AI Market and Competitive Intelligence Analyst

Role overview

Intelligence systems and market tracking

• Build and maintain automated intelligence systems, including source monitoring and refresh cadences.
• Identify manual processes that can be automated and improve them proactively.
• Track AI's impact on markets, competitors, startups, funding, product releases, partnerships, research, talent movement, and regulatory shifts.

Research and analysis

• Work with business functions, product management, engineering, and technical benchmarking teams to define target markets and map competitive landscapes.
• Size opportunities, identify gaps, and test market and commercial assumptions against what is technically buildable.
• Synthesize qualitative and quantitative information into defensible points of view, challenge assumptions, reconcile differing perspectives, and explain broader implications.
• Use informed hypotheses to assess how competitors build AI capabilities.

Project delivery and communication

• Coordinate research projects and workstreams, structure ambiguous questions, facilitate discussions, manage contributors and timelines, and capture conclusions in final deliverables.
• Produce recurring intelligence and fast-turn analysis, including executive-ready briefs, presentations, and market maps for leaders and C-suite audiences.
• Keep competitive intelligence available to teams on demand and bring forward useful tools, methods, and ideas.
• Travel occasionally to industry events and internal meetings.

Minimum qualifications

• At least five years of experience in competitive intelligence, market research, business intelligence, strategy, consulting, product management, software engineering, or data engineering, or a combination.
• Experience building workflows, agents, or pipelines that operate without manual intervention; candidates should be prepared to explain their choices.
• Strong analytical judgment and ability to form defensible conclusions from incomplete or fragmented information.
• Ability to build appropriate human review into automated output.
• Ability to lead projects or significant workstreams with multiple stakeholders and deadlines.
• Data storytelling and presentation skills for senior stakeholders, and ability to collaborate on analytical work.
• Bachelor's degree in business, economics, data science, computer science, engineering, or a related field, or equivalent practical experience.

Preferred qualifications

• Interest in physical AI across Manufacturing, AECO, or Media and Entertainment.
• Ability to interpret competitors' model releases or data positions and implications for roadmaps and cost structures.
• Experience with customer discovery, market validation, go-to-market analysis, or business case development.
• Practical experience with Python, SQL, or similar; PitchBook, CB Insights, Crunchbase, or similar; and Excel, Power BI, Tableau, or similar.

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