Piyush Chandra

CEO

Seattle, Washington, United States15 yrs 6 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Led AI/ML transformation initiatives at GitHub and Amazon.
  • Generated over $1B in opportunities through AI products.
  • Built high-performing teams driving data-informed decisions.
Stackforce AI infers this person is a B2B data and analytics leader specializing in AI/ML transformation and business intelligence.

Contact

Skills

Core Skills

Data AnalyticsAi/ml TransformationOrganizational TransformationBusiness IntelligenceData Engineering

Other Skills

Data GovernanceEnterprise Analytics StrategyAI/ML Strategy & ImplementationTechnical Leadership & Team BuildingData ModelingBusiness AnalysisAI TransformationAI/MLLeadershipEngineering LeadershipCloud ComputingTechnical & Strategic Vision and DirectionArtificial Intelligence (AI)Machine LearningEnterprise BI Architecture

About

I am an experienced leader specializing in AI/ML transformation, product, data engineering, business intelligence, and analytics strategy, with a track record across multiple industries and domains. I currently serve as Senior Director, Revenue Data & Analytics at GitHub, where I lead data, analytics, and insights initiatives to drive revenue growth and enable data-informed decision-making at scale. My mission is to drive better business decisions using data and AI, and to deliver innovative products and solutions that enhance the customer experience and drive business results. I have built and managed high-performing and motivated teams who leverage advanced analytics and machine learning to generate insights and recommendations for sales and business leaders. I have also led the design and implementation of scalable and robust data architectures and platforms, and the integration of predictive analytics capabilities with existing systems and tools. I am passionate about team building, leadership, architecture, design, innovation, and strategy, and I strive to create a culture of excellence, collaboration, and learning.

Experience

15 yrs 6 mos
Total Experience
3 yrs 9 mos
Average Tenure
3 mos
Current Experience

Github

Senior Director, Revenue Analytics & Foundational Technologies

Jan 2026Present · 3 mos · Seattle, Washington, United States · Remote

  • CORPORATE PROFILE: GitHub is the world's leading AI-powered developer platform, owned by Microsoft, enabling over 180 million developers and businesses to build, scale, and ship software through collaborative tools, cloud infrastructure, and integrated AI capabilities.
  • RESPONSIBILITY PROFILE:
  • Lead global data, analytics, and product strategy initiatives across GitHub's enterprise and developer platform
  • Direct a team of 30+ across multiple geographies spanning both internal and customer-facing data and analytics functions
  • Oversee enterprise-wide data governance, quality, and compliance frameworks across GitHub's global platform
  • Spearhead AI-powered analytics and insights capabilities embedded across GitHub's product suite
  • Drive data-informed product development in close partnership with Engineering, GTM, and Business units
  • Lead architectural decisions for next-generation data and analytics infrastructure supporting GitHub's scale of 100M+ developers
Data GovernanceEnterprise Analytics StrategyAI/ML Strategy & ImplementationTechnical Leadership & Team BuildingData AnalyticsAI/ML Transformation

Amazon business

Global Head of Data, Analytics & AI Products

Jul 2022Jan 2026 · 3 yrs 6 mos · Seattle, Washington, United States · On-site

  • CORPORATE PROFILE: Amazon Business is a B2B marketplace and suite of tools and services offered by Amazon, designed to cater to the needs of businesses of all sizes.
  • RESPONSIBILITY PROFILE:
  • Lead global data, analytics, and AI transformation initiatives across Amazon Business
  • Direct a team of 40+ across multiple geographies
  • Oversee enterprise-wide data governance and compliance frameworks
  • Spearhead GenAI adoption and implementation across sales & account management functions at Amazon
  • Drive architectural decisions for next-generation AI/ML platforms
  • Lead cross-functional teams across Product, Engineering, and Business units
  • ACHIEVED IN THIS ROLE:
  • AI TRANSFORMATION & INNOVATION
  • Architected and launched comprehensive GenAI strategy
  • Achieved 20% YoY administrative time reduction for global sales teams
  • Uncovered $1B+ in insights using AI/ML products, converting $250MM+ in new opportunities
  • Launched an Automated Virtual Assistant to manage ~$500M territory autonomously
  • Achieved +80% adoption for most new AI tools within six months of launch
  • DATA INFRASTRUCTURE & GOVERNANCE
  • Built unified data foundations powering AI agents across petabytes of data
  • Established comprehensive data governance framework ensuring 100% compliance with DMA, GDRP, and more
  • Implemented data mesh architecture across organization for data sets
  • Created standardized metrics and data quality frameworks
  • PRODUCT INNOVATION
  • Led development of Spotlight, a Gen-AI solution reducing account preparation time from 45 to <1 minute
  • Integrated Salesforce Service Cloud with AWS Connect, delivering automated call analytics, transcription, summarization, and activity creation in Salesforce
  • Spearheading Sales Companion development, an multi-agent AI chatbot providing real-time LLM-powered insights
  • Implemented SmartAdvisor - an ML/AI based insights tool integrated in Salesforce to deliver account based insights to sales
Data ModelingBusiness AnalysisAI TransformationData GovernanceAI/ML TransformationData Analytics

