Remote VP, Enterprise Architecture bei Global healthcare exchange inc
Global healthcare exchange inc · Office Location or Remote - USA, Vereinigte Staaten Von Amerika · Remote
GHX is looking for a visionary Vice President, Enterprise Architecture to design, implement, and lead our Enterprise Architecture Program, ensuring our SaaS platforms are secure, reliable, and cost-effective at scale. This role will play a strategic leadership role in guiding architectural decisions, standardizing engineering practices, and integrating AI into the software development lifecycle (SDLC) to drive measurable improvements across the organization.
Reporting to the Chief Technology Officer, you will partner across technology and business teams to bring structure, clarity, and innovation to our architecture while representing GHX with both internal and external stakeholders, including customers and the board.
Key Responsibilities
Build and Operate the Enterprise Architecture Program
- Establish and lead GHX’s enterprise architecture strategy to ensure long-term alignment between technology and business goals.
- Define and enforce architectural principles focused on Security, Reliability, and Cost Effectiveness.
- Continuously assess and evolve systems architecture for scale, compliance (e.g., HIPAA, HITRUST), and cloud efficiency.
- Act as a strategic advisor to business and technology leaders by providing guidance on technology investments and architecture decisions.
Standardize Engineering Practices Across GHX
- Defines world class guiding principles, standards, and patterns to create multi-tiered architecture that is scalable, reliable, and cost effective.
- Define and roll out architectural standards, documentation frameworks and decision-making processes across all engineering teams.
- Drive cross-functional alignment and visibility on technical initiatives by working with product, security, operations, and compliance.
- Drives high adoption of standards and tools among architects and stakeholders.
- Act as a technology ambassador with GHX leadership, customers, and the board—clearly articulating architectural decisions, risks, and trade-offs
Leverage AI to Optimize the Software Development Lifecycle
- Envision and communicate future-state architecture aligned with business goals including vision document and strategic technology roadmap.
- Identify and implement AI/ML tools and practices to improve code quality, automate testing, enhance observability, and reduce technical debt.
- Drive adoption of AI across the SDLC to accelerate delivery while improving system resilience and reducing long-term operational costs.
- Lead internal education and governance around AI tooling, model use, and risks in production environments.
Additional Responsibilities
- Guide the design and implementation of GHX’s platform architecture including microservices, event-driven patterns, and data flows.
- Serve as a mentor and thought leader for engineering teams, encouraging architectural rigor and forward-thinking design.
- Evaluate emerging technologies and vendors, ensuring alignment with GHX’s strategic priorities and compliance requirements.
- Collaborate on cloud infrastructure optimization, including cost modeling, observability, and infrastructure-as-code standards.
- M&A platform integration architecture and design.
- Act as a mentor, conflict mediator and facilitator of design sessions to capture and resolve all relevant architecture issues.
Required Qualifications
- 10+ years of software engineering experience, with 5+ in senior architectural or platform leadership roles.
- Proven experience designing and maintaining enterprise-grade SaaS platforms in regulated industries (preferably healthcare).
- Strong grasp of cloud architecture (AWS, GCP, or Azure), modern SDLC practices, DevOps, and security architecture.
- Demonstrated success in building and managing architectural frameworks and governance in large, distributed environments.
- Effective communicator capable of influencing C-level leaders, technical teams, and external stakeholders.
- Experience integrating or building AI/ML solutions to enhance software engineering outcomes or platform capabilities.
- Demonstrated high trust and credibility with business and technology leadership.
- Ability to effectively facilitate high level discussions, resolve conflict and guide creative sessions.
Preferred Qualifications