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.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statisticsoperations researchmathematicseconometricsbusiness administrationdata-driven productsanalytics-enabled productsAI solutionsKPI definitiondashboard creation

Soft Skills

cross-functional collaborationstakeholder managementcommunication skillspeople leadershiporganizational change managementbusiness transformationinfluencing senior leaderscoachingdeveloping teamstranslating complex problems