Kanerika names new delivery chief as it expands AI and security partnerships

Kanerika has appointed Dheeraj Garg as chief delivery officer as the data and AI consulting firm expands its delivery, product and security functions. The move comes as Kanerika builds out its Microsoft, Databricks, Snowflake and OpenAI partnerships and prepares for a bigger push in Europe.

Why it matters: - Kanerika is trying to turn more AI pilots into production systems for enterprise clients. - The new role is meant to strengthen delivery quality as the company scales its engagement models and partnerships. - The leadership changes also signal a broader push across product, security and go-to-market execution.

What happened: - Kanerika named Dheeraj Garg chief delivery officer, effective August 2026. - Garg reports directly to CEO and Co-founder Samidha Garud. - The appointment is part of a wider leadership expansion as Kanerika grows its delivery, product and security functions. - Kanerika also added Sudeep Nigam as senior delivery leader in May 2026. - Lalit Rawat joined as chief information security officer in November 2025.

The details: - Garg brings 29 years of delivery and digital transformation experience. - His background spans banking and financial services, telecom, analytics, government and enterprise services. - He has held CIO, CTO and senior delivery leadership roles at IGT Solutions, SG Analytics, The Smart Cube, Infosys and GE Capital. - At Kanerika, Garg will oversee delivery governance and execution quality across engagement models. - Garg will also scale the FLIP product organization and run the PMO function. - He will build Kanerika’s AI-led Forward Deployment Engineering practice, which is focused on moving AI pilots into production. - Kanerika is deepening its presence across the Microsoft, Databricks, Snowflake and OpenAI ecosystems. - The company holds three Microsoft Solutions Partner designations in Data & AI, Digital & App Innovation and Infrastructure. - Kanerika has joined the OpenAI Partner Network. - Everest Group named Kanerika a Major Contender in the Microsoft Azure Services PEAK Matrix 2026. - The company maintains ISO 9001:2015, ISO 27001 and ISO 27701:2019 certifications, SOC 2 Type II compliance and a CMMI Level 3 appraisal. - Nigam spent more than 26 years at Oracle and most recently led SaaS production engineering and operations across a $108 million ARR portfolio in JAPAC and EMEA. - Rawat is an eight-year Microsoft Azure MVP, authored two books on Azure and has delivered more than 1,000 training sessions. - Rawat has also spoken recently on securing generative AI within Microsoft 365 Copilot. - Kanerika has added senior leaders in platform product management, alliance management, business analysis, engineering and its data center of excellence over the past six months. - Kanerika is headquartered in Austin, Texas and works with Fortune 500 and large enterprise clients across banking, manufacturing, retail and logistics.

Between the lines: - The company is pairing delivery leadership with security and alliance hires, suggesting a push to operate more like a scaled enterprise services provider. - The emphasis on Forward Deployment Engineering shows Kanerika wants to close the gap between AI experimentation and deployment at customer sites. - The partnership and certification stack gives Kanerika a stronger pitch in regulated industries that need proof of process maturity. - Garug's hire also aligns with a wider shift toward outcome-based delivery, where execution discipline can matter as much as technical capability.

What's next: - Kanerika plans to build on the leadership expansion at FabCon Europe in Barcelona this September. - The company expects to grow its presence across European and neighboring markets with FLIP, its migration accelerator suite, and its enterprise AI agents. - Further expansion in delivery, product and security functions appears likely as Kanerika scales its partner ecosystem.

The bottom line: - Kanerika is betting that stronger delivery leadership will help it convert more enterprise AI work into repeatable, production-grade business.