Project Manager

• Own client onboarding projects, including scheduling meetings, and aligning internal and external stakeholders to a complex delivery process.
• Develop deep familiarity with internal processes, including product development, R&D releases, and implementation.
• Scope and plan complex projects for successful execution.
• Proactively anticipate risks and challenges related to on-time delivery and mitigate/align with stakeholders internally and externally.
• Manage 5-6 projects simultaneously.
• Create comprehensive weekly status reports and communication plans to executive sponsors and internal/external project teams.

• Partner with internal stakeholders (Algorithm and Product Managers) to define data needs and translate them into structured collection plans and catalogs.
• Lead data projects from the planning stage through execution, coordinating with our driving teams, to final delivery.
• Build and maintain clear dashboards using BI tools to monitor data quality, validity, and delivery progress in real time.
• Perform deep-dive research into various data components to identify and resolve anomalies, gaps or bottlenecks in our data pipelines.
• Improve processes by innovation and outside-the-box thinking, applying AI-driven tools to build creative MVPs and POCs that automate workflows and solve various challenges.
• Implement high standards for data validation, proactively identify trends, and raise "red flags" to stakeholders when data quality drops.

Technical Data Project Manager – Temporary

• Oversee a comprehensive project on the Nexxen SSP platform
• Develop and implement project-related guidelines, materials, and workflows
• Identify and analyze growth opportunities, including new formats and offerings
• Collaborate with cross-functional teams to ensure project milestones are met
• Prepare and present updates, insights, and opportunities in sales meetings
• Build strong relationships with internal stakeholders
• Monitor project progress and make data-driven decisions to optimize outcomes

• Manage clinical data, questions and requests received from field, interpret information in clinical context
• Investigate issues, classify by domain, write tickets for development teams and coordinate follow-ups
• Conduct basic statistical analysis using Excel and MATLAB/Python
• Organize and present findings in a clear and structured manner
• Cross-functional support by providing data and clinical insights (marketing, training etc.)
• Support writing of scientific publications with data analysis and technical input
• Act as the primary link between field teams and R&D, ensuring effective flow of feedback and technical inquiries
• Support marketing and field education teams, including data analysis, visualization and data-driven insights
• Prepare, present, and communicate technical findings in a clear, structured manner for technical and non-technical teams
• Support the writing of scientific publications

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Project Manager

Technical Data Project Manager – Temporary

Project Manager

Algorithm Engineer, Project Manager – Maternity Leave Replacement