Enterprise Architect
Role Overview
The Enterprise Architect is a senior technology leader responsible for defining and evolving Banyan HQ’s enterprise architecture.
The role owns current-state and target-state architecture, roadmaps, standards, and integration patterns for corporate technology.
Banyan is building an AI-native enterprise, with AI designed into systems, data, workflows, and infrastructure.
Key Skills for This Role
Full Job Posting
About Banyan Software
Banyan acquires and grows software businesses through a buy-grow-and-hold-for-life approach.
Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC.
Role overview
The Enterprise Architect is a senior technology leader responsible for defining and evolving Banyan HQ’s enterprise architecture.
The role owns current-state and target-state architecture, roadmaps, standards, and integration patterns for corporate technology.
Banyan is building an AI-native enterprise, with AI designed into systems, data, workflows, and infrastructure.
Enterprise architecture and security
- Define architecture strategy and transition roadmaps aligned with business goals.
- Establish architecture principles, reference patterns, technology standards, and an efficient review process.
- Govern integrations across Microsoft 365, Okta, NetSuite, Salesforce, Slack, Zoom, and related SaaS platforms.
- Partner with the Director of Security on zero-trust platforms, including MDM, Zscaler VPN/ZTNA, and endpoint security.
AI architecture and infrastructure
- Evaluate systems and platform decisions for access by AI and agentic tools to data, APIs, and workflows.
- Own AI infrastructure architecture, including model and API access, connectors, orchestration, automation, identity, logging, and cost controls.
- Collaborate on consolidated data platforms, clean systems of record, data contracts, retrieval-ready knowledge, and permission-aware access.
- Design agent-ready workflows with human checkpoints, auditability, and rollback paths.
- Partner with Security and Legal to define AI governance, including data classification, acceptable use, vendor and model evaluation, and monitoring.
- Turn successful AI pilots into reusable patterns and shared infrastructure, and help quantify their value.
Technology planning and lifecycle
- Evaluate emerging technologies and vendors and recommend whether to adopt, hold, or retire them.
- Rationalize overlapping tools and assess cost, risk, and complexity trade-offs.
- Maintain architecture documentation and system-of-record diagrams.
- Partner with IT, Security, and Finance on capacity, licensing, total cost of ownership, and AI platform cost planning.
Role scope
- The position combines hands-on architecture leadership across identity, collaboration, business systems, and data platforms with ownership of AI infrastructure and architectural foundations.
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