Project Manager​/RTE & Scrum Master - AI-Driven Clinical Data Management

Project Manager/RTE & Scrum Master - AI-Driven Clinical Data Management - 6990

Contract Duration: 16 months

Hybrid: 50% home office

Our client is a leading Swiss multinational healthcare company headquartered in Basel, Switzerland. Operating in Pharmaceuticals and Diagnostics, it is one of the world’s largest biopharmaceutical companies and a global leader in in-vitro diagnostics and cancer treatments. Our client is known for its strong focus on innovation, particularly in personalized healthcare, and has played a major role in developing treatments for oncology, immunology, infectious diseases, and neuroscience.

We are looking for a Project Manager who also serves as Scrum Master for three delivery teams within a strategic programme that applies agentic AI and rule-based automation to clinical trial data review. The programme is in active build with a fixed MVP deadline, a distributed team of approximately 50 people across 5 delivery teams, and GxP regulatory requirements.

The perfect candidate is a pragmatic, hands‑on servant leader who thrives in ambiguity and leads by enabling the team rather than controlling them. He maintains a high‑trust, psychologically safe environment while remaining firm on scope and commitments. Balancing a sharp eye for detail with a broad program‑level perspective, he leads by example—equally comfortable shaping high‑level strategy or diving into the trenches to update a RAID log or fix a broken Jira filter.

• Own the delivery plan across multiple parallel teams from current state through MVP and subsequent releases
• Drive PI-level planning, manage cross-team dependencies, and resolve blockers before they hit the critical path
• Maintain the RAID log with clear owners, deadlines, and recommendations
• Enforce scope discipline through a structured requirements intake and triage process
• Release management: develop and maintain a release calendar and schedule, coordinating with development, QA, and operations teams on timelines. Lead post‑implementation reviews to identify release cycle process improvements.

• Facilitate sprint planning, daily standups, reviews, and retrospectives for the teams
• Shield teams from external disruptions and remove impediments quickly
• Coach team members on agile practices and continuous improvement
• Track sprint health (velocity, burndown, blocked items) and surface concerns early
• Support Product Owners with backlog refinement, story breakdown, and Definition of Done compliance
• Facilitate Scrum of Scrums, PO Sync, and dependency resolution sessions across all 5 delivery teams
• Manage the Jira ALM project structure as the single source of truth for programme status
• Ensure consistent Jira hygiene across all teams (issue types, labels, linking, workflows)
• Enable effective collaboration between co‑located (Basel) and virtual (US, India) team members
• Provide transparent program status reporting to leadership
• Manage stakeholder expectations around MVP scope and post‑MVP deferrals
• Coordinate with adjacent programmes and platform teams on integration dependencies

• 7+ years of project management experience in software delivery, including 3+ years managing programmes with multiple parallel teams
• Demonstrated Scrum Master experience – you have facilitated agile teams, not just observed them. You know how to run an effective retro and how to coach without directing
• Pharmaceutical or Life Sciences industry experience with understanding of GxP requirements and what inspection readiness means in practice
• Hands‑on Jira experience – you have configured and managed Jira projects, not just consumed reports. Xray test management experience preferred
• Experience with scaled agile delivery (SAFe or similar) and the pragmatism to know when to adapt the framework to the situation
• Strong risk and dependency management skills with a bias toward action
• Experience managing distributed hybrid teams across multiple time zones
• Fluent English communication – written and verbal
• Clinical data management domain familiarity – you understand CRFs, EDC systems, data queries, and the data review process at a working level
• Experience with AI/ML product delivery, particularly the challenges of validating non‑deterministic systems
• GxP validation experience for AI/ML or software systems in pharma
• Experience with clinical data systems (Medidata Rave, CDMS, RBQM tools)
• CSM, PSM, SAFe SM/RTE, PMP, or equivalent certification