Enterprise AI & Data · Microsoft

PoojaMuttreja

20 years building at the intersection of data, AI, and enterprise strategy. I design the foundations that make AI trustworthy, then build the AI on top. Currently advising 100+ enterprise organizations at Microsoft across retail, finance, healthcare, and manufacturing.

$20M+ annual revenue driven at Microsoft
1PB+ data platforms built at scale
150+ global markets reached with AI
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Pooja Muttreja

Technology Advisor & Architect
Microsoft · Cambridge, Massachusetts

Writing

Points of View

Agentic AI Scale
September 2026 · 3 min read

AI Agents in Production: Why 86% of Pilots Never Scale

78% of enterprises have an agent pilot. Only 14% have scaled one to production. The failure pattern is consistent and architectural.

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Retail Operational AI
September 2026 · 3 min read

Retail Stores Have the Data. Nobody Has the Full Picture.

87% of retailers say AI has already improved revenue. The investment is not the question. The question is whether the architecture delivers cross-domain intelligence or just faster dashboards.

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AI Data Access
August 2026 · 2 min read

The Analyst Bottleneck Is a Design Problem

Analysts are not slow. The demand for answers grows faster than the supply of people who can retrieve them. That is a structural problem — and it has a structural fix.

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Data Platforms Architecture
July 2026 · 3 min read

The Real Reason Your Data Platform Costs Keep Climbing

Organizations waste $195 billion annually on idle cloud infrastructure. The standard response when the bill spikes is still to buy more capacity. It is the wrong fix almost every time.

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Data Engineering Pipelines
August 2026 · 3 min read

The Pipeline Decision That Comes Back to Haunt You

Every data platform has a pipeline someone built in a hurry. Full refresh, ships fast, works fine at 50GB. At 5TB it becomes the thing the on-call rotation has a name for.

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Architecture AI Engineering
September 2026 · 6 min read

Building an AI-Ready Data Platform: Architecture and the Decisions That Matter

A hands-on walkthrough of the medallion lakehouse pattern, multi-agent orchestration over a governed data layer, and the three design decisions that determine whether the platform holds up under real AI workloads. With architecture diagrams and Microsoft reference implementations.

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Expertise

What I work with

Generative AI & LLMs
Agentic Systems
Cloud
Data Architecture
ML & Analytics
Engineering
Leadership

Generative AI & Large Language Models

Production LLM deployment at enterprise scale, managing latency, cost per request, token budgeting, state management, and observability across retail, healthcare, finance, and manufacturing.

Large Language Models LLM Operations Prompt Engineering RAG Generative AI Copilot Solutions Intelligent Chatbots Content Generation Model Evaluation Model Monitoring

Agentic AI Systems

Production multi-agent systems using ReAct loops, self-reflection, and hierarchical agent delegation, built with LangGraph, CrewAI, and ADK across Azure, GCP, and AWS.

LangGraph CrewAI ADK ReAct Multi-agent Systems Hierarchical Delegation Self-reflection Patterns Semantic Kernel AutoGen Azure AI Agent Service Amazon Bedrock Agents

Cloud & Infrastructure

20+ Microsoft Azure certifications. Deep AWS and GCP practice. Built at 1PB+ scale across all three clouds. Experienced in FinOps, multi-cloud governance, and migrations 50% faster than industry benchmarks.

Microsoft Azure
Azure AI Foundry Microsoft Fabric Azure OpenAI Service AKS Azure Data Factory Azure Synapse Azure DevOps Azure Monitor Entra ID Azure Storage Azure Communication Services Copilot Studio
AWS
Amazon Bedrock Amazon Bedrock Agents AWS Lambda Amazon S3 Amazon Redshift
Google Cloud
Vertex AI Google BigQuery Google Cloud Run Looker
Cross-cloud
Multi-cloud Governance Cloud Migration FinOps DevOps · CI/CD Kubernetes

Data Architecture & Platforms

Where I've spent the most time. Designed enterprise data platforms from the ground up: lakehouse systems, real-time pipelines, and governance frameworks that teams actually adopt. The data foundation that makes AI trustworthy.