Amazon

2 roles

Head of Data & Analytics, NA Consumer

Promoted

Sep 2020Jun 2022 · 1 yr 9 mos

  • CORPORATE PROFILE: Amazon North America (NA) Consumer represents the core retail business in North America through Amazon.com and related services.
  • RESPONSIBILITY PROFILE:
  • Led data and analytics strategy for Amazon's NA Consumer org
  • Directed analytics transformation programs across multiple business units
  • Oversaw expansion of Carpool center of excellence from Hardlines to NA Consumer
  • Managed relationships with VP-level stakeholders across retail categories
  • Led large-scale data infrastructure migrations and modernization efforts
  • Established data governance and standardization frameworks
  • Built and managed high-performing analytics teams across multiple locations
  • ACHIEVED IN THIS ROLE:
  • ENTERPRISE ANALYTICS EXPANSION
  • Successfully scaled Carpool BIaaS across entire NA Consumer organization
  • Expanded user base from 2,500 to 5,000+ users while maintaining performance
  • Standardized analytics practices across multiple retail categories
  • Created centers of excellence for key technical domains
  • Established enterprise-wide training and enablement programs
  • CROSS-ORGANIZATION INTEGRATION
  • Unified analytics platforms across retail categories
  • Standardized metrics definitions across business units
  • Created shared services model for analytics capabilities
  • Established cross-team collaboration frameworks
  • Implemented organization-wide best practices
  • STRATEGIC LEADERSHIP
  • Developed multi-year analytics roadmap for NA Consumer
  • Led strategic planning for technology investments
  • Established organizational structure for scaled analytics delivery
  • Created governance frameworks for enterprise-wide implementation
  • Built partnerships across business units
Data ModelingOrganizational TransformationData GovernanceData Analytics

Manager | Business Intelligence & Data Engineering

Jun 2017Sep 2020 · 3 yrs 3 mos

  • CORPORATE PROFILE: Hardlines is at the heart of retail at Amazon and are comprised of durable product categories from household goods and musical instruments to camping and sporting goods, automotive, consumer electronics, toys, and more. My team focuses on reporting, analytics, and facilitating high bandwidth conversations across teams and stakeholders.
  • RESPONSIBILITY PROFILE
  • Led creation and implementation of "Carpool" BI-as-a-Service (BIaaS)
  • Managed business intelligence and data engineering teams
  • Directed technical infrastructure modernization initiatives
  • Established foundational data governance frameworks
  • Built and scaled technical teams from ground up
  • ACHIEVED IN THIS ROLE:
  • Conceptualized and launched "Carpool"
  • Transformed manual Excel-based reporting using Tableau affecting 2,500+ users
  • Achieved 85% adoption rate and NPS over 70
  • Reduced analysis time by 3-5x across organization
  • Saved 220K+ hours annually through automation
  • Platform success led to promotion and enterprise-wide adoption
  • TECHNICAL FOUNDATION BUILDING
  • Led successful Oracle to Redshift migration for Hardlines
  • Achieved 40% performance improvement
  • Maintained 99.99% uptime during transition
  • Established automated testing frameworks
  • Created scalable architecture for future growth
  • TEAM DEVELOPMENT
  • Grew team from 3 to 18 members
  • Promoted key talent including IC to Manager
  • Established technical review processes
  • Created foundational training programs
  • Built high-performing engineering culture
Data ModelingBusiness AnalysisBusiness IntelligenceData Engineering

At&t

Associate Director | Big Data & Business Intelligence

Jan 2012May 2017 · 5 yrs 4 mos · El Segundo, CA

  • CORPORATE PROFILE: AT&T, a Fortune 10 telecommunications leader, provides communications and digital entertainment services to millions of customers.
  • RESPONSIBILITY PROFILE
  • Led enterprise BI architecture and development teams supporting corporate-wide analytics
  • Directed design and implementation of big data solutions across multiple business units
  • Managed relationships with business stakeholders and technology partners
  • Oversaw architectural governance and standards for BI implementations
  • Led cross-functional teams across data engineering, analytics, and business units
  • Established data design principles and best practices for enterprise-wide adoption
  • KEY ACHIEVEMENTS
  • Enterprise BI Transformation
  • Architected and implemented tool-agnostic data designs
  • Created self-service analytics capabilities for users across skill levels
  • Established architectural governance frameworks
  • Reduced dependency on technical teams for business reporting
  • Implemented standardized development practices
  • Created reusable components library for accelerated delivery
  • BIG DATA INNOVATIONS
  • Delivered operational big data solution for Supplier Payments
  • Reduced payment processing cycle time by 25%+
  • Created scalable architecture for growing data volumes
  • Established real-time monitoring capabilities
  • Achieved significant cost savings through process optimization
  • TECHNICAL AUTOMATION
  • Developed custom Cognos SDK solutions using Java
  • Automated migration of 30,000+ report artifacts
  • Reduced manual effort by several months
  • Created reusable automation frameworks
  • Implemented version control for BI assets
  • Established automated testing capabilities
  • TEAM LEADERSHIP
  • Built and led high-performing technical teams
  • Established clear career development paths
  • Created mentorship frameworks
  • Maintained high team retention rates
  • Fostered culture of innovation and continuous improvement
Data ModelingBusiness AnalysisBusiness IntelligenceData Engineering

E2o health

Co-Founder

Jan 2009Jun 2010 · 1 yr 5 mos · El Segundo, California, United States

  • Co-founded the company with the goal of helping physicians implement electronic medical records. Responsibilities include, but were not limited to, market research, customer segmentation, business plan development, go to market strategy, budgeting, forecasting and business development.
Leadership

Education

UCLA Anderson School of Management

MBA — Entrepreneurship

Malaviya National Institute of Technology Jaipur

BE — Computer Engineering

Stackforce found 100+ more professionals with Data Analytics & Ai/ml Transformation

Explore similar profiles based on matching skills and experience