Sr. Manager, Marketing AI Capabilities

What you will do

Let’s do this. Let’s change the world. In this vital role, reporting to the Director, Marketing AI Capabilities, you will serve as the day-to-day business product and transformation lead for the Marketing Command Center and related priority AI marketing capabilities. You will help execute Amgen’s Future of Marketing strategy by translating marketer and customer needs, enterprise capabilities, relevant external trends, and innovation-pilot learnings into practical, governed workflows, product releases, adoption plans, and measurable outcomes.

Responsibilities Include Lead the day-to-day business product and delivery work for the Marketing Command Center, translating the strategy into a prioritized roadmap, user journeys, requirements, product backlog, release plans, pilot measures, and adoption activities.

Work with analysts, marketers, brand teams, and commercial leaders to design role-aware Command Center and other tech-driven experiences that give each user the appropriate information, context, and action options. Ensure users can move from trusted insight to decision, approval, action, and learning using shared data definitions, evidence, and governance standards.

Translate Future of Marketing priorities into practical operating-model requirements, including workflows, decision rights, human-review expectations, approval pathways, accountable ownership, feedback loops, and measures of marketer and customer value.

Partner with Neural Nexus, enterprise data and analytics teams, Digital Technology and Innovation, and other capability owners to incorporate governed data products, analytics, knowledge assets, and AI-derived signals into marketing workflows.

Support the evaluation and activation of AI partnerships and innovation pilots by coordinating business requirements, user testing, cross-functional readiness, governance needs, implementation dependencies, and recommendations to scale, optimize, or stop a capability.

Drive cross-functional delivery, change readiness, and adoption across Marketing, Commercial, Medical, Legal/Regulatory, Privacy, Information Security, Market Access, Patient Services, Technology, agencies, and vendors. Develop practical playbooks, working sessions, and feedback mechanisms, and synthesize results, risks, dependencies, and recommendations for senior stakeholders.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The strategic and collaborative professional we seek is a business product and transformation leader with these qualifications.

Basic Qualifications Doctorate degree OR Master’s degree and 3 years of experience in marketing, commercial strategy, digital product management, data and analytics, or a related field OR Bachelor’s degree and 5 years of such experience OR Associate’s degree and 10 years of such experience OR High school diploma / GED and 12 years of such experience.

Demonstrated experience leading complex cross-functional initiatives from problem definition through implementation, adoption, and performance measurement.

Experience translating customer or business needs into product requirements, roadmaps, implementation plans, or technology-enabled workflows.

Working fluency in AI, data, and digital-product concepts sufficient to guide requirements, assess feasibility and risk, and partner credibly with technical experts.

Ability to work effectively across marketing or commercial teams, data and analytics, technology, and relevant governance functions.

Strong communication, facilitation, prioritization, and stakeholder-management skills, with the ability to create clarity across interdependent workstreams.

Preferred Qualifications Experience in pharmaceutical, biotechnology, healthcare, or another highly regulated industry, particularly in commercial marketing, HCP engagement, patient services, market access, or omnichannel customer experience.

Experience launching or scaling AI, generative AI, machine learning, predictive analytics, next-best-action, personalization, content intelligence, or decision-support capabilities.

Experience with product delivery practices such as user research, journey mapping, Agile delivery, product backlogs, pilot design, service design, and adoption measurement.

Familiarity with responsible-AI considerations, including data provenance, model li…