Director, Enterprise Architecture

**Job Title: Director, Enterprise Architecture** **Position Summary:** The Director of Enterprise Architecture will define and govern the future‑state architecture for our organization. This role owns the strategic blueprint for our hybrid‑cloud environment, multitenant B2B SaaS/BPaaS products, internal applications, and emerging AI capabilities. The position bridges business strategy, product development, and engineering execution. # Essential Duties and Responsibilities: Core Mandate - Align business strategy with architecture: Connect our business model and go‑to‑market strategy with a coherent, scalable technology and data architecture spanning customer‑facing products, internal tools, and platforms. - Define and govern future state: Establish target‑state models across business capabilities, applications, data, integration, infrastructure, and AI/ML so major initiatives move the organization toward that blueprint rather than creating silos or technical debt. - Enable AI and modernization: Explicitly weave AI capabilities (analytics, automation, intelligent workflows, copilots) into the target architecture and multi‑year roadmap, alongside ongoing cloud and platform modernization. - Operate as business partner: Act as a trusted advisor to product, engineering, security, and operations leadership, translating business imperatives into coherent, phased architecture and technology decisions. Key Responsibilities Target Architecture and Strategy - Document the existing application landscape, infrastructure, information security architecture, data flows, and integration patterns across products (member management, benefits admin, billing, big‑data analytics) and internal systems. - Define future‑state architecture across: - Business capabilities (enrollment, billing, member engagement, analytics, reporting, regulatory compliance) - Application portfolio (product suites vs. internal tools; consolidation opportunities; partner/third‑party integrations) - Data architecture (multitenant data models, warehouse/lakehouse platforms, real‑time analytics, MDM) - Technology stack (cloud platforms, container orchestration, API gateways, messaging, security/IAM, observability) - AI/ML enablement (model ops, feature stores, governance, PHI compliance, productization of AI insights) - Infrastructure and deployment (hybrid cloud, network segmentation, DR/resilience, cost optimization) - Establish and maintain reference architectures and patterns for: - Multitenant SaaS design (data isolation, tenant routing, configurability, billing/metering) - Modern API design and integration (REST, event‑driven, FHIR/HL7, EDI) - Data integration and ETL/ELT modernization (e.g., from SSIS to cloud‑native pipelines) - Secure, compliant handling of PHI in hybrid‑cloud environments - MLOps and responsible AI deployment in regulated healthcare Road mapping and Execution - Build and maintain a multi‑year transformation roadmap (2–3 years+) covering: - Platform modernization (cloud migration, monolith decomposition, SaaS transition) - Legacy system retirement or integration strategy - AI and analytics capabilities rollout - Partner and third‑party integrations - Technology stack and tool rationalization - Identify dependencies across initiatives (data, infrastructure, security, compliance) and communicate trade‑offs and sequencing to leadership and product teams. - Help quantify architecture decisions (cost, risk, time‑to‑market, operational burden) to inform investment prioritization. Governance and Standards - Establish and run a lightweight Architecture Review Board (ARB) to review major architectural changes, new technology proposals, and significant product/integration initiatives. - Define and evolve standards for: - Cloud infrastructure (IaC, deployment automation, networking, identity/access) - Data and integration (data models, master data, APIs, event contracts) - Security and compliance (encryption, audit logging, PHI handling, regulatory requirements…