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Kristy Mayer-Mejia

Kristy Mayer-Mejia is the Global Head of Data Transformation at Kraken, a utility-focused technology platform. She specializes in helping utility clients understand, adopt, and extract value from data infrastructure, with particular emphasis on the business and organizational dimensions of data-driven transformation initiatives.1)

Role and Responsibilities

Mayer-Mejia holds a leadership position focused on data transformation strategy at Kraken. In this role, she works directly with utility clients to facilitate their adoption of data platforms and maximize the value extracted from data analytics capabilities. Her responsibilities encompass consulting, strategic planning, and organizational change management related to data initiatives across the utility sector.

Expertise and Focus Areas

Mayer-Mejia's professional expertise distinguishes between technical infrastructure implementation and broader organizational transformation. Rather than focusing exclusively on technical systems architecture, her approach emphasizes the intersection of technology adoption with business strategy and organizational culture. This multidisciplinary perspective addresses the challenges utilities face when implementing data-driven decision-making processes across their organizations.

Her work recognizes that successful data transformation requires more than infrastructure investment or improved analytical models. The cultural dimensions of adopting data-driven practices—including stakeholder engagement, change management, and business process alignment—are critical components of her consulting approach with utility clients.

Utility Sector Specialization

Operating within the utility industry, Mayer-Mejia addresses sector-specific challenges related to data adoption. The utility sector encompasses complex operational environments, regulatory frameworks, and legacy systems that create unique barriers to data transformation. Her expertise includes helping utility organizations navigate these challenges while building organizational capabilities for sustained data-driven decision-making.

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