Mauricio Guzman
Enterprise Solutions Architect
Enterprise Architecture • Digital Transformation • Cloud Strategy • Data Platforms • AI Governance
Enterprise Solutions Architect with 10+ years of experience spanning healthcare technology, enterprise cloud platforms, customer engagement systems, data strategy, and AI-enabled solutions. Experienced leading cross-functional initiatives, platform modernization efforts, and enterprise-scale technology programs that align technical execution with measurable business outcomes.
Selected Enterprise Initiatives
Enterprise Reputation Platform
Architected and led rollout of a centralized customer reputation platform supporting 321 dealership locations.
- • $1.8M annual savings
- • Vendor consolidation initiative
- • 469k+ monthly interactions
- • Unified enterprise reporting
Healthcare Data Governance
Led QA governance supporting national organ donation workflows and UNOS integrations.
- • HIPAA regulated systems
- • UNOS integration testing
- • Process standardization
- • Mission critical healthcare workflows
Enterprise Analytics Modernization
Designed centralized reporting architecture using BigQuery and Power BI for 300+ dealership websites.
- • Unified reporting visibility
- • Analytics architecture design
- • Executive reporting
- • Cost optimization recommendations
Professional Experience
Salesforce Solution Architect
Lithia & Driveway | 2023 – Present
- Architect enterprise customer engagement solutions supporting a retail ecosystem of 321+ dealership locations across the United States.
- Led architecture and rollout of a centralized Reputation Management platform, replacing fragmented third-party vendor solutions and delivering approximately $1.8M in annual cost savings.
- Coordinated stakeholders across executive leadership, product management, reporting teams, developers, UX/UI designers, and field operations to successfully launch enterprise-wide customer feedback workflows.
- Designed Salesforce Marketing Cloud journeys and data integration patterns supporting approximately 47,000 monthly Sales NPS interactions and 422,000 monthly Service NPS interactions.
- Established governance processes, intake procedures, and operational standards supporting automation initiatives, platform administration, and enterprise solution delivery.
- Mentor and provide architectural guidance for platform administrators and technical team members supporting daily operations and change management activities.
Marketing Data Engineer
Lithia & Driveway | 2022 – 2023
- Designed enterprise reporting architecture leveraging Google BigQuery and Power BI to provide visibility into customer engagement assets across 300+ dealership websites.
- Developed automated data extraction processes utilizing standardized asset naming conventions to measure click-through rates, impressions, and engagement performance.
- Partnered with marketing, analytics, and business stakeholders to translate reporting requirements into scalable data solutions and executive dashboards.
- Evaluated architecture alternatives involving Azure Data Lake and Snowflake to improve reporting performance, optimize query costs, and support long-term scalability objectives.
- Served as a bridge between technical and business teams, translating operational challenges into actionable data strategies and platform recommendations.
Software Quality Assurance Lead
Transplant Connect | 2015 – 2022
- Led quality assurance initiatives supporting mission-critical healthcare technology used throughout the organ donation and transplantation ecosystem.
- Managed validation and governance processes for UNOS integrations, ensuring accurate transmission of donor information into national matching systems.
- Built testing frameworks, operational procedures, and documentation standards that improved consistency, onboarding, and release readiness across QA teams.
- Trained and mentored QA analysts responsible for regulatory and integration testing activities within HIPAA-regulated environments.
- Collaborated directly with executive leadership, engineering teams, and external UNOS stakeholders to investigate defects, validate releases, and maintain system integrity.
- Served as a trusted subject matter expert for healthcare data workflows involving donor records, clinical testing information, and compliance-sensitive data exchanges.
AI Governance & Innovation
Healthcare RAG System
Privacy-First Clinical Decision Support Architecture
A privacy-first, locally-hosted retrieval-augmented generation (RAG) system designed for clinical decision support in HIPAA-regulated healthcare environments. The architecture targets high-value use cases including prior authorization review, care gap identification, and patient engagement content generation - enabling healthcare organizations to adopt AI capabilities without transmitting sensitive patient data to external providers.
Built on a hybrid retrieval approach combining BM25 keyword search with semantic vector search, the system improves accuracy on clinical terminology where the same condition may be described in multiple ways across different guide lines and documentation. All inference runs locally on-premise - no PHI leaves the organization's infrastructure.
Clinical Use Cases
- ✓ Prior authorization review against payer guidelines
- ✓ Care gap identification and outreach support
- ✓ Patient engagement content generation
- ✓ Regulatory document analysis within HIPAA-compliant infrastructure
- ✓ Air-gapped deployment for maximum data sovereignty
Architecture Highlights
- • pgvector - Vector database layer for semantic similarity search
- • Hybrid Retrieval - BM 25 + semantic search with RRF fusion for clinical terminology accuracy
- • Local LLM (Ollama) - On-premise inference, no external API calls
- • Docker - Containerized, portable, reproducible deployment
- • HIPAA-Compliant by Design - No patient data transmitted externally
Why This Matters
Healthcare organizations want AI capabilities but face a fundamental constraint: patient data cannot be sent to hosted AI providers under HIPAA. This architecture solves that problem directly - delivering generative AI functionality entirely within the organization's own infrastructure. The hybrid retrieval approach addresses a real clinical challenge: medical terminology is inconsistent across guidelines, payer documents, and clinical notes. Combining keyword and semantic search produces significantly more accurate retrieval than either method alone.
Current Focus
- • Enterprise Architecture
- • Cloud Modernization
- • AI Governance
- • Platform Consolidation
- • Data Strategy
- • Digital Transformation
Core Technical Skills
Cloud Platforms
- Microsoft Azure
- Terraform
- Docker
- Linux
Enterprise Systems
- Salesforce Marketing Cloud
- API Integrations
- Solution Architecture
- Identity & Access Concepts
- Stakeholder Management
- Technology Roadmapping
Data Platforms
- Snowflake
- SQL
- ETL Pipelines
- Power BI
AI Infrastructure
- Ollama
- ChromaDB
- Local LLM Deployment
- RAG Systems
Certification & Contact
Salesforce Certified Marketing Cloud Engagement Administrator (Sep 2024)
Open to Enterprise Architecture, Cloud Strategy, Technology Leadership, and Digital Transformation opportunities.
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