Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.

Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.

Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.

Join our team as the expert you are now and create your future.

The Data Operations Architect’s overarching role is translating business and analytical requirements into reliable, scalable, production-grade data solutions. This role focuses on designing, building, deploying, and operating data pipelines, services, and applications that support critical business use cases.



You will define technical standards, architectural patterns, and operational practices that engineering teams use to deliver and support data solutions as long-lived services. This includes designing data workflows, APIs, processing logic, and the supporting infrastructure required to operate these solutions at scale.

The Data Operations Architect must demonstrate strong software engineering discipline, experience shipping production systems, and a mindset of ownership through the full solution lifecycle. You must be able to communicate architectural approaches clearly, lead implementation efforts, and ensure solutions meet expectations for reliability, performance, and supportability. A strong computer science foundation and the ability to learn and adapt quickly are essential.

Huron seeks a highly motivated and independent engineer to design and build solutions across its healthcare capabilities. This role will be highly visible to executive leadership and is intended to have a large impact on a diverse consulting organization, implementing technologies that facilitate new AI, automation, and analytics capabilities.

The Data Operations Architect’s overarching role is translating business and analytical requirements into reliable, scalable, production-grade data solutions. This role focuses on designing, building, deploying, and operating data pipelines, services, and applications that support critical business use cases.

You will define technical standards, architectural patterns, and operational practices that engineering teams use to deliver and support data solutions as long-lived services. This includes designing data workflows, APIs, processing logic, and the supporting infrastructure required to operate these solutions at scale.

The Data Operations Architect must demonstrate strong software engineering discipline, experience shipping production systems, and a mindset of ownership through the full solution lifecycle. You must be able to communicate architectural approaches clearly, lead implementation efforts, and ensure solutions meet expectations for reliability, performance, and supportability. A strong computer science foundation and the ability to learn and adapt quickly are essential.

RESPONSIBILITIES

• Translate business and analytical requirements into scalable, maintainable data solutions.

• Design and implement data pipelines, services, and applications that are owned and operated by the team.

• Ship production-grade software that enables data ingestion, transformation, validation, and access.

• Design and implement APIs and services that expose data and processing capabilities.

• Define and apply architectural patterns that support reliability, scalability, and ease of operation.

• Own deployment, monitoring, alerting, and ongoing support for team-owned solutions.

• Establish operational practices for incident response, troubleshooting, and continuous improvement.

• Design integrations with upstream and downstream systems.

• Create and maintain technical documentation, runbooks, and operational playbooks.

• Provide technical