Principal Enterprise Architect - Asset & Configuration Management

About the job

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.

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

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

Qualifications

Minimum

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

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

Preferred