
Contact
Education
M.S., Public Policy & Management
Carnegie Mellon University - Heinz College
B.S., Economics
George Mason University - Honors College
Certifications
Certified Information Privacy Professional/United States (CIPP/US)
Generative AI Fundamentals See Badge
Microsoft Azure AI Fundamentals: Generative AI See Certification
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
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.
Skills
Governance & Risk: Compliance alignment, data classification, policy development,risk assessment
Data Management: Microsft Purview, Azure ( Data Factory, Synapse, SQL), Power BI ( Premium & Pro)
Policy Implementation: Enterprise data catalogs, legal coordination, executive presentation and buy-in
Project Delivery: Agile and Scrum, backlog grooming,cross- functional execution, system requirement gathering
About me...
With 10+ years of specialized data leadership experience, my expertise bridges the gap between unmanaged, vulnerable data systems and strategic, compliant programs that improve mission-critical decision-making.
Work Experience
Chief Data Officer
Guilford County, NC
Dec 2021 – Present
Data Governance and Regulatory Compliance:
Led creation and enforcement of comprehensive countywide data governance framework spanning 30+ departments, 100+ source systems, and 22TB of data.
Established policies for access, sharing, protection, and classification of sensitive information.
Chaired IT Governance Subcommittee on Data Governance and Operationalization Strategy.
Created initial countywide policy guidance, compliance workflows, and metadata standards that standardized data management practices enterprise-wide. Coordinated across 20+ departments, legal, and IT to establish unified governance framework.
Supported behavioral health and children's services initiatives by embedding governance protocols and enabling secure, compliant data sharing across divisions under legal and regulatory oversight.
Authored and negotiated data sharing agreements with external partners (e.g., hospitals), improving performance monitoring and ensuring compliance with HIPAA data security requirements.
Enterprise Data Strategy and Infrastructure:
Designed and built enterprise data warehouse using existing technology stack, enabling enhanced cross-departmental collaboration and decision-making capabilities across county operations.
Developed and integrated robust data pipelines into Power BI Premium and Azure Data Factory, enhancing data infrastructure and enabling secure internal publishing workflows within 6 months.
Led procurement and delivery of modern data visualization and analytics platform (Power BI), democratizing data access and empowering self-service analytics across departments.
Implemented predictive analytics framework that streamlined executive report generation, resulting in faster insights and improved operational efficiency for senior leadership.
Operational Performance Optimization:
Developed high-impact dashboards built on new data warehouse infrastructure, providing real-time visibility into critical operational metrics and KPIs across 30+ departments.
Led implementation of business intelligence framework that standardized KPIs and reporting metrics across departments, enhancing consistency in data-driven decision-making.
Established robust data quality, privacy, and compliance protocols for highly regulated and restricted data sources, ensuring adherence to federal, state, and local requirements.
Established comprehensive reporting process that enhanced visibility into compliance metrics, fostering a culture of accountability and data transparency across all organizational levels.
Team and Resource Management: Led and developed a high-performing data team of 12 professionals across analytics, engineering, and governance functions.
Implemented talent development programs, resulting in 90% retention rate and measurable skill enhancement.
Managed annual technology and data operations budget exceeding $1.2M. Strategically allocated resources across infrastructure, tools, and initiatives to maximize operational efficiency and drive technological innovation.
Established cross-functional collaboration mechanisms between data team and departmental stakeholders, fostering a culture of data literacy and shared accountability.
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.