Technical Delivery Manager – Medical Imaging Visualization & Reporting

Role Summary

We are seeking an experienced Technical Delivery Manager (TDM) to lead end-to-end delivery of medical imaging visualization and reporting platforms, including PACS viewers, enterprise imaging, AI-enabled workflows, and analytics dashboards.

This role sits at the intersection of engineering, product, clinical stakeholders, and enterprise customers, ensuring predictable, high-quality delivery of complex healthcare imaging solutions across cloud and on-prem environments.

Key Responsibilities

Delivery & Program Management

• Own end-to-end delivery of imaging visualization and reporting products (2D/3D viewers, structured reporting, AI overlays).

• Plan and execute delivery using Agile / SAFe / Hybrid methodologies.

• Manage roadmaps, milestones, dependencies, risks, and delivery metrics.

• Drive cross-team coordination across frontend, backend, AI/ML, DevOps, QA, and integration teams.

• Ensure on-time, on-scope, and on-quality delivery commitments.

Medical Imaging Domain Leadership

• Lead delivery of solutions involving DICOM, non-DICOM, VNA, RIS, PACS, and Enterprise Viewer platforms.

• Ensure correct implementation of:

  • Imaging workflows (order → acquisition → interpretation → reporting → distribution)

  • Visualization (MPR, MIP, VR, cine, hanging protocols)

  • Structured and narrative reporting

• Act as a bridge between technical teams and clinical stakeholders (radiologists, cardiologists, operations).

Technical & Architecture Oversight

• Collaborate with architects on:

  • Viewer architectures (web-based, zero-footprint, desktop)

  • Scalable backend services (study retrieval, rendering, caching)

  • AI integration pipelines (inference, annotations, GSPS, overlays)

• Review technical designs for performance, scalability, security, and reliability.

• Guide teams on cloud-native delivery (AWS / GCP / Azure).

Quality, Compliance & Security

• Ensure adherence to healthcare compliance standards:

  • HIPAA, GDPR, ISO 13485/62304 (as applicable)

  • DICOM conformance and IHE profiles

• Drive non-functional requirements:

  • Performance (large studies, 3D rendering)

  • Availability, scalability, and resilience

  • Security and data privacy

• Lead release readiness, UAT, and production go-lives.

Stakeholder & Customer Engagement

• Act as the primary delivery point of contact for enterprise customers.

• Present delivery status, risks, and mitigation plans to executive stakeholders.

• Support customer demos, pilots, and phased rollouts.

• Partner with Product Management to translate clinical and business needs into executable delivery plans.

Requirements

Experience

• 15+ years in software delivery, with 5+ years in healthcare imaging or clinical systems.

• Proven experience delivering PACS, Enterprise Viewer, VNA, or Imaging AI solutions.

• Strong background in large-scale SaaS or enterprise healthcare platforms.

Technical Skills

• Solid understanding of:

  • DICOM, HL7, FHIR (working knowledge)

  • Medical imaging workflows and reporting

  • Web technologies for visualization (HTML5, WebGL, streaming)

  • Backend services, APIs, microservices

• Familiarity with:

  • AI/ML in imaging (inference workflows, annotations)

  • Cloud platforms (AWS, GCP, Azure)

  • DevOps, CI/CD, containerization

Delivery & Leadership Skills

• Strong Agile delivery leadership (Scrum, SAFe, Kanban).

• Excellent risk management and dependency tracking skills.

• Ability to manage multiple parallel delivery streams.

• Exceptional communication skills with both technical and non-technical audiences.

Preferred Qualifications

• Experience delivering FDA / CE-marked medical software.

• Exposure to cardiology imaging, pathology, or 3D advanced visualization.

• Prior experience working with radiologists or clinical operations teams.

• PMP, SAFe, or Agile certifications (preferred).

Key Competencies

• Healthcare domain depth

• Technical credibility with engineering teams

• Strong execution and accountability mindset

• Customer-centric delivery approach

• Ability to operate in fast-paced, high-compliance environments

Success Metrics

• On-time delivery of committed imaging features and releases

• High customer satisfaction and adoption

• Stable, high-performance imaging platforms in production

• Reduced delivery risks and escalations

• Strong collaboration across product, engineering, and clinical stakeholders