Sr. IT Asset Data Engineer
O
OportunFinancial Services
Remote - MXFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience in Technology; 3+ years of experience developing and supporting ServiceNow Asset Management, SAM, CMDB, or ITOM solutions.
- Required Skills
- Data engineeringServiceNow
Requirements
- Bachelor's degree or equivalent experience in Computer Science, Information Systems, Engineering, or a related discipline.
- 5+ years of experience in Technology with a focus on IT Asset Management, Configuration Management, or similar ITAM toolsets.
- 3+ years of experience developing and supporting ServiceNow Asset Management, Software Asset Management, CMDB, or IT Operations Management solutions.
- Strong understanding of IT Asset Management, Software Asset Management, Configuration Management, and CMDB best practices.
- Strong analytical, organizational, and problem-solving skills with exceptional attention to detail.
- Excellent communication and interpersonal skills with the ability to collaborate effectively across business and technology teams.
Responsibilities
- Manage the data and data quality of the ServiceNow IT Asset Management, Software Asset Management, and CMDB technical solutions.
- Partner with the Configuration Manager and SAM Administrator to engineer scalable solutions that improve asset data quality, governance, and operational efficiency.
- Support external and internal audits by ensuring asset inventory consistency, completeness, and traceability.
- Collaborate with Procurement, Infrastructure, Security, IT Operations, and application owners to enhance asset data quality supporting asset management processes.
- Develop and maintain reports, dashboards, and data solutions that support compliance, operational metrics, executive reporting, and audit readiness.
- Collaborate with ServiceNow developers and administrators to enhance asset-related integrations, such as hardware/software product models and entitlements.
- Assist in evaluating new ServiceNow Asset Management capabilities and recommend enhancements that improve automation, scalability, and data integrity.
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