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Director of Asset Automation & System Integration
Job in
Charlotte, Mecklenburg County, North Carolina, 28201, USA
Listed on 2026-03-07
Listing for:
Jobot
Full Time
position Listed on 2026-03-07
Job specializations:
-
IT/Tech
Systems Engineer -
Engineering
Systems Engineer
Job Description & How to Apply Below
Amanda Preston
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.
Salary: $160,000 - $200,000 per year
A bit about us:
Diversified global enterprise operating at the intersection of media, information services, and technology. With a long-standing history of innovation and reinvention, we support a broad portfolio of businesses spanning digital media, financial services, healthcare, data analytics, and software-driven platforms.
Why join us?
This is a chance to build the future of automation at enterprise scale.
You won’t be maintaining legacy processes—you’ll be designing how systems integrate, how data flows in real time, and how AI-driven automation transforms IT operations. You’ll have the autonomy to shape the roadmap, deliver visible wins quickly, and influence how a large organization modernizes asset management and governance.
If you’re a hands-on engineer ready to step into automation and AI leadership, this role offers real ownership, meaningful impact, and the opportunity to leave behind systems that are smarter, faster, and built to last.
Job Details
Director, Asset Automation & Systems Integration
Job Description
About the Role
We are seeking a forward-thinking and highly technical Director of Asset Automation & Systems Integration to lead the transformation of enterprise asset management capabilities. This role goes far beyond traditional IT asset management. It is focused on building the foundation for a fully automated, AI-enabled future where disparate systems integrate seamlessly, data flows automatically, and manual reconciliations are eliminated.
The ideal candidate is a hands-on technologist with proven experience in systems integration, automation, and modern infrastructure engineering. This role manages a small, established asset management team, but the primary focus is on designing and delivering next-generation solutions: connecting critical data sources to the CMDB, developing live integrations, enabling AI-driven automation, and shaping the long-term roadmap for automation and digital workforce capabilities.
This is a rare opportunity to build the future of IT operations at scale and is well suited for an engineer with an identity, cloud, or network background who is ready to expand into AI and automation leadership.
Key Responsibilities
Systems Integration & Automation
Design, build, and maintain integrations between CMDB platforms, identity systems, security tools, cloud services, and network portals.
Evaluate failed or inefficient integrations, conduct retrospectives, and recommend scalable, sustainable solutions.
Create and execute a technical roadmap to achieve live, automated data flows across the enterprise.
AI & Automation Roadmap
Drive adoption of AI tools and autonomous agents to enhance IT operations.
Partner with automation teams to leverage shared toolkits and establish best practices.
Position the asset management function for a future where governance and operations are highly automated.
Leadership & Stakeholder Management
Manage and mentor a team of asset management professionals, guiding them toward higher-value, automation- and AI-driven work.
Collaborate closely with infrastructure, identity, cloud, network, and security engineering leaders.
Engage senior leadership, providing clear updates, recommendations, and strategic guidance on automation initiatives.
Strategic Delivery
Deliver near-term automation wins while building toward long-term AI-enabled capabilities.
Collect, analyze, and synthesize input from engineering and security teams to ensure the CMDB contains meaningful, actionable, and trusted data.
Own retrospectives on unsuccessful initiatives and propose cost-effective, technically sound alternatives.
Qualifications
Technical Expertise (any of the following)
Identity Engineering:
Experience with modern identity platforms such as SailPoint, Okta, or equivalent.
Cloud Engineering:
Azure, AWS, or Google Cloud with hands-on experience in integrations and automation.
Network Engineering:
Strong experience with network portals, device integrations, and providers (e.g., Cisco, Meraki, Palo Alto).
Required…
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