R. Michael Merritt

 

Generative AI/ML/DL Product Management Professional

Operational AI • Value Scoping • Value Discovery • Value Delivery • Stewardship
Healthcare • Finance • Fashion • Retail • Marketing

Key Achievements & Core Expertise

  • My Approach

    Throughout my career, I’ve embraced a collaborative and empowering leadership style that prioritizes people and purpose. Whether through growing AI/ML products from pre-market stages to multimillion-dollar growth, or optimizing large-scale product suites in mature organizations, I thrive in environments where innovation and technology meet customer needs.

    If you’re interested in discussing how I can contribute to your organization’s success, please reach out. You can find more details on my LinkedIn profile. Thank you for considering my candidacy, and I look forward to the opportunity to connect.

  • Core Expertise

    • AI and Product Leadership: Expert at building high-performing AI product teams that operate in high-stakes, dynamic environments. Focused on creating ethical, sustainable growth strategies that leverage the transformative potential of AI/ML technologies.
    • Product Strategy and Vision: Proven ability to define product strategies and roadmaps that are customer-centric and data-driven, aligning AI capabilities with market demands to drive adoption and scale.
    • Team Topologies and Process Design: Skilled in collaborating with engineering leaders to develop agile, data-centric processes that empower teams to deliver complex AI solutions efficiently and at scale.
    • Human-Centered AI Design: Committed to developing AI products that put people first. My approach to user experience includes employing advanced methodologies such as ethnography, heuristic evaluations, participatory design, and usability testing to ensure our solutions are intuitive and impactful.
  • Key Achievements - IBM

    • Scalable AI Product Growth: At IBM, I led the strategic development of an AI portfolio, leveraging IBM Watson’s NLU, ASR, and Generative AI capabilities. This resulted in a 12% increase in ARR and a 22% improvement in customer satisfaction metrics.
    • AI Solutions in Enterprise Contexts: Successfully drove the integration of computer vision and machine learning models into complex enterprise environments, generating actionable insights that supported multimillion-dollar business cases across healthcare and finance.
    • Cross-Industry Impact: My contributions to AI innovation at IBM, Google, Disney, and Humana include the deployment of intelligent automation solutions and advanced analytics frameworks that enhanced productivity, reduced operational costs, and optimized decision-making.

Formal trainings and certifications from internationally recognized institutions and organizations.

  • aws
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  • Fuqua
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  • Wharton
  • CFI
  • Axelos
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  • UTA
  • EdX

University & Academic Achievements

My academic experience—Wharton Post Grad Fellow, MBA, and Post Grad Program in Artificial Intelligence & Machine Learning (PGP-AIML)—underscore a commitment to lifelong learning and enable me to approach complex business challenges with technical precision and strategic clarity.

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Chief Technology Officer (CTO) Program

Innovation Management and Entrepreneurship 

The Wharton School of Business at the University of Pennsylvania 

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Master of Information Systems Management (MISM)


Carnegie Mellon University

Heinz College of Information Systems and Public Policy

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Postgraduate Program in Artificial Intelligence & Machine Learning (PGP-AIML)

McCombs School of Business at the 

University of Texas at Austin

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Master of Business Administration (MBA)

Data Analytics Concentration  

Gies College of Business at the University of Illinois Champaign

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Master of Science in Financial Engineering (MScFE)

Foundations of Financial Engineering (FFE)

WorldQuant University

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