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Cdna - Competitive Intelligence Manager, R&D Competitive Intelligence And Ai Innovation

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Amgen

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Location:
United States , Thousand Oaks

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Category:
Sales

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Contract Type:
Employment contract

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Salary:

124295.50 - 168164.50 USD / Year
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Job Description:

In this vital role you will serve as a Competitive Intelligence Manager with a focus on identifying, developing, and deploying AI/ML-enabled solutions that improve how Business Analytics and Insights teams generate, synthesize, and activate competitive intelligence. This role will report directly to the Director/Sr Director, Competitive Intelligence.

Job Responsibility:

  • Act as the primary bridge between Business Analytics and Insights stakeholders and technology stakeholders, translating business needs across Competitive Intelligence, Forecasting, Marketing, Medical, R&D, and Commercial teams into actionable AI/ML and digital product requirements
  • Identify high-friction competitive intelligence and analytics workflows that can be solved or improved through agentic AI, large language models, machine learning, automation, and advanced knowledge-management solutions
  • Partner with cross-functional business teams to define key intelligence questions, user needs, success criteria, and adoption requirements for CI-focused AI/ML tools and internal capabilities
  • Lead hands-on development of functional MVPs, prototypes, and internal tools using modern technology stacks such as workflow orchestration platforms, Python/TypeScript, LLM APIs, vector databases, knowledge graphs, and structured/unstructured data sources
  • Leverage AI-assisted coding and development tools such as Codex, Claude Code, Cursor, Replit, and similar platforms to accelerate development velocity from idea to deployed internal tool
  • Serve as technical product owner for successful CI prototypes, including defining product requirements, user workflows, testing plans, governance considerations, and value measurement
  • Once a tool is proven valuable, define the target architecture and hand-off approach for Enterprise IT, DevOps, vendors, or other technology partners to support long-term maintenance, scaling, and operationalization
  • Synthesize competitive intelligence, market events, scientific and medical developments, clinical trial updates, and other external signals into actionable insights for internal stakeholders
  • Leverage secondary research resources and internal/external data sources to support hypothesis-driven competitive intelligence, opportunity assessment, scenario planning, and business decision-making
  • Manage multiple simultaneous initiatives across competitive intelligence, AI/ML enablement, business analytics and insights (BAI), and digital product development
  • Abide by and strictly enforce Amgen's CI Legal and Ethical Guidelines with internal colleagues and agencies
  • Some travel (<10%) required

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • Health and welfare plans for staff and eligible dependents
  • Financial plans with opportunities to save towards retirement or other goals
  • Work/life balance
  • Career development opportunities
  • 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
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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