If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.
Sr Mgr Information Systems
Live
What you will do
We are developing Manufacturing and Engineering AI solutions that help employees gain insights, access knowledge, and make decisions more efficiently. The Sr. Manager, Information Systems will lead the team responsible for delivering these capabilities, serving as the strategic and operational counterpart to the Principal Software Engineer.
This role owns product and delivery leadership for the team, translating business needs into clear priorities, roadmap direction, and executable requirements. You will manage the development team directly, drive cross-functional alignment, and ensure delivery is aligned to business outcomes, user needs, compliance expectations, and platform strategy.
This position requires strong familiarity with manufacturing technology environments and the modern data and AI stack that supports them. You will help guide solutions that integrate with manufacturing systems, industrial data sources, and enterprise AI platforms to enable chatbots, agents, workflow automation, and decision support across manufacturing and engineering functions.
What you will lead
Win
What we expect of you
- Serve as the product and delivery lead for the team, shaping strategy, priorities, and execution plans for AI-enabled manufacturing and engineering solutions.
- Translate manufacturing, operational, and business requirements into actionable product direction, delivery milestones, and team backlogs.
- Manage and develop the engineering team directly, including performance management, coaching, career development, and organizational health.
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- Partner closely with the Principal Software Engineer to align product direction with architecture, platform design, and technical standards.
- Drive cross-functional alignment across manufacturing, engineering, product, security, compliance, operations, and enterprise technology stakeholders.
- Define and maintain the team roadmap, ensuring work is sequenced effectively and tied to measurable business outcomes.
- Lead requirements discovery, solution scoping, release planning, and stakeholder communications.
- Balance demand, capacity, and priorities across multiple initiatives, ensuring the team delivers predictably and sustainably.
- Champion adoption of the team’s solutions by ensuring they are usable, supportable, and aligned to real manufacturing and engineering workflows.
- Oversee operating rhythms such as planning, status reporting, risk management, dependency management, and governance reviews.
- Support production readiness and escalation management, ensuring the team can respond effectively to issues and maintain trust in delivered solutions.
- Contribute to standards for documentation, process, lifecycle management, and service ownership for AI products and platform capabilities.
- Ensure delivery practices support security, quality, compliance, auditability, and operational resilience in a regulated manufacturing environment.
Manufacturing technology and platform experience
The ideal candidate will bring hands-on familiarity with manufacturing systems and the technology stack commonly used to support data-driven operations and AI applications. Experience in one or more of the following areas is strongly preferred:
- Manufacturing systems and industrial data sources such as SCADA, Data Historian, MES, ERP, and LIMS.
- Cloud and data platforms including AWS, Databricks, Apache Spark, PySpark, Scala, Python, and SQL.
- Real-time and event-driven integration using Apache Kafka, Debezium, or similar streaming technologies.
- GenAI and MLOps capabilities such as MLflow, model serving, experiment tracking, prompt management, deployment automation, and governance.
- AI application frameworks and orchestration tools such as LangChain, LangGraph, LlamaIndex, DSPy, Amazon Bedrock, and OpenAI APIs.
- Knowledge retrieval patterns including RAG, embeddings, vector databases, knowledge graphs, and metadata-driven search.
- Production engineering practices including APIs, microservices, CI/CD, DevOps, monitoring, and observability.
- Agile/SAFe delivery using JIRA, Confluence, and standard engineering collaboration tools.
Basic Qualifications
- Master's / Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
- 13 to 17 years of experience in information systems, software delivery, product delivery, or technical program leadership.
- 5+ years of experience leading teams, including direct management of engineers or technical professionals.
- Demonstrated experience translating business needs into technology roadmaps, requirements, and execution plans.
- Experience leading cross-functional initiatives involving engineering, product, operations, security, compliance, and business stakeholders.
- Strong understanding of software delivery processes, SDLC, release management, and production support.
- Experience managing priorities, dependencies, and tradeoffs across multiple concurrent initiatives.
- Excellent communication and stakeholder management skills, with the ability to influence at multiple organizational levels.
- Familiarity with cloud-based platforms, enterprise integrations, and modern software development practices.
- Experience operating in a regulated or highly governed environment.
Preferred Qualifications
- Experience leading product-oriented engineering teams supporting AI, automation, digital workplace, or enterprise platform solutions.
- Familiarity with agentic AI, conversational systems, workflow orchestration, or knowledge management platforms.
- Experience partnering with technical architects or principal engineers on platform strategy and solution design.
- Familiarity with cloud data and AI ecosystems including Databricks, Spark, MLflow, and AWS-native services.
- Experience driving adoption for internal platforms or developer tools.
- Understanding of governance, compliance, and audit requirements in pharmaceutical, biotech, healthcare, or other regulated industries.
- Experience with metrics, service management, and operational excellence practices.
What sets you apart
- Strong strategic thinking with the ability to convert ambiguity into executable plans.
- Ability to lead through influence and build alignment across diverse stakeholders.
- Strong people leadership and coaching capability.
- Excellent judgment in prioritization, risk management, and tradeoff decisions.
- Strong business acumen and customer orientation.
- Ability to operate effectively in complex, matrixed organizations.
- Clear and confident communicator, both written and verbal.
- Team-oriented mindset with a focus on accountability, execution, and outcomes.
Thrive
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
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