AI Market Intelligence Architect

Autodesk, Inc; Cambridge; On-site; GBP 70,000 - 110,000; Full time

Job summary

Autodesk is hiring for a senior competitive intelligence professional in Cambridge to build automated systems, monitor AI-driven market shifts, and synthesize insights for executives.

You’ll work with business, product, and engineering teams to map markets, size opportunities, and test assumptions against what is buildable, bringing structure to ambiguous questions and delivering clear, actionable outputs.

Qualifications

• 5+ years of experience in competitive intelligence, market research, business intelligence, strategy, consulting, product management, software or data engineering.
• Ability to translate fragmented information into a defensible point of view.
• Strong data storytelling and presentation skills for senior stakeholders.
• Experience leading cross-functional projects with multiple stakeholders.

Responsibilities

• Build and maintain automated systems that produce intelligence, including source monitoring and refresh cadences.
• Track AI market shifts, competitors, startups, funding, products, partnerships, and regulatory changes.
• Collaborate with business, product, engineering to map markets, size opportunities, and test commercial assumptions.
• Synthesize information into exec-ready briefs, market maps, and point-of-view documents.
• Lead projects, manage timelines, and ensure final deliverables meet expectations.

Skills

Analytical thinking

Data storytelling

Project leadership

Collaboration

Presentation skills

Education

Bachelor's degree in business, economics, data science, computer science, engineering, or related field

Tools

Python

SQL

Power BI

Tableau

Excel

Job description

Autodesk is hiring for a senior competitive intelligence professional in Cambridge to build automated systems, monitor AI-driven market shifts, and synthesize insights for executives.

You’ll work with business, product, and engineering teams to map markets, size opportunities, and test assumptions against what is buildable, bringing structure to ambiguous questions and delivering clear, actionable outputs.