Principal Enterprise Architect - Asset & Configuration Management

HP•Houston, TX

About The Position

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 <5-minute data freshness across critical configuration items 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 entitlements Establish vendor management and contract optimization strategies leveraging usage analytics and market intelligence Compliance, Security & Risk Management Architect autonomous compliance frameworks for SOX IT controls, ISO 27001, and regulatory requirements Integrate CMDB with security tools (SIEM, SOAR, vulnerability management) enabling risk-based asset prioritization Implement continuous audit readiness with AI-powered sampling, exception detection, and remediation workflows Design zero-trust asset verification leveraging continuous authentication and behavioral analytics Build ESG compliance capabilities tracking IT asset carbon footprint and sustainability metrics Create immutable audit trails using blockchain or distributed ledger technologies Stakeholder Engagement & Change Leadership Present enterprise asset intelligence insights to C-suite driving strategic decisions on technology investments Partner with Finance for accurate IT cost allocation, chargeback models, and budget optimization Collaborate with Security on asset-centric threat intelligence and automated vulnerability remediation Work with Enterprise Architecture on application portfolio rationalization and technical debt reduction Enable Procurement with automated asset request workflows and intelligent supplier management Lead organizational change management ensuring 80%+ adoption of new CMDB/ITAM capabilities

Requirements

15+ years progressive experience in enterprise architecture, IT asset management, or digital transformation
10+ years of hands-on experience with ServiceNow platform including CMDB, ITAM, and custom application development
7+ years implementing CMDB/ITAM programs in Fortune 500 enterprises (50K+ employees, $10B+ revenue)
Proven success delivering enterprise-scale CMDB implementations achieving 95%+ data accuracy across 250K+ CIs
Demonstrated track record implementing AI/ML solutions generating measurable business value
Experience managing $10M+ technology programs with cross-functional teams spanning IT, Finance, Security, and Operations
History of successful vendor negotiations and contract optimizations saving $X M annually
ServiceNow Expert-level proficiency in ServiceNow CMDB architecture, data modeling, and relationship mapping
Deep experience with ServiceNow Discovery, Service Mapping, and Cloud Discovery capabilities
Advanced knowledge of ServiceNow ITAM modules including Hardware Asset Management (HAM) and Software Asset Management (SAM)
Hands-on expertise with ServiceNow Integration Hub, Flow Designer, and REST/SOAP API development
Experience implementing ServiceNow Predictive Intelligence and AI/ML features
Proficiency with ServiceNow Performance Analytics, dashboards, and reporting frameworks
Understanding of ServiceNow platform architecture, instance strategies, and upgrade management
Practical experience implementing machine learning models (TensorFlow, PyTorch, scikit-learn) for IT operations use cases
Proficiency with agentic AI frameworks, LLMs, and prompt engineering (LangChain, OpenAI, Anthropic Claude)
Hands-on with Python, R, or similar languages for data science and automation
Experience with graph databases (Neo4j, Amazon Neptune) and knowledge graph construction
Knowledge of real-time streaming platforms (Kafka, Azure Event Hub) and event-driven architecture
Familiarity with AIOps platforms and intelligent observability tools like Splunk, Data Dog
Understanding of conversational AI, NLP, and virtual assistant technologies
Deep experience with AWS, Azure, and GCP including native asset management services (Config, Resource Graph, Asset Inventory)
Knowledge of Kubernetes, containerization, and cloud-native application architecture
Experience with infrastructure-as-code (Terraform, CloudFormation, ARM templates)
Understanding of multi-cloud management and hybrid infrastructure patterns
Familiarity with FinOps tools (Cloud Health, Apptio, Spot) and cloud cost optimization methodologies
Expert knowledge of ITIL 4 framework, particularly Configuration and Asset Management processes
Understanding of software licensing models (perpetual, subscription, consumption-based, cloud)
Experience with discovery and ITAM tools (Flexera, USU, Snow, Zylo, Tanium, Qualys)
Knowledge of hardware lifecycle management, e-waste disposal, and circular economy principles
Familiarity with IAITAM standards and CSAM (Certified Software Asset Manager) frameworks
Advanced SQL and data modeling skills for complex relational and graph databases
Experience with data integration, ETL/ELT pipelines, and data quality frameworks
Proficiency with BI tools (Tableau, Power BI, Qlik) and embedded analytics
Understanding of data governance, master data management, and metadata management
Knowledge of statistical analysis and predictive modeling techniques
Bachelor’s degree in computer science, Information Systems, Engineering, or related field (Master's preferred)
Certifications (Minimum 3 Required)
ServiceNow Certified Implementation Specialist - ITAM or CMDB
ServiceNow Certified System Administrator (CSA)
ITIL 4 Strategic Leader or Managing Professional
AWS/Azure/GCP Professional Architect certification
Certified Software Asset Manager (CSAM) or SAM Professional (SAMPro)
AI/ML certifications (AWS ML Specialty, Google ML Engineer, etc.)
Executive presence with ability to influence C-suite and drive enterprise-wide transformation
Financial acumen translating technical capabilities into business outcomes and ROI
Strategic thinking balancing long-term vision with tactical execution and quick wins
Market awareness of emerging technologies, industry trends, and competitive landscape
Deep hands-on technical expertise with ability to architect complex, enterprise-scale solutions
Innovation mindset continuously exploring emerging technologies and implementation patterns
Quality obsession ensuring solutions are scalable, secure, and operationally excellent
Technical mentorship developing architecture capabilities across the organization
Proven ability to lead large-scale transformations impacting 50K+ employees
Change leadership driving adoption through stakeholder engagement and enablement
Program management orchestrating multiple workstreams with interdependencies
Agile mindset delivering value incrementally while managing enterprise complexity
Executive communication skills with experience presenting to Board and C-suite audiences
Cross-functional partnership building trust and alignment across IT, Finance, Security, Operations
Influence without authority navigating matrix organizations and competing priorities
Clear and compelling storytelling translating technical complexity into business narrative

Responsibilities

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
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.
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
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 <5-minute data freshness across critical configuration items
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
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 entitlements
Establish vendor management and contract optimization strategies leveraging usage analytics and market intelligence
Architect autonomous compliance frameworks for SOX IT controls, ISO 27001, and regulatory requirements
Integrate CMDB with security tools (SIEM, SOAR, vulnerability management) enabling risk-based asset prioritization
Implement continuous audit readiness with AI-powered sampling, exception detection, and remediation workflows
Design zero-trust asset verification leveraging continuous authentication and behavioral analytics
Build ESG compliance capabilities tracking IT asset carbon footprint and sustainability metrics
Create immutable audit trails using blockchain or distributed ledger technologies
Present enterprise asset intelligence insights to C-suite driving strategic decisions on technology investments
Partner with Finance for accurate IT cost allocation, chargeback models, and budget optimization
Collaborate with Security on asset-centric threat intelligence and automated vulnerability remediation
Work with Enterprise Architecture on application portfolio rationalization and technical debt reduction
Enable Procurement with automated asset request workflows and intelligent supplier management
Lead organizational change management ensuring 80%+ adoption of new CMDB/ITAM capabilities