Engineering Projects Senior Manager

Amgen Technology; Hyderabad; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Amgen Technology is seeking an Engineering Projects Senior Manager Capital Equipment Analytics to lead the development of analytics for the equipment lifecycle across global capital projects. You will drive data-driven insights by integrating equipment data with cost, schedule, and ERP systems, enabling better forecasting and project alignment.

In this role, you will build scalable analytics, partner with project controls, procurement, and engineering teams, and promote standardization and

Qualifications

• Experience in digital procurement, supply-chain analytics, capital-equipment analytics, industrial technology, construction technology, enterprise software, or analytics product development.
• Knowledge of capital equipment procurement, equipment lifecycle management, demand planning, supplier performance, long-lead equipment, bid analysis, and delivery tracking.
• Experience with procurement, Source-to-Pay, purchase orders, supplier data, project schedules, cost systems, installation records, and equipment master data.

Responsibilities

• Lead development and delivery of equipment-focused analytics capabilities for global capital projects.
• Build and scale centralized analytics to improve visibility into equipment demand, timing, and spend.
• Integrate equipment data with cost, schedule, and enterprise systems to improve forecasting and decision-making.
• Drive standardization, data models, digital tools, and reporting solutions.
• Collaborate with project controls, procurement, and engineering teams to drive adoption of analytics capabilities.

Skills

Digital procurement

Supply-chain analytics

Capital-equipment analytics

Data engineering

AI/ML

UI/UX

Analytics product management

APIs & integrations

Cloud data platforms

Power BI

Tools

Databricks

SAP

SQL

Python

R

GitLab/GitHub

VS Code

React

Job description

ABOUT THE ROLE

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.

ROLES RESPONSIBILITIES

• Experience in digital procurement, supply-chain analytics, capital-equipment analytics, industrial technology, construction technology, enterprise software, or analytics product development.
• Knowledge of capital equipment procurement, equipment lifecycle management, demand planning, supplier performance, long-lead equipment, bid analysis, and delivery tracking.
• Experience with procurement, Source-to-Pay, purchase orders, supplier data, project schedules, cost systems, installation records, and equipment master data.
• Strong technical background in data engineering, databases, data structures, data modeling, data science, algorithms, APIs, system integrations, and cloud data platforms.
• Experience with analytics product management, data-product development, workflow automation, AI/ML, predictive analytics, and UI/UX.
• Exposure to technologies such as Databricks, SAP, n8n, SQL, Python, R, GitLab/GitHub, VS Code, Codex, React, Lovable, and related modern development tools.
• Familiarity with data governance, master data management, equipment taxonomies, data quality, data lineage, ETL/ELT, and data pipelines.
• Supply-chain analytics or digital-procurement-platform experience strongly preferred; comparable experience in another complex operational environment is acceptable.
• Capital-project or construction experience preferred.
• Pharmaceutical, biotechnology, or another regulated-industry background preferred.

PREFERRED/GOOD TO HAVE QUALIFICATIONS SKILLS

• 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