Role & responsibilities

1. Requirements Discovery & Radiology Workflow Analysis

• Lead discussions with multiple stakeholders, modality technologists,

operations managers, and business teams to gather functional and non-

functional requirements.

• Understand radiologyspecific workflows including:

- Modality scheduling (MRI/CT/X-ray/Ultrasound)
- Patient preparation & movement
- Safety checks, screening workflows
- Scan execution, reporting, post-processing, and handoffs

• Map endtoend patient journeys within the radiology department, identifying

inefficiencies and AI intervention points.

2. Backlog Definition & Continuous Refinement

• Translate workflow needs into a clear backlog using Theme Epic

Feature User Story structure.

• Ensure all work items meet Feature Definition Templates, include detailed

acceptance criteria, and satisfy Definition of Ready (DoR) before PI

commitment.

• Drive continuous refinement with engineering, AI/ML, and UX teams.

3. Prioritization ∏ Roadmap Ownership

• Own backlog prioritization, balancing:

- Operational efficiency in radiology
- AI model readiness and data quality
- Modality-specific constraints
- Dependencies across hospital systems

• Build and maintain a clear roadmap aligned with clinical and business

objectives.

4. Stakeholder Alignment & Communication

• Demonstrate strong communication, influencing, and negotiation skills to

align technologists,



administrators, and technical teams.

• Convert unstructured or ambiguous business requests into transparent, mature,

and prioritized product increments.

• Facilitate requirement workshops, trade-off discussions, and decision-making

sessions.

5. Technical & AI Understanding

• Possess working knowledge of:

- AI/ML systems involved in patient flow prediction, exam-duration

estimation, slot optimization, workload balancing, etc.

- Computer vision components (if applied to patient movement, modality

room readiness, safety checks).

- Understand how technology choices impact workflow predictability and

patient throughput.

6. Agile / SAFe Execution

• Participate in PI Planning, sprint ceremonies, and cross-team coordination.

• Drive system demos, showcasing improvements to radiology workflows,

throughput KPIs, room utilization, and AI-driven predictions.

• Accept completed features after validating adherence to Definition of Done

(DoD) and clinical relevance.

7. Quality, Usability & Clinical Safety

• Ensure solutions are intuitive for radiology personas (technologists,

radiologists, administrators, schedulers).

• Identify workflow risks, patient safety considerations, and operational gaps

early in the design.

• Advocate for user-centric design with strong focus on reliability and clinical

safety.

📌 Product Owner AI-Enabled Radiology Patient Workflow Management (Bengaluru)
🏢 Staffing Services
📍 Bengaluru