Subbu Viswanathan

CEO

United States30 yrs experience
AI ML PractitionerAI Enabled

Key Highlights

  • Led global data teams of 50+ professionals.
  • Generated $100M+ in incremental annual revenue.
  • Earned a U.S. Patent for AI-driven document processing.
Stackforce AI infers this person is a SaaS Data and AI Transformation Leader with extensive experience in cloud modernization and data engineering.

Contact

Skills

Core Skills

Data EngineeringAi & Genai LeadershipCloud ModernizationPredictive AnalyticsMlops GovernanceData ScienceDigital TransformationLeadershipAgile Transformation

Other Skills

Data Build Tool (DBT)IT StrategyOffshore ManagementAirflowAgile Enterprise DeliveryArchitectureAmazon Web Services (AWS)Python (Programming Language)Google BigQueryGlobal Team LeadershipRevenue OptimizationData Platform ArchitectureBudget ManagementExecutive Stakeholder AlignmentSnowflake

About

As an Executive Data and AI Transformation Leader, I bring 25+ years of technology leadership and 10+ years building and scaling high-impact global data engineering and data science organizations. I partner with executive teams to modernize enterprise platforms, accelerate cloud strategy, and convert data into a strategic growth engine. My focus is clear: deliver measurable revenue expansion, margin improvement, and operational scale through advanced analytics and generative AI. I lead and build organizations that not only adopt AI but also operationalize it to create sustained competitive advantage. Key Achievements Include- ✅ Scaled global data organizations to 50+ professionals and managed portfolios up to $10M, building and leading high-performing data science/engineering teams across North America and India ✅ Reduced Cloud OpEx 90% by re-architecting Title Process Automation from Azure Form Recognizer to Gemini multimodal LLMs, improving document extraction accuracy to 98%+ and decreasing latency by 75%+ while eliminating manual retraining cycles ✅ Generated $100M+ in incremental annual seller revenue by designing predictive auction and digital assistant ML models that reduced valuation error 60% and optimized real-time pricing decisions ✅ Improved reporting performance 50% by leading enterprise cloud data warehouse migrations from on-premise to Azure Synapse and BigQuery, while projecting 30% annual infrastructure cost savings ✅ Reduced manual AI oversight 60% and increased model accuracy 30% by designing and operationalizing an enterprise MLOps framework with automated drift monitoring and retraining ✅ Earned U.S. Patent US11232298B1 for Automated Data Extraction and Document Generation, recognizing innovation in AI-driven document processing Contact me through this profile.

Experience

30 yrs
Total Experience
5 yrs
Average Tenure
--
Current Experience

Independent

Independent

Jan 2026Present · 3 mos · Greater Chicago Area · Hybrid

Data Build Tool (DBT)IT StrategyOffshore ManagementAirflowAgile Enterprise DeliveryDigital Transformation+22

Rb global inc.

Director, Data Engineering & Data Science

Jan 2023Jan 2025 · 2 yrs · Greater Chicago Area · Hybrid

  • Led a 50+ member global Data Engineering and Data Science organization across North America and India, managing a $10M portfolio and defining the multi-year enterprise data, AI, and cloud modernization roadmap in partnership with VP and senior leadership.
  • Stabilized enterprise reporting and improved data reliability by migrating legacy SQL data warehouse workloads to Google BigQuery, enhancing performance, scalability, and analytics delivery for executive decision-making.
  • Projected 30% annual infrastructure savings by defining and leading a strategic Snowflake migration roadmap supported by complex TCO modeling and cross-functional architectural planning.
  • Reduced Cloud OpEx 90% by re-architecting Title Process Automation from Azure Form Recognizer to Gemini multimodal LLMs, improving document extraction accuracy to 98%+ and decreasing latency by 75%+ while eliminating manual retraining cycles.
  • Generated $100M+ in incremental annual seller revenue by designing predictive auction and digital assistant ML models that reduced valuation error 60% and optimized real-time pricing decisions.
  • Achieved 99.9% system availability by implementing enterprise-grade disaster recovery and resiliency frameworks, strengthening compliance, uptime, and business continuity across critical data platforms.
  • Reduced manual model oversight 60% and increased model accuracy 30% by establishing a scalable enterprise MLOps framework with automated drift monitoring, retraining pipelines, and governance controls, while leading a Generative AI Proof of Concept using RAG and MCP architectures to modernize internal assistants.
Data Build Tool (DBT)IT StrategyOffshore ManagementAirflowAgile Enterprise DeliveryDigital Transformation+21

