Senior Manager, Commercial Insights AI & Innovation Solutions

Amgen•Thousand Oaks, CA

7d•Hybrid

About The Position

Amgen is seeking a Senior Manager, Commercial Insights AI & Innovation Solutions within Business Analytics & Insights (BAI) to bring artificial intelligence into how teams investigate business questions, generate insights and make decisions. The role combines market research and analytics expertise with product management and technical fluency to develop capabilities that business teams can use. The primary focus is ownership of the Market Research Agent (MR Agent), an AI-enabled insights platform and research co-pilot. The role leads its roadmap and evolution, translates user needs into product requirements, prioritizes enhancements, manages delivery across technical and vendor partners, and oversees development, testing, releases, content and output quality, onboarding, training and change management. It uses stakeholder feedback, adoption measures and business value to guide continuous improvement. The role also partners with Amgen India (AIN) to advance AI-enabled quarterly business reviews (QBRs) as a forward-looking enterprise decision system. It coordinates inputs from teams across the company and manages workflow requirements, dependencies and output-quality improvements with AIN and technical partners. The position independently advances priorities agreed with BAI leadership, coordinating delivery with AIN, Amgen Portugal (ACCP), external vendors and platform teams, and identifies, pilots and scales AI applications that demonstrate business value. The position is a flexible commuter role based at the Thousand Oaks, California, or Deerfield, Illinois site, with a minimum of two on-site days per week.

Requirements

Doctorate degree and 2 years of market research, analytics or product management experience; or a master's degree and 6 years; or a bachelor's degree and 8 years; or an associate degree and 10 years; or a high school diploma/GED and 12 years.
At least 2 years of recent experience managing teams, projects or programs, or directing resources in matrixed organizations; this experience may run concurrently with the relevant experience above.

Nice To Haves

Pharmaceutical or biotechnology market research experience, including business-question scoping, qualitative and quantitative methods, agency coordination, synthesis and communication of findings.
Experience independently managing an AI-enabled tool, research platform or analytics product, including requirements, roadmap development, prioritization, testing and ongoing enhancement.
Practical understanding of generative and agentic AI, prompts, retrieval and output evaluation, and ability to work effectively with technical teams.
Ability to connect research and analytical evidence to business questions, assess limitations and communicate clear recommendations to commercial stakeholders and senior audiences.
Experience coordinating multiple projects, vendors and distributed teams, with clear plans, follow-through and timely escalation of risks and dependencies.
Experience supporting business reviews, AI pilots or workflow improvements and enabling adoption through training, communication and user feedback.
Strong collaboration, problem-solving and influence in matrixed environments, with ability to adapt to changing priorities while maintaining research rigor, quality and responsible AI practices.

Responsibilities

Own the ongoing evolution and operation of MR Agent, including research content, prompts, taxonomies, AI agent workflows, enhancements, issue resolution and release readiness.
Develop and maintain the MR Agent roadmap and backlog using business priorities, user feedback and performance data; recommend enhancement priorities and manage work through delivery.
Apply qualitative and quantitative primary market research expertise to improve MR Agent capabilities and workflows, partnering with research leads to ensure appropriate methods, acknowledgment of limitations and sound interpretation.
Coordinate content refreshes and enhancements with research agencies and technical partners; validate accuracy, source traceability and usability, and maintain documentation of capabilities, limitations and user guidance.
Serve as the primary business contact for MR Agent, independently resolve product and delivery issues, and escalate material risks, scope changes or resource needs to BAI leadership.
Partner with AIN to deliver and improve AI-enabled QBRs; coordinate cross-functional inputs, timelines, quality checks and feedback with BAI and enterprise partners.
Support AI-enabled evidence synthesis and executive memos using approved sources; confirm KPI definitions, reporting periods and forecast versions with source owners, and distinguish findings, hypotheses, recommendations and evidence gaps.
Coordinate functional review and human approval of AI-supported QBR outputs; translate analysis into business implications, choices and recommendations, and track decisions, actions, owners and timing.
Identify and scope practical AI use cases with BAI teams, lead prioritized pilots with defined hypotheses and success measures, assess quality, workflow benefit and usability, and recommend whether to refine, expand or stop pilots.
Translate business and research requirements into functional specifications, acceptance criteria and test scenarios; coordinate data access, prompts, retrieval, integrations and user testing with platform owners.
Manage plans, milestones, dependencies, risks and issue logs across workstreams; coordinate AIN, ACCP and vendor deliverables, monitor scope and service expectations, and escalate delivery constraints.
Provide stakeholder updates and recommendations on progress, quality, adoption and unresolved decisions; maintain documentation, knowledge transfer and handovers.
Ensure assigned solutions and workflows follow applicable research, data privacy, security and AI governance standards.
Lead onboarding, training and communications for assigned solutions across BAI, GCCI, Marketing and Sales stakeholders; assess readiness, address workflow barriers and support responsible use.
Build user feedback loops and practical guidance, work with functional leaders and champions to embed capabilities into existing routines, and track adoption, engagement, cycle time, output quality and stakeholder experience against agreed measures.
Use results and user feedback to prioritize improvements and demonstrate value.

Benefits

Retirement and Savings Plan with company contributions
Group medical, dental and vision coverage
Life and disability insurance
Flexible spending accounts
Discretionary annual bonus program, or sales-based incentive plan for field sales representatives
Stock-based long-term incentives
Award-winning time-off plans
Bi-annual company-wide shutdowns
Flexible work models, including remote and hybrid arrangements where possible
Career development opportunities