Principal Enterprise Architect - Asset & Configuration Management Description - Position Overview The Principal Enterprise Architect for Asset & Configuration Management is a strategic technology leader responsible for architecting and driving the enterprise-wide CMDB and IT Asset Management (ITAM) strategy that leverages AI, automation, and next-generation digital technologies. This role leads the transformation of traditional asset management into an intelligent, predictive capability that serves as the foundational intelligence layer for autonomous IT operations, cost optimization, and strategic decision-making across a Fortune 500 global enterprise. Strategic Mandate Transform CMDB/ITAM from operational overhead to strategic business intelligence platform Design and implement AI-native asset management capabilities delivering 2X productivity improvements Establish enterprise-wide asset visibility across endpoints, applications, and multi-cloud infrastructure Drive cost optimization through intelligent asset rationalization and license optimization Enable autonomous IT operations through real-time, high-fidelity configuration intelligence Key Responsibilities Enterprise Architecture & Strategic Vision Define and execute 3-5 year roadmap for AI-powered CMDB/ITAM modernization aligned to enterprise digital transformation initiatives Architect federated asset intelligence platform integrating ServiceNow CMDB with cloud-native observability, security, and FinOps tools Design enterprise data models, taxonomy, and governance frameworks supporting 500K+ configuration items across hybrid cloud environments Establish CMDB/ITAM as the "single source of truth" for IT assets, dependencies, and business relationships Partner with C-suite and business leaders to translate asset intelligence into strategic insights and competitive advantage Lead enterprise architecture review boards ensuring CMDB/ITAM integration across all major technology initiatives AI & Intelligent Automation Implementation Deploy machine learning models for autonomous asset discovery, classification, and relationship mapping achieving 90%+ accuracy Implement agentic AI systems that self-heal data quality issues, predict asset failures, and autonomously optimize license utilization Build natural language interfaces enabling employees to query asset information and trigger workflows conversationally Design predictive analytics capabilities forecasting hardware refresh needs, security vulnerabilities, and compliance risks Leverage generative AI for automated documentation, policy generation, and executive reporting Create AI-powered recommendation engines for application rationalization, vendor consolidation, and technology stack optimization Implement continuous intelligence using streaming data, real-time analytics, and event-driven architecture. ServiceNow Platform Leadership Architect and optimize ServiceNow CMDB, ITAM, HAM, SAM, and Discovery modules for Fortune 500 scale. Design ServiceNow integrations leveraging Integration Hub, Flow Designer, and API frameworks connecting enterprise systems Implement ServiceNow AI/ML capabilities including Predictive Intelligence, Performance Analytics, and Virtual Agent Lead ServiceNow platform governance including release management, environment strategy, and center of excellence operations Drive ServiceNow innovation through custom applications, AI-augmented workflows, and advanced automation Optimize ServiceNow licensing and consumption models aligned to business value realization Mentor ServiceNow architects and administrators building platform expertise across the organization CMDB & Asset Management Program Excellence Establish enterprise CMDB governance framework defining data ownership, quality standards, and continuous improvement processes Implement comprehensive asset lifecycle management from procurement through retirement with 90%+ automation Design multi-tier discovery strategy combining agent-based, agentless, cloud-native, and AI-augmented discovery methods Build real-time asset reconciliation capabilities achieving Create asset criticality and business impact scoring methodologies driving prioritization and risk management Develop service dependency mapping enabling accurate blast radius analysis and change impact assessment Implementing IT Asset Management covering hardware, software, cloud, SaaS, and IoT/edge devices Software Asset Management & FinOps Design AI-powered software license optimization program delivering 30%+ cost reduction while maintaining compliance Implement automated software true-up and vendor audit preparation by reducing manual effort by 80% Build SaaS management capabilities identifying shadow IT, eliminating redundancies, and optimizing subscriptions Create FinOps frameworks with real-time cloud cost visibility, anomaly detection, and automated optimization recommendations Develop license harvesting and redeployment workflows maximizing utilization of existing enti