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Dan Martines is a Managing Director with BCG X, where he specializes in Generative AI, AI platform engineering, and data management. Dan co-founded Boston Consulting Group's technology and digital practice (BCG Platinion) in 2015 in North America. At BCG X, he helps companies use artificial intelligence to modernize the customer experience, transform products and services, and optimize internal operations.

Dan has written leading perspectives on generative AI adoption, experimentation, and implications across business and society. He speaks with clients in many industries and helps executive leadership teams understand what this technology is, how it impacts their business, and how they can capture value from it.

Dan has over 25 years of technology architecture and implementation experience, primarily with financial institutions and health care, public sector, retail, and tech industries. He is currently leading tech and data transformations for a health care clinical research organization, and a US military health care provider. He also has retail and commercial banking experience, and leads the firm's work in data engineering and Anaplan transformations.

In recent years, Dan has focused on helping organizations understand the impact of rapid technology evolution at the intersection of generative AI, product-centric cultures, shift to cloud, engineering automation, and the emergence of data and digital platforms. His client work includes topics such as MLOps, SRE, AI/ML, DevOps, and multi-cloud designs.

Before joining the firm Dan was a senior manager at Accenture and CTO of an analytics startup.

AREAS OF EXPERTISE

EDUCATION

  • MBA, MIT Sloan School of Management 
  • BS, mechanical engineering, Escola de Engenharia Maua  

Publications and Videos

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Generative AI in the Finance Function of the Future

Now is the time for CFOs to learn about the most impactful applications of generative AI and prepare to capitalize on emerging capabilities.
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Generative AI Will Transform Health Care Sooner Than You Think

Leaders need to understand the growing range of AI applications—and how to capitalize on their potential while avoiding the risks.
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Engineering for Resilience: Engineering Excellence and How to Achieve It

In the fifth and last of a series of articles on how businesses can make their IT more resilient, we examine how a strong engineering culture and skill set are essential to scaling modern architectures with resilience.
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Designing for Resilience: How Next-Generation Tech Architecture Can Make Your IT More Scalable and Robust

For the fourth in a series of articles on how businesses can make their IT more resilient, we discuss how architecture designs must evolve to integrate new technology changes and keep pace with faster change.
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Measuring Resilience: How Service Level Agreements Can Improve Your Company’s IT Resilience

In the third of a series of articles on how businesses can make their IT more resilient, we discuss practical methods to identify and develop service-level metrics connecting business to technology resilience.
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How to Get There: Maturity Models for SRE and Stages of Development

In the second of a series of articles on how businesses can make their IT more resilient, we articulate five stages of maturity for organizations to achieve resilience in technology design and operations.
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Stronger by Design

How ‘technology resilience’ can cut costs and boost your company’s profits.
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How Automation and AI Can Unlock Value in IT Operations

Companies that combine site reliability engineering with AI and machine learning can overcome the increased complexity and instability caused by outmoded, inefficient IT systems.