IT Software Architect, SaaS Enablement and Governance

About the job

Responsibilities

• Own the target architecture for enterprise software, SaaS, integrations, APIs, and agent-enabled business systems.
• Drive deprecation and consolidation of enterprise software targets.
• Build lightweight governance patterns to guide software and integration decisions.
• Create architecture standards for identity, access, data movement, API usage, auditability, and vendor integration.
• Partner with Security to ensure software architecture addresses security requirements like SSO, MFA, data residency, and incident response.
• Collaborate with Procurement and Finance on renewals, rationalization, and build-versus-buy decisions.
• Partner with application verticals to evaluate agentic business workflows and translate them into enterprise system patterns.
• Review proposed SaaS and internally built tools for overlap, risk, integration quality, and long-term fit.
• Develop reusable architecture blueprints for common capabilities.
• Define where OpenAI-native GPT or agent-built solutions can replace or enable traditional SaaS tools.
• Create clear decision records and architecture artifacts.
• Drive software catalog maturity by connecting tool inventory, business owner, system owner, integration path, and risk posture.

Requirements

• 10+ years of experience in enterprise architecture, business systems architecture, IT architecture, SaaS governance, integration architecture, or a related technical leadership role.
• Strong understanding of SaaS operating models, software lifecycle management, software asset management, and vendor/platform governance.
• Experience designing integrations across systems, including large-scale SaaS platforms like CRM, ERP, and marketplaces.
• Practical knowledge of identity and access patterns (SSO, OIDC, SAML, SCIM, RBAC/ABAC, privileged admin models, service accounts, OAuth apps, token governance).
• Ability to evaluate software from multiple perspectives: business value, architecture fit, security, data exposure, cost, supportability, user experience, and vendor strategy.
• Comfort operating in ambiguity and building structure.
• Ability to influence senior stakeholders without relying solely on formal authority.
• Skill in writing clear architecture decision records, governance standards, system diagrams, business cases, and executive recommendations.
• Strong partner orientation to help teams move faster while improving decision quality.
• Curiosity about AI-native enterprise architecture and the application of GPT and agentic workflows.