Competitive Intelligence Manager, R&D, AI Innovation

Amgen

Competitive Intelligence Manager developing AI/ML solutions for Business Analytics and Insights teams at Amgen. Bridging technical and business needs to enhance competitive intelligence generation.

Posted 5/14/2026full-timeThousand Oaks • California, Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $124,296 - $168,165 per yearWebsite

Tech Stack

Tools & technologies

PythonTypeScript

About the role

Key responsibilities & impact

Serve as a Competitive Intelligence Manager focusing on identifying, developing, and deploying AI/ML-enabled solutions
Act as the primary bridge between Business Analytics and Insights stakeholders and technology stakeholders
Identify high-friction competitive intelligence and analytics workflows
Partner with cross-functional business teams to define key intelligence questions, user needs, success criteria, and adoption requirements
Lead hands-on development of functional MVPs, prototypes, and internal tools using modern technology stacks
Leverage AI-assisted coding and development tools to accelerate development velocity
Serve as technical product owner for successful CI prototypes
Synthesize competitive intelligence, market events, scientific and medical developments into actionable insights
Manage multiple initiatives across competitive intelligence, AI/ML enablement, business analytics and insights (BAI), and digital product development.

Requirements

What you’ll need

Doctorate degree OR Master’s degree and 2 years of Competitive Intelligence, Business Development, Tech Transfer, Equity Research, Consulting, Patent Law, Business Analytics, Data Science, Digital Product Management, or AI/ML solution development experience OR Bachelor’s degree and 4 years of Competitive Intelligence, Business Development, Tech Transfer, Equity Research, Consulting, Patent Law, Business Analytics, Data Science, Digital Product Management, or AI/ML solution development experience OR Associate’s degree and 8 years of Competitive Intelligence, Business Development, Tech Transfer, Equity Research, Consulting, Patent Law, Business Analytics, Data Science, Digital Product Management, or AI/ML solution development experience OR High school diploma / GED and 10 years of Competitive Intelligence, Business Development, Tech Transfer, Equity Research, Consulting, Patent Law, Business Analytics, Data Science, Digital Product Management, or AI/ML solution development experience
Strong communicator with proven ability to generate succinct insights from complex scientific, clinical, market, technical, and business data for diverse stakeholders of various functions and levels
Experience in competitive intelligence, business analytics, forecasting, marketing, R&D, medical, commercial strategy, business development, consulting, equity research, tech transfer, patent law, digital product ownership, or similar roles
Knowledge of basic principles of functions across the pharmaceutical value chain, including drug discovery and development, clinical trials, FDA / EMA regulation, commercialization, forecasting, and lifecycle planning
Proven track record managing multiple, simultaneous projects and working with proprietary technical, regulatory, competitive, financial, and business data sources
Experience supporting insight generation by coordinating with cross-functional R&D, commercial, medical, scientific, forecasting, marketing, technology, and analytics teams to inform therapeutic area strategy
Ability to analyze competitive events, ongoing clinical trials, global regulatory considerations, market dynamics, and competitor behavior to develop scenarios for launch timing, market share, and strategic implications
Understanding of pharmaceutical forecasting models and ability to provide competitor-focused assumptions in support of long-range planning scenarios, go/no-go decisions, opportunity assessments, and business development activities
Hands-on fluency with workflow orchestration and automation tools such as n8n, LangChain, Zapier, or similar platforms
Proficiency in scripting, preferably Python or TypeScript, for API integrations, data processing, prototyping, and internal tool development
Deep understanding of LLM capabilities and solution patterns, including retrieval-augmented generation, function calling, agents, prompt engineering, evaluation, and responsible deployment considerations
Experience using AI-assisted coding and development tools such as Codex, Claude Code, Cursor, Replit, or similar platforms
Ability to navigate a cross-functional, matrixed organization and translate effectively between business stakeholders and technology, developer, vendor, or enterprise IT teams
Self-starter mentality with an engineering mindset, comfort operating in ambiguity, and ability to move from business problem definition to prototype, testing, refinement, deployment, and scale-up planning
Passion for learning emerging AI/ML capabilities and applying that knowledge to create practical, high-impact competitive intelligence solutions that help teams make faster, better-informed decisions.

Benefits

Comp & perks

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML solution developmentBusiness AnalyticsData ScienceDigital Product ManagementScriptingPythonTypeScriptWorkflow orchestrationAutomation toolsPharmaceutical forecasting models

Soft Skills

Strong communicatorAbility to generate insightsProject managementSelf-starter mentalityComfort operating in ambiguityCross-functional collaborationAnalytical skillsProblem definitionAdaptabilityLearning mindset