Sreeharsha Naik
Sreeharsha Naik is a seasoned technology leader with over 15 years of experience architecting and delivering large-scale enterprise engineering solutions that drive transformative business impact. Currently serving as VP of Engineering at Impact Analytics, he leads a global engineering portfolio responsible for powering multimillion-dollar revenue growth across retail, manufacturing, supply chain, pharma, and CPG sectors.
Before joining Impact Analytics, Sreeharsha was a Principal at MathCo, where he spent over five years driving engineering innovation for Fortune 500 enterprises. In this role, he institutionalized data-driven decision-making, democratized enterprise tech stacks, and led a team of over 100 associates across geographies. He spearheaded initiatives to migrate legacy enterprises to modern data platforms like Databricks, Snowflake, AWS, GCP, and Azure, enabling better scalability, cost optimization, and enhanced data-driven insights. His work in building robust enterprise frameworks, cloud-native solutions, and MLOps pipelines delivered measurable business value, including significant cost savings, improved operational efficiency, and a threefold increase in purchasing impact for a leading tire manufacturer.
Earlier in his career, Sreeharsha held senior engineering roles at Cognizant, Mphasis, and IBM, where he specialized in high-performance database administration, enterprise-scale system engineering, and mission-critical platform optimization. Over the years, he has successfully led large teams, designed scalable systems, and built enterprise-grade data engineering solutions across industries, with a strong focus on reliability, performance, and impact.
Known for his deep expertise in distributed systems, cloud engineering, enterprise software, and data platforms, Sreeharsha thrives on solving complex engineering challenges and delivering scalable, future-ready solutions.
Sreeharsha Naik
Trusted by Leading Companies
In our clients’ own words
“Our partnership with Impact Analytics and the AI tools that we have at our disposal now really make possible the kind of leapfrogging of capabilities that we want.”
“We landed on Impact Analytics for 3 core reasons: culture, technology, and an intuitive interface that was easy to adopt.”
“We look forward to arming our internal teams with better, more efficient ways to process data, like MondaySmart. They can now synthesize what would have taken hours of meetings and shuffling through lots of financial reports into a succinct AI-powered dashboard and so much more in terms of inventory management and merchandising assortment.”
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