Kaleb Thompson
Product-minded data & AI leader
Product-minded data and AI leader with 11+ years building and running the data and AI function at enterprise scale in regulated industries. Five promotions in eleven years at a Fortune 1000 natural-gas utility — analyst to head of the data organization — where I built and led a team of 12–14, owned a $3M+ budget, and architected a 40-person, three-pod data and AI organization spanning data science, data engineering, and data product management. I set the strategy and still ship the platforms myself.
Experience
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Principal Architect & Head of Data Engineering · Confidential
2026 – PresentLeading platform architecture and the data-engineering function. (Employer confidential for now.)
Architecture Data Engineering Leadership -
Principal AI Architect · ONE Gas
2025 – 2026Tulsa, OK
Sole AI and data architect for the enterprise, reporting to the Chief Data & AI Officer. Architecture lead across data and AI for five business units, 20+ AI initiatives, and a $1–2M annual portfolio.
- Architected a 40-person, three-pod data & AI organization — data science, data engineering, and data product management — that consolidated under the Chief Data & AI Officer.
- Built an autonomous LLM agent (Claude / GPT-4) that refactors SQL Server stored procedures, views, and T-SQL into Snowflake SQL + dbt models — 100+ objects at 85%+ accuracy, cutting per-object migration from weeks to hours.
- Shipped production GenAI: a Safety Copilot scaled from 300 to 2,000+ field users and a legislative risk-analysis tool that cut analysis time 70%, plus enterprise RAG over SharePoint and SQL sources.
- Built a real-time mixed-integer-programming dispatch optimizer for 200+ field technicians, improving emergency SLA from ~50% to 67%+.
- Replaced a $250K/yr Gartner advisory product with a custom internal AI intake & innovation platform (React, Tailwind, Valkey, Argo CI/CD, GHCR).
- Led a $200K cloud-AI vendor evaluation (Azure AI Foundry vs. AWS Bedrock) and set enterprise reference architectures for LLM orchestration, agents, and RAG.
Applied AI LLMs / RAG MLOps Architecture -
Head of Enterprise Data & Analytics (Senior Manager) · ONE Gas
2022 – 2025Tulsa, OK
Owned the company's data strategy, engineering, and science programs across all business lines. Grew the team to 12–14 and managed a $3M+ budget.
- Built the Snowflake + dbt platform from scratch with CI/CD, Git workflows, and DataOps adopted as the enterprise baseline — 90% improvement in analytical workload execution vs. on-prem SQL Server.
- Replaced batch ETL with sub-second CDC streaming from Oracle and SQL Server into Snowflake via Qlik Replicate, saving ~$300K/yr.
- Delivered 30+ enterprise data products and stood up a Power BI Center of Excellence that cut time-to-insight 60%.
- Reclassified Snowflake spend as Direct Materials to enable CapEx treatment of development costs (OpEx → CapEx).
Data Platform Snowflake / dbt Leadership Governance -
Manager, Data Science & Analytics · ONE Gas
2019 – 2022Tulsa, OK
Led the data-science function and its production ML portfolio; built and led a cross-functional team of engineers and scientists.
- Built RADAR, a pipeline-strike prediction model (Python, scikit-learn, MLflow, 811 tickets + GIS) that outperformed a $1M/yr vendor at under $100K — leading to a new Damage Prevention department.
- Deployed Azure Databricks as the company's first cloud ML environment.
- Shipped Payment Pathways, an ML model scoring bill-pay risk to improve collections recovery.
Machine Learning MLOps Optimization -
Lead Data Scientist / Data Engineer · ONE Gas
2015 – 2019Tulsa, OK
Founded the organization's data-science practice and built its first cloud ML capability.
- Shipped a meter-read exception classifier that reduced manual review 60% (~$40K/yr), rolled out humans-in-the-loop to earn operator trust.
- Built predictive capital-project estimators that reduced budgeting variance 10–20%.
- Delivered field-technician route optimization saving 500+ hours/yr.
Machine Learning Python Azure Databricks -
Data Analyst · NRG Energy (Direct Energy)
2014 – 2015Tulsa, OK
Reconciled billing and revenue data across 20+ utility partners.
- Recovered $1M+ in missed revenue across 20+ utility partner datasets via SQL reconciliation.
- Led the transition of transaction-management operations from Toronto to Tulsa.
SQL Analytics
Skills
AI & GenAI
- LLMs in production (Claude, GPT-4)
- RAG & agents
- Prompt engineering
- Hugging Face
- AI governance
ML & MLOps
- scikit-learn, XGBoost
- MLflow, Databricks ML
- Model registry & monitoring
- Mixed-integer programming (PuLP)
Data Platforms & Cloud
- Snowflake
- dbt
- Databricks
- Azure (AI Foundry, ADF, DevOps)
- AWS (Bedrock)
- Qlik Replicate (CDC)
Languages
- Python
- SQL
- R
- PowerShell
- Bash
Architecture & Modeling
- Medallion architecture
- Kimball star schemas
- RBAC
- Data governance
- Semantic layer
Leadership
- Team building & org design
- Budget ownership ($3M+)
- Vendor evaluation & RFPs
- Executive stakeholders
Education
M.S. Business Analytics & Data Science
Oklahoma State University · Graduate Certificate in Data Mining
B.S. Business Administration (Finance)
Oklahoma State University
Speaking & Leadership
Speaker & Panelist
Utility Analytics Institute (UAI)
Spoke at UA Week in San Diego, and served on UAI panels.
Community Lead — Natural Gas Analytics Community
Utility Analytics Institute (UAI)
Corporate Advisory Board Member
M.S. Business Analytics & Data Science, Oklahoma State University
Toastmasters
Tulsa City-County Library chapter