Key skills
AWSCloudAIMachine LearningAnalyticsSalesforceCRMAgileLeadershipStakeholder ManagementChange ManagementCommunicationCollaborationSales
About this role
Role Overview
- Set the strategy and multi-year vision for field intelligence capabilities that enable Amgen’s sales organization to make data-driven decisions
- Own the product vision and roadmap for field intelligence capabilities aligned to business priorities and field outcomes
- Serve as Product Owner for agile teams delivering field intelligence solutions across CRM, analytics, machine learning, and data platforms
- Define and prioritize the product backlog, including epics, features, and user stories, based on business value, measurable outcomes, and model-driven impact
- Partner with field leadership, sales operations, analytics, and data science teams to identify intelligence needs and translate them into product requirements
- Drive the design and delivery of insights, dashboards, alerts, predictive signals, and decision-support tools for field users
- Ensure field intelligence solutions leverage CRM activity data, performance metrics, territory data, approved external data sources, and AI-ready datasets
- Collaborate with engineering and data teams to define data models, KPIs, metrics, feature inputs, and analytics requirements for AI use cases
- Act as the primary point of accountability for field intelligence adoption, usability, trust in AI-driven outputs, and value realization
- Participate in PI planning, backlog refinement, sprint reviews, and release planning
- Ensure compliance with data privacy, legal, and regulatory requirements related to field data, analytics, and AI usage
- Monitor product performance and usage, including AI model effectiveness and signal accuracy, incorporating feedback and data to continuously improve the product
- Own measurable business outcomes tied to field intelligence capabilities
- Lead the field intelligence product portfolio
- Present product strategy, roadmap, risks, adoption, and business outcomes to senior leadership and executive stakeholders
- Establish and evolve the product operating model for field intelligence
- Lead organizational change management and business readiness efforts to drive adoption of field intelligence products
- Lead, coach, and develop product managers, product owners, or other cross-functional team members
- Monitor external trends, emerging technologies, and industry best practices in commercial analytics, AI, and field intelligence to inform product strategy and innovation opportunities
Requirements
- Doctorate degree and 4 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master’s degree and 8 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor’s degree and 10 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate’s degree and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 16 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
- Experience as a Product Owner or Product Manager delivering data-driven or analytics-enabled products, including AI or advanced analytics solutions.
- Strong understanding of field sales processes, CRM platforms, and field performance measurement.
- Experience working with agile development teams using SAFe methodologies.
- Technical fluency to collaborate effectively with engineers, data engineers, data scientists, and analytics teams.
- Experience with Salesforce platforms and enterprise analytics tools.
- Familiarity with cloud platforms such as AWS, including services supporting data and machine learning workloads.
- Experience defining KPIs, metrics, and dashboards that support operational decision-making and AI outcome evaluation.
- Strong cross-functional collaboration and stakeholder management skills.
- Ability to translate complex business problems into clear, prioritized product requirements suitable for analytics and AI solutions.
- Excellent communication skills across technical and business audiences.
- Experience leading complex product portfolios or enterprise-scale product capabilities across multiple teams or business domains.
- Experience influencing senior leaders and presenting strategy, tradeoffs, and business outcomes to executive stakeholders.
- Experience leading organizational change, business transformation, or adoption initiatives for data, analytics, or AI-enabled products.
- Demonstrated people leadership, including coaching, developing, or leading product managers, product owners, or cross-functional teams.
- Experience establishing governance, operating models, and prioritization frameworks for product organizations or enterprise capabilities.
- Ability to connect product investments to measurable business outcomes, value realization, and long-term strategic goals.
Tech Stack
- AWS
- Cloud
Benefits
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
- group medical, dental and vision coverage
- life and disability insurance
- flexible spending accounts
- A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.