Iaa

2 roles

Director, Application Development & Data Platforms

Promoted

Jan 2016Jan 2023 · 7 yrs · Greater Chicago Area · On-site

  • Led a global organization of 30-50 professionals with $6M portfolio ownership, reporting directly to the CIO and overseeing enterprise ERP, Data Warehouse, BI, and the establishment of IAA’s first in-house Data Science function.
  • Modernized enterprise data infrastructure by migrating from on-prem warehouse to Azure Synapse, improving execution times 50%.
  • Migrated 1.2K+ datasets and 200+ dashboards to Power BI, democratizing data access and enabling self-service analytics across the organization while establishing a scalable data governance framework.
  • Built and scaled IAA’s first internal Data Science team, transitioning from vendor-dependent analytics to a high impact in-house capability aligned to revenue and operational strategy.
  • Increased revenue 20% by designing and deploying predictive vehicle valuation and starting bid models.
  • Improved underwriting and valuation accuracy through Azure AI and Computer Vision, implementing vehicle damage severity scoring as a core input into predictive pricing algorithms.
  • Doubled user engagement by launching a personalized ML recommendation engine processing 100M+ daily recommendations.
  • buyer experience and drive marketplace activity.
  • Directed the Automated Salvage Auction Process (ASAP) ERP platform supporting 200+ branches, ensuring stability and scalability for a business-critical system processing millions of vehicle transactions annually.
IT StrategyWeb DevelopmentSolution ArchitectureOffshore ManagementAgile Enterprise DeliveryDatabases+9

Application Development Manager

Jan 2003Jan 2010 · 7 yrs · Greater Chicago Area · On-site

  • Spearheaded the end-to-end design and development of IAA's mission-critical auction management systems, replacing complex legacy ERP frameworks with modern, scalable web platforms to support international buyer and seller ecosystems.
SDLC

Sogeti

Senior Manager, Delivery & Architecture

Jan 2010Jan 2016 · 6 yrs · Greater Chicago Area · On-site

  • Scaled offshore engineering organization from 5 to 45 consultants within 24 months, leading a $3M delivery portfolio supporting IAA and establishing a high-performance global delivery model.
  • Reduced project turnaround time 25% by driving Agile transformation across distributed teams, improving execution velocity, collaboration, and delivery predictability.
  • Increased buyer traffic 75% by leading the end-to-end redesign and architectural modernization of the Auction Center portal, enhancing user experience and platform scalability.
  • Expanded digital revenue capabilities by launching I-Pay and Buy Now enhancements, while building trusted executive relationships with client stakeholders to drive sustained engagement and portfolio growth.
IT StrategyWeb DevelopmentSolution ArchitectureOffshore ManagementAgile Enterprise DeliveryDatabases+10

Sei information technology

Senior Systems Analyst

Jan 1998Jan 2003 · 5 yrs · Greater Chicago Area · On-site

  • Leveraged deep technical expertise to build mission-critical applications across diverse sectors, from high-volume digital marketing platforms for CoolSavings to precision life-science diagnostic systems for Nycomed Amersham
SDLC

Cognizant

Senior Associate

Jan 1995Jan 1998 · 3 yrs · Greater Chicago Area · On-site

  • Engineered core Price and Product management systems for AC Nielsen, developing high-performance applications to process and analyze global retail data.
SDLC

Education

University of Madras

Bachelor of Engineering — Computer Science

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