Sr. Director, AI & Enterprise Architecture

Convey Health Solutions•Fort Lauderdale, FL

12h•$180,000 - $210,000

About The Position

The Head of AI & Enterprise Architecture is a Senior Director level role that will define the AI strategy 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, infrastructure, information security and engineering execution.

Requirements

10+ years of Enterprise Architecture, solution architecture, or systems engineering experience.
5+ years of hands‑on hybrid‑cloud or multi‑cloud architecture (AWS, Azure, GCP, and/or on‑premises).
Deep experience with AI and LLM technologies, proven ability in designing and scaling AI platforms across multi-faceted platforms and organizations.
Deep experience with cloud‑native technologies: Kubernetes/Docker, microservices, serverless, CI/CD, Infrastructure as Code (e.g., Terraform, CloudFormation, ARM).
Strong understanding of network architecture, security (VPCs, firewalls, encryption, identity/access), and DR/resilience patterns.
Experience designing and governing large‑scale, multitenant SaaS platforms.
5+ years in healthcare technology (payers, providers, health tech) or other regulated industries (finance, insurance).
Proven experience with healthcare compliance (HIPAA, CMS regulations, audit requirements, PHI handling).
Familiarity with interoperability standards (FHIR, HL7, EDI/X12) and associated integration patterns.
Knowledge of payer operations (enrollment, eligibility, billing, claims, member management, regulatory reporting); Medicare Advantage experience is a plus.
Strong background in modern data architecture: warehouses, lakes/lakehouses, ETL/ELT, and real‑time streaming.
Experience with cloud‑native data platforms (e.g., Azure Data Factory, Databricks, Snowflake, BigQuery) and analytics stacks.
Familiarity with AI/ML operations: model development, deployment, monitoring, governance, and responsible AI practices.
Understanding of healthcare data challenges: MDM, data quality, data privacy.
Ability to articulate architecture strategy to C‑suite and non‑technical stakeholders in business terms.
Strong stakeholder management across product, engineering, operations, and security; able to build alignment and resolve conflicts.
Solid business acumen: can quantify trade‑offs in cost, risk, time‑to‑market, and customer impact.
Demonstrated change leadership during major technology transitions (cloud migration, platform consolidation, legacy modernization).

Nice To Haves

Background in Enterprise Architecture or solution architecture leadership roles (e.g., Principal Architect, Director of Enterprise Architecture, Architecture Practice Lead) with demonstrated impact on business outcomes leveraging AI and emerging technology solutions.
Proven track record leading large‑scale AI and architecture initiatives (AI development, platform modernization, cloud/hybrid transformations, multitenant SaaS evolution) from strategy through execution, with measurable results.
Experience building or scaling multitenant healthcare or B2B platforms (e.g., member management, eligibility, billing, analytics) in regulated environments.
Certifications in Enterprise Architecture (e.g., TOGAF) or cloud platforms (e.g., AWS/Azure Solutions Architect) strongly preferred.
Demonstrated ability to influence executive stakeholders and guide product and engineering teams through complex architectural decisions and trade‑offs.

Responsibilities

Enable AI and modernization: Develop AI strategy and explicitly weave AI capabilities (AI/ML, Agentic AI) into the target architecture and multi‑year roadmap, alongside ongoing cloud and platform modernization.
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.
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.
Develop Enterprise AI strategy for Convey and subsidiary companies, owning the strategy across these organizations, working closely with each organization to align strategy to business needs.
Develop and own the AI use case roadmap, responsible for overall delivery and execution of the roadmap in coordination with applicable delivery teams.
Execute AI Governance model, working closely with IT and business leaders in conjunction with the Information Risk Management Committee to govern AI models, practices, and solutions.
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 environment.
Establish and run an 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 mitigation), Observability and cost management (logging, metrics, tracing, billing attribution).
Participate in the Information Risk Management Committee owning the AI governance, presenting and working with committee members to manage AI risks.
Track and manage technology exceptions, technical debt, and risk; prioritize remediation based on business impact and compliance requirements.
Partner with CTO/Engineering leadership to translate architecture into delivery roadmaps and guide platform decisions.
Partner with Product leadership to align architecture with product strategy and feature roadmaps.
Partner with Analytics leadership to co‑design the data platform, analytics capabilities, and AI/ML infrastructure.
Partner with Security & Compliance to embed security architecture, data privacy, and regulatory needs into designs.
Partner with Infrastructure to co-design our network, storage and compute environments.
Partner with Operations to ensure target architecture is operationally sustainable.
Present AI and architecture strategy to executive leadership, product/engineering teams, and other stakeholders in clear business language.
Mentor solution architects and senior engineers; grow architecture thinking across the organization.
Develop AI focused roadmap that encompasses all AI solutions and work cross-functionally with delivery teams to coordinate execution.
Ensure software and analytics products are architected for AI utilization, scale, tenant isolation, configurability, and cost efficiency in a shared‑infrastructure model.
Design for HIPAA, CMS audit requirements, and interoperability standards (FHIR, HL7, EDI), ensuring secure PHI handling across hybrid environments as applicable.
Define how AI capabilities (predictive analytics, agentic AI) are built, deployed, governed, and monitored in products and internal tools.
Optimize hybrid‑cloud deployments for consistent security, identity, performance, and cost.
Design integration strategies for health plans, providers, third‑party vendors, and internal systems (CRM, billing, reporting).