Carrollton, Texas, United States
I help organizations modernize technology, secure critical systems, and transform complex data into measurable business outcomes. I am a senior technology and cybersecurity leader with experience across enterprise architecture, cloud transformation, data platforms, AI, and security strategy at global organizations including Microsoft, AWS, PepsiCo, and high-growth healthcare and fintech companies. My career has focused on bridging business priorities with deep technical execution—leading teams, designing scalable architectures, and delivering secure, enterprise-grade technology solutions that drive growth and operational resilience. Over the years, I have led large-scale modernization initiatives spanning cloud architecture, cybersecurity, data strategy, platform engineering, governance, and enterprise infrastructure. I have built and led high-performing technical teams, advised executives on technology strategy, and partnered directly with customers and stakeholders to solve complex business and operational challenges. My expertise spans: 🔹 Cybersecurity & Security Architecture 🔹 Cloud Architecture (Azure, AWS, Hybrid & Multi-Cloud) 🔹 Enterprise Infrastructure & Platform Engineering 🔹 Data & AI Strategy / Big Data Platforms 🔹 Identity, Governance, Compliance & Risk Management 🔹 Enterprise Architecture & Digital Transformation 🔹 Technical Leadership, Presales & Customer Advisory Throughout my career, I have worked across highly regulated and enterprise-scale environments—designing resilient systems, improving operational efficiency, strengthening security posture, and enabling innovation at scale. Highlights include leading global technology initiatives supporting operations across 200+ countries, driving enterprise modernization efforts for Fortune 500 organizations, achieving top performance at Microsoft, and building secure, scalable technology ecosystems that align engineering execution with business strategy. I am particularly passionate about solving difficult problems at the intersection of cybersecurity, cloud, data, and business transformation. I enjoy connecting with technology leaders, cybersecurity professionals, cloud architects, and organizations seeking strategic yet hands-on technical leadership. Let’s connect.
Lead enterprise technology and data platform strategy, overseeing software engineering, cloud infrastructure, cybersecurity, and data operations supporting healthcare SaaS platforms. Architect scalable, secure, and highly available cloud ecosystems across Azure and AWS to support analytics, APIs, interoperability, and business operations. Drive development of enterprise-grade data platforms supporting analytics, reporting, and AI/ML use cases while enabling interoperability through FHIR and HL7 standards. Partner cross-functionally with compliance, product, clinical, and operations teams to align technology and data initiatives with business priorities and regulatory requirements. Lead engineering teams through agile delivery practices, DevSecOps, SDLC governance, vendor coordination, and continuous improvement initiatives. Support Data governance, access controls, platform observability, and cybersecurity best practices in regulated environments including HIPAA, SOC 2, and HITRUST.
Lead enterprise technology and data strategy across software engineering, cloud infrastructure, cybersecurity, and data operations. Architect multi-cloud Azure and AWS environments supporting scalable healthcare SaaS ecosystems. Drive DevSecOps, Agile delivery, compliance (HIPAA, SOC 2, HITRUST), and interoperability using FHIR/HL7.
Developed and executed a comprehensive data governance framework, leading a team of data governance professionals. Established and owned a data governance program, including policies, procedures, and standards to safeguard data and AI assets. Collaborated with cross-functional teams to build the metadata and governance foundation for the lakehouse, providing capabilities such as catalog, lineage, search, discovery, auditing, and compliance. Ensured alignment and motivation of the team, fostering career progression and development. Key Responsibilities: Organizational Leadership: Oversaw the development and implementation of a cross-functional data governance organization, ensuring clear roles, responsibilities, and accountability for data stewardship. Strategic Implementation: Designed and implemented comprehensive data governance and management processes and systems, engaging the team effectively in these initiatives. Policy Development: Developed strategies in collaboration with cross-functional teams to meet business data requirements, leading the creation and enforcement of data governance policies to maintain data integrity, consistency, and regulatory compliance. Technology Utilization: Led the selection and utilization of data governance tools, guiding the team in effective management of data assets, including data quality, cataloging, and lineage. Team Management and Development: Managed and mentored a team of data governance professionals. Developed individual growth plans, facilitated ongoing learning opportunities, and created a supportive team environment to foster professional development and high team morale. Quality Control: Monitored data quality metrics, addressed issues proactively, and maintained high data standards. Empowered the team to take initiative in identifying and resolving data quality issues. Collaborated with the Data Licensing Team to ensure compliance with the latest data rules and permissible use based on current licensure.
