I've led data strategy programs that put governance guardrails (standards, security, and management practices) in place, define personas, and build a culture of analysis and predictive automation. The result: proactive, data-driven decisions instead of 'gut' reactions to a changing landscape.
I design and roll out data literacy programs so teams can read, write, and reason with data the same way. By establishing a shared vocabulary and practices, I've helped organizations reduce internal friction and actually use their data to drive outcomes.
I build automations so analysts spend time on analysis—not repetitive tasks. Using tools like Power Automate, I've shipped bots that enforce data standards, improve data quality, and run day-to-day processes reliably.
I help organizations adopt the Microsoft Power Platform (Power Automate, Power Apps, Power BI) to enable citizen development—safely. I set up governance, centers of excellence, and coaching so domain experts can ship solutions faster without creating shadow IT.
I architect, clean up, and modernize SharePoint so it actually supports content and knowledge management. Paired with Teams and the Power Platform, I've rebuilt environments with proper administration, automation, and information architecture.
I design and ship scalable web apps. I work with HTML, CSS, JavaScript, and frameworks like SvelteKit (this site is one), Tailwind, and Bootstrap, and I handle deployment pipelines end-to-end.
I win work by investing in relationships and partnering—even with competitors when it benefits the client. I have a track record of qualifying and capturing new business and building teams from my network to deliver.
I use Figma to turn ideas into tangible wireframes and prototypes, aligning stakeholders early and reducing overall delivery time through fast iteration.
I plan and run campaigns that people actually want to engage with. From content strategy to execution, I focus on material that earns attention and gets shared.
Portfolio Manager transforming how the Department leverages Artificial Intelligence to enhance data-driven diplomacy, streamline workflows, and build AI capacity.
Delivered human-centered data solutions to drive business decisions, improve operational efficiencies, and enhance overall performance.
Director of federal contracts, focusing on leading data-driven development initiatives across the federal government.
Technical Project Manager leading complex IT data analytics projects and programs across multiple Federal agencies and cross-functional teams.
Applied data analytics and Earned Value Management (EVM) techniques to manage material costs, integrate schedules, and maintain performance measurement baselines.
Degree: Master of Science Management (2005-2006)
Degree: Bachelor of Arts Economics & Psychology (2001-2005)
Architected Funhouse, an enterprise wide Azure Databricks AI sandbox enabling 1,000+ data scientists to securely leverage open-source Python/R and Azure AI services. This IDE accelerated the delivery of hundreds of AI use cases, modernizing operations across the Department of State’s domestic and international posts.
Managed the deployment of the Department of State’s first enterprise AI gateway, 'Prompter.' Prompter was engineered as a C# wrapper around Azure OpenAI that democratized LLM access for departmental developers while implementing granular governance for cost attribution and usage telemetry.
Defined the strategic vision for the Department of State’s AI Marketplace, a human-centered ecosystem construct designed to connect a globally diverse population of users with vetted, trusted AI platforms. Specifically, developing a AI Maturity Pillar model based on 100+ hours of stakeholder discovery, establishing enterprise standards for ethical AI, bias mitigation, and risk-aware deployment.
Engineered the automation of HR operations at MetaPhase through low-code Power Platform solutions. Optimizing and automating award approval flows, training and compliance tracking, and transactional HR Audit Logs system to ensure data compliance and operational transparency.
Architected the USCIS Data Literacy Framework and maturity model that defined the strategic goals for building a Data and AI informed USCIS. Specifically, by identifying key skills, competencies, and learning pathways for personas to enhance their capacity over time.
Advisory to the Chief Data Officer to manage the deployment the initial USCIS Data Strategy. Specifically through the development of a comprehensive review of the organizational structures, identification of vision, goals, and objectives, alignment to Executive Orders and Congressional Mandates, and office skill assessments.
Orchestrated the migration of a legacy, excel-based, enterprise wide performance reporting tool; modernizing an archaic solution into a high-performance Python and SQL-based ETL pipeline within Databricks. By automating data wrangling, templatizing data inputs, and integrating Tableau for real-time visualization, our team compressed the production timeline from 30 days to 72 hours, significantly enhancing data transparency and stakeholder trust.