Jobs and Careers

Senior Manager – Marketing AI & Innovation Analytics

Amgen

Thousand Oaks, United StatesRemotefull_timeVerifiedPosted 24 Jul 2026

💰 $202,061/yr($149,349/yr – $202,061/yr)

About the role

Career Category

Sales & Marketing Operations

Job Description

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.

Senior Manager – Marketing AI & Innovation Analytics

What you will do

The Senior Manager of Marketing AI & Innovation Analytics (GCCI) is responsible for translating AI-driven insights into coordinated customer engagement strategies and establishing the measurement frameworks required to evaluate their impact. This role ensures AI-enabled marketing capabilities are effectively activated across brands and connected to measurable business outcomes.
This individual will serve as the analytics lead for AI Marketing—partnering across Marketing, GCCI, BAI, and external partners to drive data orchestration, performance measurement, experimentation, and evaluation of future AI capabilities and partnerships.

Key Responsibilities:

AI Data Orchestration & Activation: Lead the translation of AI-driven data sources into coordinated omnichannel and field engagement strategies. Partner across Marketing, GCCI, BAI, and brand teams to orchestrate data activation and maximize business impact.
GEO Analytics & Optimization: Own and evolve the enterprise GEO analytics framework across brands. Lead the GEO vendor partnership, establish GEO measurement standards, and translate audit findings into actionable recommendations.
Measurement Strategy & Business Impact: Develop KPI frameworks and measurement plans for AI-enabled marketing initiatives. Integrate AI metrics into brand performance reporting and quantify the impact of AI capabilities on engagement, brand performance, and business outcomes.
Experimentation & Performance Optimization: Establish test-and-learn approaches, including pilots, A/B testing, and incrementality measurement, to evaluate AI initiatives and inform scaling decisions.
Future AI Capabilities & Partner Evaluation: Develop success criteria and measurement frameworks for future AI capabilities. Assess emerging AI platforms, data partnerships, and technologies based on data quality, scalability, measurement readiness, and commercial value.

Key Activities:

Lead development of AI measurement frameworks, KPI architectures, and reporting standards, integrating AI metrics into brand reporting and business reviews, including execution, leading, and lagging indicators.
Partner with Marketing, GCCI, BAI, and brand teams to operationalize OpenEvidence and other AI-derived data sources, translating insights into coordinated omnichannel and field engagement strategies.
Own the enterprise GEO analytics framework and partner with the GEO vendor to evaluate performance, identify opportunities, and drive optimization recommendations across brands.
Design and evaluate pilots, A/B tests, incrementality studies, and other experimentation approaches to determine which AI capabilities should be scaled.
Quantify the business impact of AI-enabled initiatives and translate findings into actionable recommendations for marketing leadership.
Evaluate new AI platforms, data sources, and partnerships, assessing data quality, measurement readiness, and potential business value.
Define analytics, measurement, and instrumentation requirements for emerging AI capabilities, including AI agents, copilots, and personalization solutions.
Develop executive-level reporting, cross-brand AI scorecards, and performance narratives to support investment and scaling decisions.