Lumen Technologies • Denver, CO

Founding leader of Lumen's Data Science organization — built from the ground up into a trademarked capability ('FinanceIQ') recognized for groundbreaking research in classification analysis and AI-driven financial intelligence. A hands-on research scientist and executive who personally writes production Python, SQL, and R code; designs and deploys ML models; architects AI agent systems; and governs a modern data platform spanning columnar databases, vector database extensions, and Palantir Foundry — while owning enterprise data platform strategy, governance, and C-suite partnership for a global telecommunications organization. • Built and lead a global, multi-region AI Data Engineering organization spanning the United States, Poland, Argentina, and India — managing distributed teams across four countries and three continents, navigating diverse regulatory environments (U.S., EU/GDPR, LATAM, APAC) while maintaining unified engineering standards, delivery cadence, and data governance practices. • Designed and operated enterprise columnar database environments over ten years — governing analytical workloads across Vertica, Google BigQuery, Amazon Redshift, and Snowflake, optimizing query performance, cost efficiency, and analytical throughput for high-volume financial and operational data at enterprise scale. • Implemented and operationalized vector database capabilities over five years using native extensions from Google BigQuery, Snowflake, MongoDB, and PostgreSQL — enabling semantic search, similarity retrieval, and embedding-based analytical workflows that power AI agent knowledge retrieval and LLM-grounded analytics across the enterprise. • Architected and operated Palantir Foundry and Ontology environments over two years — building semantic data models, ontology-driven data pipelines, and Foundry-native analytics applications that connect enterprise data assets into a unified, governed, and queryable knowledge layer for operational and executive decision-making. • Architected and deployed enterprise AI customer service agents over four years — building 'Chat With Your Data' systems with backend integration connecting 4 quoting systems, 16 ordering systems, and 8 billing systems into a unified intelligence layer, enabling agents to surface actionable insights and create tasks autonomously in Salesforce, Gainsight, and other peripheral systems. • Designed and deployed production LLM-based agent workflows using OpenAI, Anthropic (all model versions), Google, and Microsoft Copilot — evaluating commercial and open-source model ecosystems for enterprise suitability, conducting comparative benchmarking, and operationalizing models within governed, production-grade data environments. • Personally designed and coded advanced ML models in Python, SQL, and R — including custom ARIMA/SARIMA time series forecasting systems, probabilistic forecasting using Monte Carlo simulation, categorical data analysis using likelihood statistical methods, and classification models for customer, product, and price cluster analysis. • Founded and scaled Lumen's Data Science organization from inception — establishing research methodology, ML engineering standards, model development lifecycle practices, and an experimental culture that produced trademarked 'FinanceIQ' classification research recognized across the organization for its analytical innovation. • Fine-tuned and optimized ML models for dedicated enterprise tasks — designing evaluation frameworks, experiment methodologies, and model comparison workflows to ensure production models delivered measurable improvements in forecast accuracy, classification precision, and decision quality. • Defined multi-cloud data platform strategy on Databricks, Azure, GCP, and AWS — architecting data lakehouse environments with streaming and batch pipelines, data cataloging, observability standards, and quality frameworks enabling both analytics and AI agent use cases at enterprise scale. • Established enterprise data governance and AI governance frameworks — defining data stewardship accountability, model risk management standards, responsible AI practices, and compliance infrastructure under GDPR, CCPA, HIPAA, and CPNI in regulated production environments. • Directed SAP S/4 HANA ERP modernization — leading migration and integration with analytics environments, strengthening the integrity and consistency of financial intelligence data across the enterprise. • Own data architecture and governance across core enterprise datasets spanning Salesforce, SAP, HRIS, SCM, Treasury, and FP&A — providing trusted, governed data foundations for financial intelligence, workforce analytics, supply chain visibility, and enterprise planning across the FinTech organization. • Serve as part of Lumen's finance leadership, responsible for reporting on EBITDA and ARPU for company-wide visibility into financial goals compliance — delivering trusted, governed financial metrics that inform executive and Board-level decision-making. • Operated under rigorous engineering standards — Six-Sigma, CMM, ISO 8001, and SDL frameworks governing data science and software development practices across the organization. • Secured two U.S. patents for novel data integration and large-scale analytics inventions, and published ten peer-reviewed research papers on enterprise AI, LLM deployment, agentic analytics, Databricks platform optimization, Unity Catalog governance, probabilistic forecasting, applied statistics and biostatistics methodology, and hallucination prevention in production AI systems. • Partnered directly with C-suite leaders as strategic thought partner — translating complex ML research, AI agent capabilities, and platform strategy into clear executive narratives that shaped enterprise investment decisions.

The University of Northern Colorado • Greeley, CO

Graduate faculty appointment in applied statistics and data science — maintaining active research engagement and mentoring emerging data scientists alongside executive practice. • Taught graduate-level Data Science, Applied Statistics, and Research Methods — instructing advanced statistical modeling, ML techniques, and research methodology to practitioners entering enterprise data science roles. • Mentored students in Python, R, SQL, SAS, and SPSS with hands-on emphasis on statistical rigor, reproducible analysis, and applied ML model development for real-world business problems.

