Director of Technology Field Sales Intelligence

Amgen•Tampa, FL

19d

About The Position

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. R-240629 Director of Technology Field Sales Intelligence What you will do Let’s do this. Let’s change the world. In this vital role you will 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, including AI-powered insights and decision-support features, with accountability for a multi-year strategy and capability evolution roadmap. • 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, while making portfolio tradeoff decisions across initiatives to align investments with enterprise priorities. • Partner with field leadership, sales operations, analytics, and data science teams to identify intelligence needs and translate them into product requirements, while aligning senior stakeholders on strategic direction, priorities, and expected outcomes. • 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, including field productivity, insight adoption, decision support effectiveness, and commercial impact. • Lead the field intelligence product portfolio, including prioritization of investments, sequencing of major initiatives, and resource tradeoff decisions across business needs and technology constraints. • Present product strategy, roadmap, risks, adoption, and business outcomes to senior leadership and executive stakeholders, driving governance and decision-making across business and technology teams. • Establish and evolve the product operating model for field intelligence, including governance, prioritization frameworks, KPI definition, and cross-functional decision-making mechanisms. • Lead organizational change management and business readiness efforts to drive adoption of field intelligence products and embed data-driven decision making into field workflows. • Lead, coach, and develop product managers, product owners, or other cross-functional team members, while building product management capabilities and execution maturity across the organization. • 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

Nice To Haves

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.

Responsibilities

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, including AI-powered insights and decision-support features, with accountability for a multi-year strategy and capability evolution roadmap.
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, while making portfolio tradeoff decisions across initiatives to align investments with enterprise priorities.
Partner with field leadership, sales operations, analytics, and data science teams to identify intelligence needs and translate them into product requirements, while aligning senior stakeholders on strategic direction, priorities, and expected outcomes.
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, including field productivity, insight adoption, decision support effectiveness, and commercial impact.
Lead the field intelligence product portfolio, including prioritization of investments, sequencing of major initiatives, and resource tradeoff decisions across business needs and technology constraints.
Present product strategy, roadmap, risks, adoption, and business outcomes to senior leadership and executive stakeholders, driving governance and decision-making across business and technology teams.
Establish and evolve the product operating model for field intelligence, including governance, prioritization frameworks, KPI definition, and cross-functional decision-making mechanisms.
Lead organizational change management and business readiness efforts to drive adoption of field intelligence products and embed data-driven decision making into field workflows.
Lead, coach, and develop product managers, product owners, or other cross-functional team members, while building product management capabilities and execution maturity across the organization.
Monitor external trends, emerging technologies, and industry best practices in commercial analytics, AI, and field intelligence to inform product strategy and innovation opportunities.

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, and 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.

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