Data Analysis Project Manager, REMOTE

• Seniority: Strong Mid-Level or Senior. The candidate must possess the professional maturity, confidence, and assertiveness to uphold strict quality standards during a fast-paced delivery cycle.
• Technical Literacy: Strong foundation in Python and Cloud platforms to effectively understand, evaluate, and challenge the analytical test outputs provided by the technical execution team.
• Project Management & Governance: Organized and process-driven, capable of tracking multiple DoR criteria, test statuses, and follow-ups systematically. Ability to manage conflicting priorities effectively.
• Stakeholder Management: Strong communication skills (e.g., clear communication with technical and non-technical stakeholders to explain DoR impacts and timelines). Must be highly resilient, comfortable holding delivery teams accountable to strict criteria, and capable of maintaining a firm stance on quality without compromising

We are specifically looking for a senior candidate who bridges the gap between technical data analysis (Python, Cloud platforms) and firm project governance. This person will act as our quality gatekeeper, managing and validating our Definition of Ready (DoR) criteria with the technical delivery team before the platform goes live.

The Computational Science Centre of Excellence (CS CoE) is undergoing a major migration to a newly built data platform (OneDBM). To ensure a seamless transition and safeguard operational quality before the platform goes live, we have established a strict set of Definition of Ready (DoR) criteria. We are seeking a Data Analysis Project Manager to act as the primary quality gatekeeper during this critical migration phase.

The Operating Framework:
The scientific and business stakeholders define the data analysis requirements and assessment
methods, while the platform delivery team executes the testing. The incoming Project Manager
will sit at the center of this process—reviewing the test outputs, validating readiness against the
DoR, and ensuring the platform meets all quality standards prior to handover.

Quick Details:

• Duration: 6 to 12 months
• Location: Basel (hybrid) OR Poland (fully remote)
• Start Date: ASAP

,[Oversee Readiness Execution: Manage and govern the DoR testing cycle, specifically focusing on the platform's data analysis capabilities., Evaluate & Validate: Collect test outputs from the platform delivery team, evaluate whether the results genuinely meet the agreed-upon DoR criteria, and filter them before passing complex issues to internal Data Analysis Subject Matter Experts (SMEs)., Track Progress: Maintain clear visibility on testing execution, success rates, and outstanding readiness gaps., Bridge Communication: Act as the central liaison between the platform delivery team and internal scientific stakeholders to clarify testing requirements and resolve technical blockers., Quality Representation: Act as the formal representative for platform quality in all readiness meetings, ensuring business requirements are strictly met.] Requirements: Python, Cloud, Data analysis, Project management Additionally: Sport subscription, Training budget, Private healthcare.