Senior Technical Program Manager

Responsibilities

• Align delivery of new vendor integrations at scale by coordinating with deployment and engineering resources.
• Serve as the escalation and coordination point for integration issues during deployment, triaging and diagnosing HL7, FHIR, DICOM, and PACS/RIS/EHR integration problems and driving them to resolution with engineering, implementations, and customer teams.
• Coordinate security reviews, BAAs/data-use agreements for new integration partners.
• Build repeatable playbooks, runbooks, and KPI dashboards that make integrations faster, more predictable, and measurable (tracking KPIs like time-to-go-live, defect rates, and adoption).
• Drive cross-functional execution of roadmap initiatives across the Reporting product line, partnering closely with engineering, design, implementations, and clinical teams.
• Manage program schedules, scope, and dependencies by identifying risks early and developing mitigation strategies.
• Own release coordination, covering QA, testing sign-off, and stakeholder readiness before each deployment.
• Lead the rollout of major features, partnering with writing, implementation and customer success on plans, training, and documentation.
• Own cross-functional communication for large reporting initiatives, keeping leadership, clinical stakeholders, and other business teams informed on progress, risks, and key decisions.
• Drive quarterly planning cycles for the reporting team by facilitating the planning process, aligning stakeholders on priorities, and tracking commitments through to on-time delivery.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
• 6+ years as a Technical Program Manager in a software or healthcare-IT environment, with a track record delivering complex, cross-functional programs from inception through launch.
• Demonstrated experience managing customer-facing integration and deployment programs, including health-system or enterprise go-lives.
• Excellent communication and presentation skills — able to translate between deeply technical engineers and non-technical clinical or IT stakeholders.
• Strong analytical and pragmatic problem-solving skills with sound technical judgment.
• Experience building KPI frameworks and executive-ready reporting to quantify productivity, quality, and adoption.
• Technical skills — integration diagnosis & troubleshooting (required): independently read an interface spec, inspect a live message, and isolate where a failing integration is breaking.
  • HL7 v2: Able to read and interpret message structure (MSH, PID, OBR, OBX, ORM/ORU segments), spot malformed or missing fields, and trace where a message fails in the pipeline.
  • FHIR: Comfortable with REST APIs, common resources (Patient, DiagnosticReport, ImagingStudy, ServiceRequest), JSON/XML payloads, and reading API/auth errors (OAuth2 and SMART on FHIR a plus).
  • DICOM & PACS/RIS: Working knowledge of DICOM objects and key tags, study/series/instance hierarchy, and how worklist (MWL) and image/report flow moves through PACS and RIS systems.
  • EHR integration: Familiarity with how orders and results flow between EHR, RIS, PACS, and reporting/dictation systems, and where integration points commonly break.
  • Interface engines: Hands-on experience with Mirth Connect, Rhapsody, or Cloverleaf — tracing messages, reading channel logs, and understanding routing and transformation.
  • Diagnostic toolkit: Comfortable reading application and interface logs, using API testing tools (e.g. Postman), inspecting network connectivity (VPN/firewall, ports, TLS), and writing basic queries or scripts (SQL, light Python/shell) to investigate issues.
  • Clinical workflow context: Understands radiology reporting and speech/dictation workflows well enough to reason about how an integration defect shows up for an end-user radiologist.

Nice-to-Haves

• Enterprise healthcare delivery experience in regulated environments, with working knowledge of HIPAA, PHI handling, and SOC 2 practices.
• Track record leading complex integrations and go-lives with large health systems or radiology groups, including security reviews and cross-vendor dependencies.
• Change-management experience with radiologist end users.
• Exposure to clinical AI regulatory considerations — risk management, documentation, and when/where FDA or other approvals may apply.
• Experience collaborating with AI/ML engineering teams.