Led enterprise data governance and AI asset protection strategy for mortgage technology platform. Managed team of 8+ data professionals and improved productivity/retention by 25%. Implemented metadata, lineage, catalog, compliance, and lakehouse governance capabilities.
Lead a team of architects to drive architectural designs and patterns for the data foundation (Data Lake, Data Pipelines, CI/CD patterns, Data Sharing, Master Data Management, Data Warehousing, BI/Visualization, AI/ML integration etc.). Drive data management patterns applicable to all data archetypes supporting the data foundation. Drive modern, scalable, modular, and flexible platform architectures and provide governance and oversight over platform engineering development to ensure adherence to best practices. Guide and enable innovation, such as newer paradigms like Data Mesh, turning ideas into sustainable, robust implementations. Support Data Engineering teams with design, logical/physical architectures, and integration mapping, advocating and adhering Enterprise standards, and driving overall Enterprise Architecture principles and strategies. Expand Enterprise Data Design: Grow influence and responsibility to include guidance and support of data design for Enterprise/Global teams, extending patterns and governance to guide and drive overall Enterprise data strategies and design best practices; promote data consistency, re-usability, and integration. Accountable for driving data foundation architecture supporting implementation of strategic project investments, and resulting business value, across the Data and Analytics platforms driven by S&T – key digital programs like Integrated Business Planning (IBP), Global Net Revenue Mgmt. (gNRM), Sales Effectiveness (SE), Value Chain Transformation (VCT). Accountable for driving and governing data foundation architecture for other digital priorities like GBS Digital/Reporting Factory and other key global digital initiatives like MSFT COINV capabilities (e.g. FP&A Predictive Forecasting) Governs data/platform architecture – creation and governance of conceptual, logical and physical architecture Drive architecture for platform and the data foundation Globally with different Teams in the company
Directed team of 12+ architects supporting enterprise data modernization across 200+ countries. Improved operational efficiency by 40% and reduced processing time by 35%. Supported strategic initiatives tied to $80B+ annual revenue.
Enterprise Technical sales professional focused on bringing on new managed customers onto the Azure platform. Identify and drive opportunities in targeted workloads. Increase sales volume of Microsoft Data & AI solutions, through the generation of new opportunities that result in additional customer revenue. Responsibilities: Work strategically to remove technical and business sales roadblocks and innovate to improve business development. Develop a thorough understanding of solutions and relevant business pains, and become proficient conducting high-level demos of primary selling scenarios for solution. Understand competitor solutions and products and drive compete messaging to increase Microsoft Azure consumption Collaborate with the extended sales team, partners, and marketing to conduct whitespace analysis to pursue high potential customers and develop a target list of potential business. Working knowledge in the following areas: AI and Machine Learning: Anomaly Detector, Bot Service, Cognitive Search, Cognitive Services, Databricks, Machine Learning, Open Datasets, Bing Autosuggest, Bing Custom Search, Bing Entity Search, Bing Image Search, Bing News Search, Bing Spell Check, Bing Video Search, Bing Visual Search, Bing Web Search, Computer Vision, Content Moderator, Custom Vision, Data Science Virtual Machines, Face, Form Recognizer, Immersive Reader, Ink Recognizer, Kinect DK, Language Understanding, Metrics Advisor, Microsoft Genomics, Personalizer, Project Bonsai, QnA Maker, Speaker Recognition, Speech to Text, Speech Translation, Text Analytics, Text to Speech, Translator, Video Indexer. Analytics: Analysis Services, Data Explorer, Data Lake Storage, Data Share, Databricks, Purview, Stream Analytics, Synapse Analytics, Data Catalog, Data Factory, Data Lake Analytics, Event Hubs, HDInsight, Log Analytics, Power BI Embedded, R Server for HDInsight.
Onboarded enterprise customers to Azure, using Azure Portal and PowerShell to configure data and AI workloads, and identified over 20 new data-AI use cases that expanded service adoption. Delivered technical demonstrations of Azure cloud-native applications and data solutions (e.g., Azure Synapse, Cosmos DB) to enterprise clients, leading a 30% increase in proof-of-concept engagements. Achieved 150% of quota through successful client engagements and solution delivery.