Aman Taneja

About Aman Taneja

Leads end-to-end Data & AI Platform organizations—Data Platform, ML/AI Platform, Data Engineering, Data Analytics, GenAI, Big Data, and AI Lakehouse—with a clear mandate: make data quality, reliability, and trust foundational across the enterprise.Sets the strategic vision and execution model that transforms fragmented data into governed, high-leverage datasets and data products powering analytics, machine learning, experimentation, and AI-driven experiences. Builds the platform capabilities that enable scale: ingestion and transformation standards, observability and reliability, and a semantic foundation that ensures consistency from dashboards to natural-language querying.

Experience

1. Senior Director - Enterprise Data Platform and Analytics

   Nutanix

   Aug 2023 — Present · San Jose, CA, US

   Set enterprise direction for the AI lakehouse and data platform, aligning investments to business priorities and outcomes.Own the build-and-operate model for the core data platform using lakehouse patterns, with modern engineering practices (deployment discipline, observability, and operational readiness).Lead a multi-discipline organization across Data Engineering, BI/Analytics, Governance/Stewardship, MDM, and DataOps/DBA with clear ownership, operating cadence, and delivery accountability.Run a portfolio roadmap across domains; drive prioritization, capacity planning, and executive reporting tied to outcomes.Establish the data products operating model (intake → build → certify → adopt) so teams ship reusable datasets, consistent definitions, and scalable pipelines that accelerate decisions.Modernize platforms by continuously evaluating emerging technology and open-source options, and applying best-fit solutions to reduce manual work and improve speed, reliability, security, and cost.Lead GenAI / Generative BI enablement for business data by strengthening the grounding layer—semantic/metrics definitions, certified datasets, governed access, and evaluation/quality gates—so conversational analytics is dependable.Build durable trust mechanisms: certification tiers, stewardship ownership, data quality scorecards, and transparent data health for data at rest and in motion.Develop leaders and sustain motivation through coaching, recognition, career paths, and technical forums that raise standards and performance over time.Own vendor strategy and value narrative (build vs buy, renewals, rationalization) to keep the ecosystem modern and aligned to enterprise needs.

Education

• Birla Institute of Technology and Science, Pilani

  MS, Software Systems

  2000 — 2002