Clinical Product Operations Specialist

Accountabilities: Manage patient-facing content: Create, review, publish, and maintain content entries in Contentful, including scheduling updates, conducting quality checks in staging, maintaining consistent content structures and permissions, and archiving outdated material. Coordinate with engineering teams on content model changes, clearly documenting requirements and validating completed updates. Own data requests and reporting: Establish a centralized intake process for data requests, ensuring each request has a defined purpose, owner, and deadline. Build and maintain Amazon QuickSight dashboards, develop self-service reporting, perform ad hoc SQL analysis, and define consistent business metrics. Validate reports against underlying data before sharing insights with partners, finance, or leadership, while ensuring patient information is accessed and handled responsibly. Lead bug tracking and triage: Collect and organize issue reports from clinical teams, support, and partners; identify duplicates; reproduce problems in staging; and document clear steps, expected and actual behavior, and supporting screenshots. Lead weekly bug reviews, track fixes, verify resolutions, and communicate updates to the individuals who reported issues. Support clinical product operations: Become a subject matter expert on patient-facing and care-team dashboards, serving as the first point of contact for clinician questions and workflow issues. Manage EMR workflows and integrations, including resolving issues with EMR technical support, particularly for systems such as Athena. Translate clinical workflow needs into clear, actionable requests for product and engineering teams, and communicate new features and changes to clinical users. Maintain accurate clinician-facing guides and training materials, incorporating feedback from clinical teams. Improve operational processes: Coordinate releases and develop clinical release procedures, alongside SOPs for content quality assurance, data requests, bug triage, and recurring cross-functional workflows. Support partner onboarding through checklists, test accounts, and user acceptance testing. Provide regular updates on content, data, and bug queues, and maintain an organized Jira backlog for clinical and operational requests. Requirements: 2–4 years of experience in product operations, business operations, analytics, or a related role, ideally within healthcare or health technology. Strong SQL skills and hands-on experience with a business intelligence tool such as Amazon QuickSight, Tableau, or Looker. Experience managing content through a headless content management system (CMS), ideally Contentful. Familiarity with electronic medical record (EMR) workflows; experience with Athena is preferred. Experience documenting, tracking, and coordinating bug resolution using Jira. Strong written communication skills, with the ability to create clear tickets, SOPs, and operational updates. Ability to explain technical products and workflows to non-technical clinical colleagues and translate their needs into actionable engineering requests. Excellent organization, attention to detail, and a proactive approach to managing multiple priorities. Understanding of the importance of protecting sensitive health information and working in accordance with HIPAA requirements. Nice to have: Content modeling experience in Contentful. Experience creating SOPs or training materials in a clinical or regulated environment. Familiarity with Amazon Redshift and dbt. Previous experience in telemedicine, pharmacy, or health insurance. Basic Python scripting skills or the ability to interpret automated test reports. Experience supporting partner or client integrations. Tools and technologies: Contentful, Amazon QuickSight, Amazon Redshift, SQL, Jira, and staging environments. Benefits: Annual compensation: $70,000–$130,000, plus equity. Health benefits. Unlimited paid time off (PTO). Additional employee perks. Remote work arrangement. Opportunity to contribute to digital healthcare operations and improve patient and clinical team experiences. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1