Competitive Intelligence Manager, R&D, AI Innovation

Role Overview

• 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

• 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.

Tech Stack

• Python
• TypeScript

Benefits

• 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.