Mohan Goyal

About Mohan Goyal

I build cloud-native data and AI platforms that accelerate product velocity and unlock intelligent features at scale (Reducing Product experimentation lead time from 9 months to one week).Over the past 7+ years at Anywhere Real Estate, I have led the transformation of the company’s data platform across three architectural generations — evolving from legacy systems to a modern, cloud-native, AI-enabled foundation on AWS, Snowflake, and Kafka.I owned the definition of enterprise data models and a single source of truth for master data, reference data, and KPIs — eliminating fragmentation and enabling consistent analytics, AI, and executive decision-making.Today, the platform manages 1.5PB+ of data across datasets (tables), supports 100K+ users (agents, brokers, corporate users), and powers production AI embedded directly into business workflows.My focus is platform strategy — not just infrastructure.That has included:* Designing cloud-native architecture for scale, governance, and zero-downtime reliability* Defining enterprise data models and KPI standards that align business and technology* Establishing data foundations that enable AI adoption at a production scale* Scaling a 34-person engineering organization with clear leadership pathways* Delivering $2M+ in cumulative cost optimization while doubling platform capacity* Aligning platform investments with executive-level business outcomesUnder this architecture, the organization processes thousands of AI-driven interactions daily, supports executive decision-making across brokerage and franchise operations, and enables analytics products used by tens of thousands of agents nationwide.I operate at the intersection of architecture depth, capital efficiency, and organizational scale — building platforms that are resilient, adaptable, and AI-ready.I’m interested in building the next generation of AI-enabled platforms at companies where data and AI are strategic differentiators — and where platform decisions shape competitive advantage for years to come

Experience

1. Senior Director, Data Platform & Ai

   Anywhere Real Estate Inc

   Aug 2018 — Present · Emeryville, CA, US

   Own enterprise data and AI platform strategy, architecture, and organizational scale across a $6B public company.* Built a unified data foundation that enabled rapid experimentation, AI feature development, and real-time product insights.* Defined and implemented enterprise data models, establishing a governed single source of truth for master data, reference data, and business-critical KPIs across brokerage, agent, listing, and financial domains.* Standardized KPI definitions and semantic layers to align executive reporting, analytics, and AI use cases — eliminating metric fragmentation and enabling consistent decision-making across agents and offices.* Led three architectural generations transforming legacy on-prem systems into a modern cloud-native data and AI platform (AWS, Snowflake, Kafka), managing 1.5PB+ of data and datasets.* Architected a scalable governance framework (RBAC, row-level security, lineage, observability), balancing enterprise compliance with self-service analytics and AI adoption.* Established production AI enablement strategy embedding ML and LLM-driven capabilities directly into operational workflows, processing thousands of AI interactions daily.* Scaled engineering organization from 0→34 across Data Infrastructure, Enterprise Data, and Platform Operations with $8M annual budget responsibility.* Delivered $2M+ in cumulative cost optimization while doubling platform scale and maintaining enterprise-grade zero-downtime standards.* Evaluating data, selecting data partners, and managing data vendors such as Attom, Precisely, Core Logic, Melissa Data, etc, to buy third-party data.* Evaluating Technologies, selecting and managing technology vendors such as AWS, Snowflake, MongoDB, ThoughtSpot, and Ataccama.

Education

• MBM Engineering College Jodhpur

  Bachelor's degree, Engineering

  1992 — 1996

• Indian Institute of Science (IISc)

  Master's degree, Engineering

  1997 — 1999

Skills

• Android Development
• Sqoop
• Cloudera Platform
• Project Management
• Sdlc
• Apache Pig
• Negotiation
• Hive
• Tortoise Svn
• Scala
• Hudson
• Spring Framework
• Spark
• Html 5
• Ios Development
• Offshore Management
• Solr
• Xml
• Rest
• Spring
• Hbase
• Lucene
• Subversion
• Mysql
• Distributed Systems
• Engineering Management
• Linux
• Hibernate
• Cloud Computing
• Oozie
• Team Leadership
• Distributed Team Management
• Agile Methodologies
• Team Building
• Hadoop
• Crucible
• Ant
• Maven
• Java
• Hortonworks