Sr Mgr Information Systems

About the Role Join Amgen's Manufacturing AI initiatives as Sr Mgr Information Systems. You will lead the team delivering AI-enabled manufacturing and engineering solutions, translating business needs into clear priorities, roadmaps, and executable requirements, while partnering with the Principal Software Engineer to ensure alignment with architecture and platform strategy.

What You'll Do

• 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.
• 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.

What We're Looking For

• Master’s or 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.

Nice to Have

• Hands-on familiarity with 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.

Compensation & Benefits Not disclosed in posting.