-focused analytics capabilities supporting global capital projects. This role is responsible for building and scaling centralized analytics capability within AIN, delivering data-driven insights across the full equipment lifecycle - from demand forecasting and procurement through delivery, installation, and reporting.
The role is accountable for leading a high-performing team and ensuring consistent, high-quality analytics that improve visibility into equipment demand, timing, and spend. By integrating equipment data with cost, schedule, and enterprise systems (e.g., SAP), this role enables more accurate forecasting, stronger alignment to project plans, and improved decision-making across project teams.
With a strong focus on standardization and scalability, this role drives the development of data models, digital tools, and reporting solutions that enhance predictability, reduce risk, and improve delivery timelines. As part of the AIN Project Controls organization, this role partners closely with global project controls, procurement, and engineering teams to drive adoption and continuous improvement of equipment analytics capabilities.
The Engineering Projects Senior Manager – Capital Equipment Analytics leads the development and delivery of equipment-focused analytics capabilities supporting global capital projects. This role is responsible for building and scaling centralized analytics capability within AIN, delivering data-driven insights across the full equipment lifecycle - from demand forecasting and procurement through delivery, installation, and reporting.
The role is accountable for leading a high-performing team and ensuring consistent, high-quality analytics that improve visibility into equipment demand, timing, and spend. By integrating equipment data with cost, schedule, and enterprise systems (e.g., SAP), this role enables more accurate forecasting, stronger alignment to project plans, and improved decision-making across project teams.
With a strong focus on standardization and scalability, this role drives the development of data models, digital tools, and reporting solutions that enhance predictability, reduce risk, and improve delivery timelines. As part of the AIN Project Controls organization, this role partners closely with global project controls, procurement, and engineering teams to drive adoption and continuous improvement of equipment analytics capabilities.
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