Sr ServiceNow SPM Architect / Lead Developer
PeopleNTech· enterprise· Information Technology And Services· Sep 29, 2026 · 29d ago
Alexandria, VA
Remote
Full-time
Lead/Staff
$142K–$211K est.
Job description
Sr ServiceNow SPM Architect / Lead Developer
Rate – 75/hr for Developer // Architect – 95/hr (DON'T STOP on the rate Part)
Location – Remote / Hybrid in MN
Senior ServiceNow SPM Developer
Position Summary
We are seeking an experienced Sr ServiceNow SPM Architect / Lead Developer with extensive expertise in the Strategic Portfolio Management (SPM) suite and strong end-to-end ServiceNow platform knowledge. The ideal candidate will lead the design, implementation, and optimisation of enterprise portfolio, demand, project, program, resource, investment, and agile management solutions while driving AI-powered innovations across the ServiceNow ecosystem.
The candidate should possess a strong architectural mindset, deep platform configuration and development skills, and hands-on experience implementing scalable enterprise solutions using ServiceNow AI capabilities, intelligent automation, and modern platform best practices.
Key Responsibilities
Strategic Portfolio Management (SPM) Service Now
• Lead and implement ServiceNow SPM solutions across:
• Demand Management
• Project Portfolio Management (PPM)
• Program Management
• Agile Development
• Resource Management
• Financial Planning
• Investment Funding
• Strategic Planning Workspace
• Objectives & Key Results (OKR)
• Enterprise Portfolio Management
• Capacity Planning
• Roadmap Planning
• Design governance processes for portfolio selection, prioritisation, and funding.
• Configure portfolio hierarchy, investment planning, strategic themes, and business objectives.
• Implement resource allocation, forecasting, capacity management, and utilisation dashboards.
• Build executive reporting and portfolio analytics using Performance Analytics and Workspace experiences.
• Define portfolio KPIs and enterprise metrics.
AI & Intelligent Automation
• Drive adoption of ServiceNow AI capabilities including:
• Identify opportunities for AI-based automation in:
• Demand Intake
• Project Risk Analysis
• Capacity Forecasting
• Resource Optimisation
• Executive Reporting
• Project Summarisation
• Knowledge Generation
• Partner with business stakeholders to define AI use cases and measurable outcomes.
• Ensure responsible AI governance, security, compliance, and human-in-the-loop validation.
Required Qualifications
Experience
• 8+ years of ServiceNow platform experience.
• 5+ years of hands-on ServiceNow SPM implementation experience.
• Experience leading enterprise-scale ServiceNow transformation programmes.
• Experience integrating ServiceNow with ERP, HR, Finance, DevOps, and Agile tools.
Technical Skills
ServiceNow SPM
• Demand Management
• PPM
• Resource Management
• Financial Management
• Enterprise Agile Planning
• Portfolio Management
• Strategic Planning
• Investment Funding
• Objectives & Key Results (OKRs)
• Scenario Planning
ServiceNow Platform
• App Engine
• Flow Designer
• IntegrationHub
• UI Builder
• Service Portal
• Performance Analytics
• Reporting & Dashboards
• Workspace Configuration
• Security & Governance
• Platform Upgrades
Development
• JavaScript
• Glide APIs
• Script Includes
• Business Rules
• REST/SOAP Integrations
• IntegrationHub Spokes
• Source Control & CI/CD
Preferred Certifications
• ServiceNow Certified System Administrator (CSA)
• ServiceNow Certified Application Developer (CAD)
• ServiceNow Certified Implementation Specialist – Strategic Portfolio Management
AI Persona Expectations
The successful candidate should demonstrate the ability to act as an AI-Enabled ServiceNow Transformation Leader:
• Utilises AI to accelerate solution design and delivery.
• Designs AI-powered employee and customer experiences.
• Leverages Agentic AI to automate business workflows.
• Uses AI-assisted SDLC practices for requirement generation, code review, testing, and documentation.
• Develops AI copilots and digital workforce solutions on the ServiceNow platform.
• Promotes responsible AI practices with governance, security, and compliance controls.
• Translates business problems into AI-driven platform solutions with measurable ROI.
Application prep
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