Field Sales Intelligence Sr Mgr Software Engineering

Amgen is a leading biotechnology company focused on serving patients with serious illnesses. The Field Sales Intelligence Senior Manager in Software Engineering will own the vision, strategy, and delivery of field intelligence capabilities, driving data-driven decisions for the sales organization through advanced analytics and AI-driven insights.

Responsibilities:

• Own the product strategy and roadmap for field intelligence capabilities aligned to business priorities, field outcomes, and AI-powered decision support
• Lead cross-functional delivery of field intelligence solutions across CRM, analytics, data, and AI-enabled platforms, while contributing hands-on to solution design, development, and implementation
• Translate business priorities into a clear, outcome-based backlog of features, user stories, and technical, UX, and AI requirements
• Partner with field leadership, sales operations, analytics, data science, engineering, and design teams to identify opportunities and deliver user-centered, scalable, and intelligent solutions
• Drive the design and delivery of dashboards, alerts, predictive signals, and decision-support tools, while advancing UI/UX through design thinking, workflow optimization, and intuitive experience design
• Collaborate with engineering and data teams to define data models, KPIs, integrations, and technical requirements, and support development of scalable software and AI-enabled capabilities
• Ensure solutions deliver measurable value through strong adoption, usability, compliance, and performance, including AI transparency, trust, and effectiveness
• Provide leadership across PI planning, backlog refinement, sprint execution, testing, release planning, and hands-on support throughout the software development lifecycle
• Drive AI-enabled capabilities such as predictive insights, intelligent recommendations, workflow automation, and guided user experiences

Requirements:

• Doctorate degree and 2 years of experience
• Master's degree and 4 years of experience
• Bachelor's degree and 6 years of experience
• Associate's degree and 10 years of experience
• High school diploma / GED and 12 years of experience
• Experience leading delivery of analytics-enabled, digital, or AI-driven products in a Product Owner or Product Manager capacity
• Strong understanding of field sales processes, CRM platforms, and field performance measurement
• Experience working in agile environments using SAFe methodologies
• Technical fluency across software engineering, data engineering, analytics, and data science
• Experience with Salesforce platforms, enterprise analytics tools, and cloud platforms such as AWS
• Hands-on experience contributing to software development, integrations, configuration, or enterprise application enhancements
• Experience with UI/UX, design thinking, and user-centered design for enterprise platforms
• Experience delivering AI-enabled capabilities such as predictive analytics, intelligent automation, or generative AI solutions
• Strong executive communication, collaboration, and stakeholder management skills across technical and business teams