HAM Data Quality Team Lead; VA ESOM

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Remote HAM Data Quality Team Lead (VA ESOM) based in the United States.

Take the lead in ensuring accurate, reliable, and compliant hardware asset data across a large-scale federal IT environment. As Remote HAM Data Quality Team Lead, you will oversee end-to-end data integrity as legacy asset tracking systems transition to Service Now Hardware Asset Management Pro (HAM Pro). You will guide a dedicated data quality team, establish governance standards, and drive remediation initiatives that improve asset visibility and reporting confidence.

Working closely with technical teams, equipment accountability specialists, and site stakeholders, you will validate migration results and support successful system rollouts. Your work will help strengthen financial reporting, regulatory compliance, and operational readiness across multiple locations. This remote opportunity combines hands-on data management, team leadership, and cross-functional collaboration in support of services for U.S. Veterans.

• Lead and manage the Data Quality Team, overseeing ongoing cleanup and remediation across hardware asset management Configuration Items (CIs).

• Identify and resolve duplicate, orphaned, incomplete, and inaccurate asset records to establish a trusted system of record.

• Assign daily tasks, review data quality work, monitor progress, and ensure remediation targets are achieved.

• Mentor and develop team members through regular one-on-one meetings, performance evaluations, and ongoing professional guidance.

• Establish and enforce data quality standards, validation rules, and governance procedures for asset data entry and maintenance.

• Develop and maintain standard operating procedures (SOPs), cleanup guidelines, and documentation to support sustainable data management practices.

• Investigate recurring data quality issues, identify root causes, and recommend process or system-level corrective actions.

• Conduct regular data audits and reconcile legacy system records against Service Now HAM Pro to validate migration accuracy and completeness.

• Assess data readiness ahead of site go-lives and support post-launch stabilization and remediation activities.

• Validate asset attributes, including net book value and depreciation data, to maintain the integrity of downstream financial and operational reporting.

• Develop and maintain data quality dashboards, metrics, and leadership reports that communicate progress, risks, and confidence in asset data across sites and territories.

• Collaborate with the Senior IT Logistician and Technical Solutions Architect on data structures, field mapping, and system configuration issues.

• Partner with Equipment Accountability, Change Management, and site stakeholders to reinforce consistent data entry and asset management practices.

• Coordinate with Configuration Management Database (CMDB), Software Asset Management (SAM), and Enterprise Service Management (ESM) teams to maintain data integrity and cross-module alignment.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; alternatively, 8 additional years of relevant professional experience may substitute for the degree.

• At least 5 years of experience with Power BI.

• At least 5 years of experience in data quality, data governance, or IT asset management.

• At least 2 years of experience leading or supervising data analysts or data remediation teams.

• Demonstrated experience with Service Now HAM, HAM Pro, or CMDB in a production enterprise environment.

• Proven experience with legacy-to-new-system data migration, data reconciliation, and validation.

• Working knowledge of hardware asset lifecycle data, including net book value and depreciation.

• Experience developing data quality metrics, dashboards, and progress reports for leadership.

• Experience working in large, complex, and regulated organizations; federal or federal-adjacent environments are preferred.

• Strong communication and collaboration skills, including the ability to influence stakeholders across multiple teams without direct authority.

• Strong analytical and problem-solving skills, with the ability to identify data inconsistencies, investigate root causes, and implement corrective measures.

• Excellent documentation skills and the ability to establish clear, repeatable data governance processes.

Preferred qualifications include:

• Experience supporting phased,…