Michael Arthur

Data Governance & Health Data Specialist | Government & Regulated Industry Expert

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Education

M.S., Public Policy & Management

Carnegie Mellon University - Heinz College

B.A., Economics

George Mason University



Certifications

  • Certified Data Management Professional (CDMP) (Expected 2025)

  • Certified Information Privacy Professional/United States (CIPP/US) (Expected 2025)

  • Generative AI Fundatmentals See Badge

  • Microsoft Azure AI Fundamentals: Generative AI See Certification


Core Competencies

  • Data Governance: Experience leading data governance initiatives, including chairing data governance committee and drafting and implementing new data policies, resulting in clear, secure, and operationalized data usage standards.

  • Strategy & Analytics: Deep expertise in analytics with a proven track record of enhancing data-driven decision-making within regulated and government environments.

  • IT Management & Operations: Managed IT budgets, asset lifecycle forecasting, and streamlined inventory processes, contributing to fiscal sustainability and operational continuity.

  • Team Leadership & Development: Hired and onboarded staff, led professional development programs, and coached employees to strengthen capabilities in data management, GIS, and analytics.

Published Work

  • MetroLab Model Data Governance Guide: Participated as an advisor on MetroLab’s Model Data Governance Policy & Practice Guide, providing actionable frameworks for cities and counties to establish and improve data governance practices. This document acts as a reference point for local governments aiming to enhance data use while safeguarding privacy and ensuring compliance. Link

About me...

With 10+ years of specialized data leadership experience, my expertise bridges the gap between unmanaged, vulnerable data systems and strategic, compliant intelligence programs that improve mission-critical decision-making.


Work Experience

Chief Data Officer
Guilford County, NC
Dec 2021 – Present

  • Team and Resource Management:Led and developed a high-performing data team of 12 data professionals. Managed annual technology and data operations budget exceeding $1.2M. Strategically allocated resources to maximize operational efficiency and technological innovation. Implemented talent development programs, resulting in 90% team retention and significant skill enhancement

  • Data Governance and Regulatory Compliance: Led creation of comprehensive data governance model ensuring regulatory adherence. Standardized data management practices across 30+ county departments, 100+ source systems/applications, and covering 22TB of data. Mitigated potential data risk exposure through policy design and program implementation

  • Enterprise Data Strategy: Successfully enhanced cross-departmental data collaboration and decision-making capabilities designing and building new data warehouse with existing technology and procurement and delivery of new data visualization and analytics tool (Power BI).

  • Operational Performance Optimization: Developed high-impact dashboards built on top of new data warehouse infrastructure. Established robust data quality, privacy, and compliance protocols for highly regulated and restricted data sources.

Senior Consultant, Strategy & Analytics, Government & Public Services
Deloitte
Aug 2017 – Dec 2021

  • Directed analytics projects and data governance implementations for federal public sector clients, focusing on data security, regulatory compliance, and operational effectiveness.

  • Developed tailored data management solutions for government agencies, helping them leverage data science and analytics to drive informed decision-making.

  • Managed cross-functional teams in implementing data infrastructure improvements that enhanced government agency reporting and data reliability.

Operations Associate
The NPD Group
Aug 2013 – Jun 2015

  • Enhanced forecasting capabilities by automating reporting tools, increasing issue resolution rates, and improving product-matching algorithms for data accuracy.

  • Achieved 98% data matching rates through data quality initiatives, streamlining data ingestion and processing for weekly production.