Executive presence. Builder credibility.

I turn enterprise data, AI, and technology strategy into accountable mission outcomes.

I am the Chief Data Officer for the DHS OCIO, advising department leadership on enterprise data, AI, and mission technology. Before that, I spent years as a product engineer, architect, and delivery lead building software across financial services, pharmaceuticals, publishing, games, fashion, and government.

Positioning

Leadership profile

Executive Data Leadership

Principal advisor for enterprise data management, responsible data culture, discoverability, accessibility, and the use of data as a strategic asset for mission outcomes.

Mission Delivery

Led and supported urgent public-sector systems including COVID vaccine tracking, family reunification websites, Operation Allies Welcome reporting, and human capital technology modernization.

Still Technical

Recent private work spans Cloud Run operations, iOS speech systems, on-device transcription, local network security scanning, email and data migration, Apps Script, BigQuery, OpenTelemetry, and AI-assisted workflows.

Work

Executive track, builder foundation

Current

Chief Data Officer

U.S. Department of Homeland Security, Office of the Chief Information Officer · May 2024 - Present

Advises the CIO and department leadership on enterprise data management, AI/ML enablement, data discoverability, accessibility, and data-driven decision-making across the DHS mission.

Acting / Senior Leadership

Acting CDO, Senior Leader HRIT, Digital Services Expert

U.S. Department of Homeland Security and United States Digital Service · 2020 - 2024

Provided executive architectural guidance for information technology and human capital systems, led technical delivery for urgent government websites, and received DHS OCIO recognition for mission contributions.

Consulting and Product Engineering

Associate Director, Lead Developer, Managing Consultant

Navigant / Guidehouse · 2013 - 2020

Managed a technology team serving financial compliance clients, built hosted due-diligence and regulatory tools, contributed to the Big Data Committee, and delivered ML, Hadoop, MongoDB, MSSQL, C#/.NET, ETL, and rules platforms.

Earlier Builder Years

Lead Developer and Mobile Developer

Rivers Consulting / ActiveIntellect and earlier roles · 2006 - 2013

Designed enterprise web, mobile, CMS, data presentation, and role-based management systems across fashion, pharmaceuticals, publishing, games, and B2B mobile.

Private Code

What the private GitHub graph says without exposing private code

Most of the strongest signal in my GitHub history is private. This site intentionally describes the shape of the work, not proprietary implementation details.

AI and Applied Automation

On-device and cloud-assisted transcription, model routing, private model asset handling, Gmail digest workflows, image recognition experiments, and AI-assisted operational tools.

HelpfulKeyboardEmailLifeSaverimagespottersparkexperiments

Cloud Operations and Data Migration

Cloud Run jobs, resumable migration pipelines, verification queues, API benchmarking, calendar and mail synchronization, cutover runbooks, and production-oriented recovery flows.

EmailMigratorTransactionProcessorTransactionAPIBenchmarker

Security, Inventory, and Observability

Local network inventory, shadow AI fingerprinting, OpenTelemetry instrumentation, BigQuery-backed analysis, browser automation research, and command-center style dashboarding.

SimpleScannerBrowserInvaderOWB

Full-Stack Product Systems

Mobile, server, and admin surfaces for product experiments, including backends, moderation/admin workflows, client apps, and deployment infrastructure.

CaptionContestCaptionContestServerCaptionContestAdminTaskFocusTaskFocusServer

Mobile and Platform Engineering

iOS, Android, Swift packages, UI components, shared libraries, and platform-specific product surfaces.

JarrotiOSJarrotAndroidSharedSwiftSpin.SwiftKDCircularProgressLNZTreeView

Enterprise and Compliance Foundations

Data quality tools, decision-tree experiments, financial/compliance-adjacent platforms, desktop utilities, and internal data editing workflows.

DictionaryApiDictionaryCorrectTradingFormulaApiTradingFormulaMacOSDecisionTreeDataEditor

Technical Range

Deep enough to govern, current enough to build

Enterprise data strategyAI and machine learning enablementCloud Run and container deploymentPython, C#/.NET, Swift, JavaScript, TypeScript, Apps ScriptiOS, Android, and mobile product deliveryMSSQL, MongoDB, BigQuery, ETL, rules enginesOpenTelemetry, operational dashboards, migration runbooksSecurity-aware architecture, SAML2, OAuth, ADFS

Operating Style

How I tend to work

Executive without disappearing from the work

I can brief leadership, align stakeholders, and still read the stack trace, review the architecture, or build the proof-of-concept.

Practical systems over theater

The most useful technology work is usually disciplined: clear ownership, boring deployment paths, explicit risks, and recovery plans that work when people are tired.

Data as a mission asset

Data programs only matter when they change decisions, reduce friction, improve accountability, and make the right thing easier to do.

Public Work

Selected public artifacts

Most repos are private, but these public repositories provide a few visible anchors for the older and open-source side of the portfolio.

Contact

Practical conversations about data, AI, delivery, and public-interest technology.