The person behind Juvorix
Kiran Sattiraju founded Juvorix to bring something rare: senior advisory that combines deep technical knowledge of data and AI with the product, commercial, and go-to-market instincts that turn strategy into measurable outcomes.
Over 25 years across IBM, Informatica, ClearStory Data (acquired by Alteryx), Intuit, Salesforce, and Tredence, the career spans every layer of the data stack. Few practitioners own more than one.
At IBM, the work was at the Foundation layer — data infrastructure, portfolio strategy, and the co-innovation partnerships that shaped enterprise data management, including the Cognos alliance that contributed to a $5B acquisition. At ClearStory Data and Intuit, the work moved up into Analytics & Intelligence — leading product for platforms focused on data harmonisation, discovery, and financial data intelligence, earning a Gartner Magic Quadrant Visionary debut and scaling to ~4M daily API requests. At Informatica, the focus was on the Integration & Transformation layer — building the company's Azure ecosystem from the ground up across data lakes, warehouse modernisation, ingestion, quality, and governance, and launching the first cloud data integration offering on the Azure Marketplace, earning Microsoft Azure Partner of the Year. At Salesforce, the work reached the Platform Innovation & Scale layer — shipping the Migration Assistant that cut migration effort by up to 50%, and modernising certifications and Trailhead learning paths across Industry Clouds. At Tredence, the focus shifted to Client Advisory — leading data engineering practices directly with clients across Azure, GCP, Snowflake, and Databricks, and spearheading the effort that earned Tredence recognition as a Specialized GCP Services Partner (Data Analytics).
At IBM, the work was at the Foundation layer — data infrastructure, portfolio strategy, and the co-innovation partnerships that shaped enterprise data management, including the Cognos alliance that contributed to a $5B acquisition.
At ClearStory Data and Intuit, the work moved up into Analytics & Intelligence — leading product for platforms focused on data harmonisation, discovery, and financial data intelligence, earning a Gartner Magic Quadrant Visionary debut and scaling to ~4M daily API requests.
At Informatica, the focus was on the Integration & Transformation layer — building the company's Azure ecosystem from the ground up across data lakes, warehouse modernisation, ingestion, quality, and governance, and launching the first cloud data integration offering on the Azure Marketplace, earning Microsoft Azure Partner of the Year.
At Salesforce, the work reached the Platform Innovation & Scale layer — shipping the Migration Assistant that cut migration effort by up to 50%, and modernising certifications and Trailhead learning paths across Industry Clouds.
At Tredence, the focus shifted to Client Advisory — leading data engineering practices directly with clients across Azure, GCP, Snowflake, and Databricks, and spearheading the effort that earned Tredence recognition as a Specialized GCP Services Partner (Data Analytics).
He holds an MS in Industrial & Systems Engineering from Arizona State and an MBA from UC Berkeley's Haas School of Business.
Most data and AI advisory comes from one side or the other — the technologist who can't translate to the business, or the strategist who can't read the architecture. Juvorix closes that gap.