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)
  • AI/ML governance (model training, validation, deployment, monitoring, bias miti