Patterns
Lakehouse Architecture Data Architecture Enterprise Architecture Delta Lake Medallion Architecture Data Warehousing
Platforms
Microsoft Fabric Azure AI Foundry Databricks Snowflake Google BigQuery Azure Data Factory PostgreSQL Informatica ETL
Governance & Strategy
Data Governance Data Strategy Data Maturity Assessment Real-time Pipelines Data Lineage ETL / ELT

Machine Learning & Analytics

MIT-trained in ML for big data. Applied supervised, unsupervised, and reinforcement learning across retail forecasting, customer personalization, and NLP. Built forecasting systems deployed across 150+ markets.

Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning MLOps Trend Forecasting Power BI Tableau Looker Alteryx

Engineering

Hands-on builder with deep engineering roots. Writes Python, PySpark, and SQL. Designed distributed systems at enterprise scale. Led teams through full delivery: architecture, coding, DevOps, CI/CD.

Python SQL PySpark Apache Spark Kubernetes DevOps CI/CD Distributed Systems React

Leadership & Strategy

Scaled global teams 5x to 20 professionals. Led 60+ experts across three continents. Managed a $32M strategic pipeline. Harvard-trained in General Management. UPenn-certified in Executive Presence.

Executive Advisory C-level Communication Technology Strategy Technology Roadmapping Revenue Leadership Global Team Leadership Vendor Management Management Consulting

Experience

Career

Microsoft
2018 – Present
Cambridge, MA

Technology Advisor & Architect

  • Advised 100+ enterprise brands, translating executive vision into data and AI outcomes.
  • Designed lakehouse architectures on Microsoft Fabric and Azure AI Foundry handling 1PB+ data and billions of daily events.
  • Led migrations 50% faster than industry average, reducing downtime 75%, 75%, compressing time-to-insight from days to 90 minutes.
  • Architected solutions that tripled Retail Azure revenue from $250M to $700M.
  • Built production GenAI systems using LangGraph, CrewAI, ADK, and ReAct patterns.
  • Drove $20M+ in FY26 annual revenue and managed a ~$32M strategic pipeline.
  • Deployed AI trend forecasting enabling a global beauty brand to reach 150+ markets in minutes instead of weeks.
Boston Consulting Group
2015 – 2018
Boston, MA

Senior Manager

  • Scaled the Analytics business 20x and a global architecture team 5x to 20 professionals across the US, Europe, and India.
  • Led 60+ global experts, built a knowledge community of 230+ members, reduced vendor costs 15%.
  • Designed technology blueprints and repeatable delivery frameworks adopted across BCG's global network.
Infosys & TCS
2006 – 2015
India & Singapore

Technology Consultant & Enterprise Architect

  • Delivered end-to-end solutions across Retail, Finance, Healthcare, and Manufacturing over nearly a decade.
  • Translated complex enterprise challenges into scalable Cloud, Big Data, AI/ML, and analytics solutions.

Education

Academic & Certifications

2016
Harvard University
Master's · General Management
2012
Boston University
Master's · Computer Engineering
2006
Manipal University
Bachelor's · Computer Science and Engineering
2023
Wharton, University of Pennsylvania
Women on Boards – Building Exceptional Leaders
2023
Wharton, University of Pennsylvania
Executive Presence & Influence: Persuasive Leadership Development
2018
Harvard University
Business Analytics
2017
Massachusetts Institute of Technology
Machine Learning for Big Data and Text Processing
Certifications
Microsoft Azure (20+)
Azure Solutions Architect Expert · Azure AI Engineer Associate · Azure Data Engineer Associate · Azure Administrator Associate · Azure Developer Associate · Azure Security Engineer · Azure DevOps Engineer Expert · and more
AWS
AWS Certified Solutions Architect
Recognition
Microsoft Acceleration of Time to Value, 2023 · BCG Collaboration Champion

Let's connect

Ready to build something that matters?

Cambridge, Massachusetts · poojamuttreja@gmail.com

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