Senior Manager, Commercial Insights AI & Innovation Solutions

Amgen•Deerfield, IL

8d•$137,145 - $185,549•Hybrid

About The Position

The Senior Manager, Commercial Insights AI & Innovation Solutions, within Business Analytics & Insights (BAI), helps shape the future of Commercial Insights by incorporating 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 for business teams. The primary focus is the Market Research Agent (MR Agent), an AI-enabled insights platform and research co-pilot. The position owns its roadmap and evolution, partnering with market research leaders and technical partners to expand capabilities, maintain research rigor, and embed new approaches to generating and applying insights. Responsibilities include translating user needs into requirements, prioritizing enhancements, coordinating development, testing and releases, maintaining content and output quality, and leading onboarding, training and change management. The role also works closely with Amgen India (AIN) to advance AI-enabled quarterly business reviews (QBRs) as a forward-looking enterprise decision system. It coordinates enterprise inputs and manages workflow requirements, delivery dependencies and output-quality improvements with AIN and technical partners. The position identifies and pilots other AI applications across Commercial Insights, scaling those that demonstrate business value in coordination with AIN, Amgen Portugal (ACCP), external vendors and platform teams. The position works independently on priorities agreed with BAI leadership and supports the development of practical foundations for the next generation of AI-enabled Commercial Insights. It ensures assigned solutions and workflows follow applicable research, data privacy, security and AI governance standards.

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’s 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, with the 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 the 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 based on business priorities, user feedback and performance data; recommend enhancements and sequencing 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 maintain appropriate methods, acknowledge limitations and support 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, resolve product and delivery issues independently, and escalate material risks, scope changes or resource needs to BAI leadership.
Partner with AIN to deliver and improve AI-enabled QBRs, coordinating 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 outputs, translating analysis into business implications, choices and recommendations for leadership discussion.
Track decisions, actions, owners and timing, and translate stakeholder feedback into improvements for subsequent QBR cycles.
Identify and scope practical AI use cases with BAI teams; lead prioritized pilots with clear hypotheses, success measures and evaluation criteria.
Assess AI pilot output quality, workflow benefit and usability; recommend whether to refine, expand or stop, and coordinate improvements with technical partners.
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 assigned workstreams; coordinate AIN, ACCP and vendor deliverables, monitor scope and service expectations, and escalate constraints.
Provide stakeholder updates and recommendations on progress, quality, adoption and unresolved decisions; maintain documentation, knowledge transfer and handovers.
Ensure assigned solutions and workflows comply with 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 that strengthen research and analytical judgment, and work with functional leaders and champions to embed capabilities into existing routines.
Track adoption, engagement, cycle time, output quality and stakeholder experience against agreed measures; use results and feedback to prioritize improvements and demonstrate value.

Benefits

Health and welfare plans for staff and eligible dependents
Retirement and Savings Plan with generous 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 and bi-annual company-wide shutdowns
Flexible work models, including remote and hybrid arrangements where possible
Career development opportunities