Campaign’s Digital Faces to Watch 2026 – Aakriti Verma, Senior Manager – Data Engineering, Merkle
Campaign’s Digital Faces to Watch 2026 – Aakriti Verma, Senior Manager – Data Engineering, Merkle
Age: 29
Country: United Arab Emirates
Nominated by Keyur Dhavle, Data and Analytics Director:
Aakriti has been a core pillar of our cloud engineering vertical. Her significant contributions to our AI initiatives have been instrumental in driving innovation and shaping our technical direction.
Over the years, she has consistently led the engineering vertical with clarity, expertise, and ownership, while inspiring the team through her leadership. She has also been pivotal in building a cloud-native solutioning approach.
I am excited to see how she continues to elevate our AI-first strategy. Her trajectory sets the stage for even greater impact.
Career highlights:
She is an AI-native Cloud Engineering Lead at Merkle, focused on building intelligent systems that operate at scale across the MENA region. She leads the design and operationalization of enterprise AI platforms at the intersection of cloud architecture, data infrastructure, and applied AI – embedding intelligence directly into business workflows rather than layering it on as an afterthought.
As part of the Data and Analytics division at Merkle, she has developed production-grade AI platforms, including conversational systems and decision-support engines, for regional and global brands such as Samsung. The focus is not experimentation for its own sake, but operationalization – ensuring AI translates into measurable commercial value, accelerated decision cycles, and enhanced performance visibility across the enterprise. The team at Merkle has played a pivotal role in delivering these outcomes.
At Merkle, AI is approached as a systems discipline. She views language as a strategic interface – how systems communicate, how data is structured, and how insights are surfaced fundamentally shapes business outcomes. By combining disciplined engineering with forward-looking AI strategy, she and her team enable organizations to transition from fragmented reporting environments to AI-enabled operating models that drive efficiency, clarity, and sustainable competitive advantage.
Guiding principles:
Her principle centers on building intelligent systems that create measurable value while maintaining equilibrium between people, technology, and purpose. She believes true competitive advantage emerges when AI is responsibly embedded into the cognitive and operational fabric of an organization, shaping how it thinks, decides, and acts.
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