Unison Systems, Inc. • Greenwood Village, CO

P&L-accountable technology executive holding combined CTO and CIO executive oversight — leading applied data science, analytics platform delivery, enterprise IT operations, and engineering team management for a national consulting organization. Personally involved in technical architecture and ML development alongside executive leadership responsibilities. • Held direct executive oversight of the CIO function and enterprise IT infrastructure alongside CTO responsibilities — unifying technology strategy, IT operations, and data/analytics leadership under a single accountable executive, a combined-scope mandate spanning the full breadth of enterprise technology and information systems. • Led development of a high-volume Spectrum Analytics predictive platform — personally contributing to ML architecture design for automated customer experience scoring and maintenance prediction at scale, recognized with a granted U.S. patent. • Defined and executed enterprise data science strategies for national clients — including ML model development roadmaps, data governance frameworks, and analytics engineering standards. • Managed technical resource allocation for 300+ employees and contractors including nine direct reports, maintaining engineering quality standards across concurrent data science, analytics, and IT delivery programs. • Established a Master Data Management practice across a 35-person matrixed team — standardizing data definitions, lineage documentation, and quality controls enabling trustworthy analytics and ML workloads. • Designed Loyalty Program analytics for a large retail client — implementing behavioral segmentation, customer lifetime value modeling, and retention prediction using centralized transaction data. • Governed Vertica-based enterprise data warehouse environments for large telecom clients — managing high-throughput analytical query workloads and establishing columnar database performance and optimization standards.

Comcast Corporation • Littleton, CO

Led engineering and operations teams in the development of a subscriber identity management platform that included service directories and authentication environments. Toolsets used included CA eTrust, CA SiteMinder, Radiant Logic, Composite, and Ping Federate. Lead the development, deployment, and operations of a large data-warehousing environment with business intelligence platforms. Managed all ETL, data marts, data feeds, and Operational Data Stores for the warehouse (average load of ~15 billion records/night). Toolsets used included Ab Initio, Pentaho, CoSort, DataMirror, Oracle, MSSQL, MySQL, Vertica, x500, SAS, Corda, Jasper, Hyperion ESSBase/Brio, OBIEE, and MicroStrategy. Direct supervision of the Data Engineering group (200+ individuals), with teams that included 75% employees and 25% contractors, and 7 direct reports. • Led the development and deployment of a large data-warehousing environment with business intelligence platforms. Managed all warehouse ETL, data marts, data feeds, and Operational Data Stores (average load of ~10 billion records/night). Toolsets used included Informatica, Ab Initio, CoSort, DataMirror, Oracle, DB2, MySQL, Vertica, SAS, Corda, Essbase, and Brio. Direct supervision of the Data Engineering group (150+ individuals), with teams that included 80% employees and 20% contractors and 5 direct reports. • Created a GIS infrastructure to manage, design, build, and operate a nationwide cable distribution plant. Planned and designed an enterprise-wide oracle database with spatial capabilities. Planned data intake and feature manipulation functionality using CAD tools, FME, MapMarker, MapInfo, and GDT data dictionaries. Direct supervision of the GIS and DW group (80+ individuals), with teams that included 90% employees and 10% contractors, and 6 direct reports. • Responsible for the IT Enterprise Development team in charge of a suite of engineering applications for the telecommunications industry. Managed and implemented a complete SDLC to formalize development. Led, built, and deployed various application systems to support cable engineering and operations. Applications included distributed systems using Sybase, Oracle, Neuron Data, PowerBuilder, and SilverStream. Direct supervision of the BI and Reporting teams (50+ individuals), with teams that included 75% employees and 25% contractors, and 3 direct reports. • Lead a project to migrate legacy/historical data from the MS Excel Technical P&L to a Sybase XI RDBMS using PowerBuilder 5.0 Enterprise Application client-server architecture. Worked in a multi-user/multi-platform environment. Managed 10 software developers, data modelers, and database administrators. Responsible for the overall architecture and deployment of the financial system from project inception to production. Technical lead over the first version of a channel line-up application called Maui/Fiji, using Sybase XI with a Neuron Data front end. Responsible for designing, developing, and supporting all reporting for the SummiTrak billing system using Sybase XI with a PowerBuilder 5/Unix front end. Data acquisition was managed using terminal emulators on Windows and Apple clients. Direct supervision of the Apps Dev group (25+ individuals), with teams that included 80% employees and 20% contractors, and 10 direct reports. • Designed, developed, and managed internal database systems. Conceived and implemented procedures to improve cash flow, technical productivity, budget, and inventory controls. Trained department heads in the application of new technologies in their day-to-day business functions. Developed the Technical P&L.