Manager Information Systems, Engineering

Roles & Responsibilities

• Serve as the IS lead and trusted advisor for Global Engineering and Facilities teams.
• Develop and implement the digital roadmap for engineering systems, aligned with Amgens smart manufacturing vision.
• Identify emerging technologies and drive their integration into Amgens operations (e.g., digital twins, IoT sensors, data lakes, AI/ML).
• Oversee the end-to-end lifecycle of SAP EAM, Planisware, Metrology Systems, Chemical Inventory platforms, and BIM 360.
• Manage system upgrades, integrations, vendor coordination, and end-user adoption strategies.
• Ensure seamless interoperability between engineering systems and enterprise platforms (e.g., ERP, MES, QMS).
• Guide the evaluation, adoption, and lifecycle of emerging technologies (e.g., Databricks, data lakes, data fabrics, AI/ML, containerization, real-time streaming analytics) to enhance analytics capabilities for advanced manufacturing use cases.
• Champion the development of advanced analytics capabilities, including predictive maintenance, process optimization, and quality analytics using data science, software engineering, and AI/ML tools.
• Serve as a steering member and critical issue point for major data platform projects, system incidents, and strategic vendor relationships.
• Develop and manage COE resource plans, budgets, and external partnerships to ensure organizational objectives are met.
• Foster a culture of innovation, multi-functional knowledge sharing, and continuous improvement throughout the COE and the global manufacturing analytics community.
• Oversee comprehensive documentation, knowledge management, and training programs to support global adoption and sustainable value of data platforms and analytics solutions.
• Champion change management strategies to embed data-driven thinking and analytics adoption at all organizational levels.
• Represent Amgen Engineering Systems Data strategy and practices to senior leadership, regulatory agencies, and external technology partners as required.
• Enable Engineering analytics, visualization, and insights by integrating structured and unstructured data sources.
• Champion the adoption of digital platforms to improve equipment lifecycle management, preventive maintenance, and asset performance.

What we expect of you

Basic Qualifications

• Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years of Information Systems, Engineering, or a related rigor.
• 8+ years of relevant experience in IT or engineering systems, including enterprise platforms in a regulated industry.
• Demonstrable experience managing enterprise applications such as SAP EAM, Planisware, or metrology software.
• Knowledge of engineering operations, capital project lifecycle, and asset management standard processes.

Preferred Qualifications

• Masters degree in engineering, Information Systems, or Business.
• Experience with cloud-based platforms (AWS), APIs, and integration middleware (e.g., Mulesoft).
• Familiarity with building information modeling (BIM), digital twin architecture, or Smart Factory frameworks.
• PMP, Six Sigma, or ITIL certifications.
• Good communication, influencing, and multi-functional leadership skills.

Good-to-Have Skills:

• Familiarity with big data technologies, AI platforms, and cloud-based data solutions.
• Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams.
• Passion for technology and customer success, particularly in driving innovative AI and data solutions.
• Experience working with teams of data scientists, software engineers and business experts to drive insights
• Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway.
• Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc)
• Good understanding of relevant data standards and industry trends

Soft Skills:

• Excellent analytical and fix skills.
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals