Senior Manager – Marketing AI & Innovation Analytics

Amgen is a pioneering biotech company focused on serving patients with serious illnesses. The Senior Manager of Marketing AI & Innovation Analytics will translate AI-driven insights into customer engagement strategies and establish measurement frameworks to evaluate their effectiveness.

Responsibilities:

• 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
• 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
• 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
• Establish test-and-learn approaches, including pilots, A/B testing, and incrementality measurement, to evaluate AI initiatives and inform scaling decisions
• 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
• 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

Requirements:

• Doctorate degree and 2 years of Marketing, Analytics, Business Intelligence, Commercial Operations, or related experience
• OR Master's degree and 4 years of Marketing, Analytics, Business Intelligence, Commercial Operations, or related experience
• OR Bachelor's degree and 6 years of Marketing, Analytics, Business Intelligence, Commercial Operations, or related experience
• OR Associate's degree and 10 years of Marketing, Analytics, Business Intelligence, Commercial Operations, or related experience
• OR High school diploma / GED and 12 years of Marketing, Analytics, Business Intelligence, Commercial Operations, or related experience
• Experience leading marketing analytics, measurement strategy, or commercial analytics initiatives
• Strong understanding of omnichannel marketing, customer engagement measurement, KPI development, and performance analytics
• Experience designing experimentation frameworks, including A/B testing, incrementality studies, and causal measurement approaches
• Familiarity with AI search, GEO, OpenEvidence, and emerging AI-enabled marketing capabilities
• Experience translating complex analytics into actionable recommendations and executive-level insights
• Experience evaluating new technologies, data partnerships, and capabilities to inform investment and scaling decisions
• Experience managing external vendors and analytics partners to deliver business outcomes
• Strong cross-functional collaboration and influencing skills within a matrixed organization
• Ability to connect performance metrics to commercial outcomes and business impact
• Excellent verbal and written communication skills
• Track record of delivering complex initiatives that drive measurable results