Manager Information Systems, Engineering
Amgen
Manager Information Systems, Engineering
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- 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 Amgen’s smart manufacturing vision.
- Identify emerging technologies and drive their integration into Amgen’s 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
- 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.
- Master’s 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.
Must-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).
- 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.
Good-to-Have Skills
- Good understanding of relevant data standards and industry trends.
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Familiarity with big data technologies, AI platforms, and cloud-based data solutions.intermediate
- Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams.intermediate
- Passion for technology and customer success, particularly in driving innovative AI and data solutions.intermediate
- Experience working with teams of data scientists, software engineers and business experts to drive insights.intermediate
- Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway.intermediate
- Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc).intermediate
- Good understanding of relevant data standards and industry trends.intermediate
- Excellent analytical and fix skills.intermediate
- Ability to work effectively with global, virtual teams.intermediate
- High degree of initiative and self-motivation.intermediate
- Ability to manage multiple priorities successfully.intermediate
- Team-oriented, with a focus on achieving team goals.intermediate
Required Qualifications
- Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years of Information Systems, Engineering, or a related rigor. (experience)
- 8+ years of relevant experience in IT or engineering systems, including enterprise platforms in a regulated industry. (experience)
- Demonstrable experience managing enterprise applications such as SAP EAM, Planisware, or metrology software. (experience)
- Knowledge of engineering operations, capital project lifecycle, and asset management standard processes. (experience)
- Master’s degree in engineering, Information Systems, or Business. (experience)
- Experience with cloud-based platforms (AWS), APIs, and integration middleware (e.g., Mulesoft). (experience)
- Familiarity with building information modeling (BIM), digital twin architecture, or Smart Factory frameworks. (experience)
- PMP, Six Sigma, or ITIL certifications. (experience)
- Good communication, influencing, and multi-functional leadership skills. (experience)
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 Amgen’s smart manufacturing vision.
- Identify emerging technologies and drive their integration into Amgen’s 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.
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Tags & Categories
Manager Information Systems, Engineering
Amgen
Manager Information Systems, Engineering
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- 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 Amgen’s smart manufacturing vision.
- Identify emerging technologies and drive their integration into Amgen’s 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
- 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.
- Master’s 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.
Must-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).
- 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.
Good-to-Have Skills
- Good understanding of relevant data standards and industry trends.
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Familiarity with big data technologies, AI platforms, and cloud-based data solutions.intermediate
- Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams.intermediate
- Passion for technology and customer success, particularly in driving innovative AI and data solutions.intermediate
- Experience working with teams of data scientists, software engineers and business experts to drive insights.intermediate
- Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway.intermediate
- Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc).intermediate
- Good understanding of relevant data standards and industry trends.intermediate
- Excellent analytical and fix skills.intermediate
- Ability to work effectively with global, virtual teams.intermediate
- High degree of initiative and self-motivation.intermediate
- Ability to manage multiple priorities successfully.intermediate
- Team-oriented, with a focus on achieving team goals.intermediate
Required Qualifications
- Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years of Information Systems, Engineering, or a related rigor. (experience)
- 8+ years of relevant experience in IT or engineering systems, including enterprise platforms in a regulated industry. (experience)
- Demonstrable experience managing enterprise applications such as SAP EAM, Planisware, or metrology software. (experience)
- Knowledge of engineering operations, capital project lifecycle, and asset management standard processes. (experience)
- Master’s degree in engineering, Information Systems, or Business. (experience)
- Experience with cloud-based platforms (AWS), APIs, and integration middleware (e.g., Mulesoft). (experience)
- Familiarity with building information modeling (BIM), digital twin architecture, or Smart Factory frameworks. (experience)
- PMP, Six Sigma, or ITIL certifications. (experience)
- Good communication, influencing, and multi-functional leadership skills. (experience)
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 Amgen’s smart manufacturing vision.
- Identify emerging technologies and drive their integration into Amgen’s 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.
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Tags & Categories