Jon Anunson

Sr. Product Manager, Insights & Recommendations; Master Data Transformation at Ingram Micro

Generative AI & LLMsProduct StrategyMaster Data TransformationWorkflow AutomationEnterprise AI GovernanceDesign Thinking

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About

I'm Jon Anunson, currently the Sr. Product Manager for Insights & Recommendations and Master Data Transformation at Ingram Micro. My career has been a unique arc from practicing architecture and software development to leading global innovation and AI-driven workflow automation. I specialize in bridging the gap between complex AI capabilities and tangible business value, having led initiatives that generated over $500M in annual revenue impact. I am deeply passionate about enterprise AI governance and removing 'meetings that suck' through smarter, automated workflows. Whether I'm scaling data models across 50+ countries or advising on hallucination-resistant AI, my focus is always on value-driven innovation. I’m here to connect with technical leaders and talent who want to move past the hype and build high-integrity, scalable systems that solve real-world problems.

Networking

What I can offer

›AI strategy and MLOps guidance
›Digital transformation workshops
›Design thinking and workflow automation expertise
›Insights on scaling global data platforms

Looking for

›Technical leaders and data scientists
›Talent for AI/ML services in enterprise environments
›Business executives focused on real-world AI value

Best fit for

Technical leadersData scientistsBusiness executivesAEC technology professionals

Current Interests

Enterprise AI GovernanceWorkflow OptimizationAEC Industry Tech (BIM/Generative Design)Quantum Computing & HardwareCircular Supply Chains

Background

Career

Transitioned from an Architect and Software Developer to a leader in BIM and Design Technology, eventually moving into global innovation and AI product management at enterprise scale.

Education

Master of Architecture (MArch) and Bachelor of Architecture (BARCH) from Tulane University.

Achievements

›Led AI initiatives generating $500M+ annual revenue impact.
›Scaled global data models across 52 countries for 20M+ SKUs.
›Reduced coordination errors from >10% to ~1% via predictive analytics.
›Led global data platform deployment for 40,000+ users.
›Founded and secured angel funding for AI startup Kinetic Blu.

Opinions

Most companies have a governance and visibility problem, not an AI problem.
Technology must be tied to business outcomes, never viewed merely as a cost.
Software incumbents often fail to address basic user pain points for decades.
AI must be hallucination-resistant with human-in-the-loop validation.