IT Project Manager / Senior Business Analyst

At Newpharma, we are looking for a hands-on IT Project Manager / Senior Business Analyst to support complex, transversal initiatives across our organization.

This role is strongly analysis-driven, complemented by project coordination responsibilities. You will mainly work on sub-projects embedded in existing team roadmaps, ensuring that cross-team deliveries are coherent, production-ready, and sustainable.

You will operate in an environment where multiple systems, interfaces, and dependencies coexist, requiring rigor, pragmatism, and a strong solution-oriented mindset. This is not a “pure delivery” or “feature factory” role, but a position for someone who enjoys deep analysis, structuring complexity, and making things work end-to-end.

·         Dive deep into complex, cross-functional problems involving multiple systems and data flows

·         Analyze business needs and translate them into clear, structured, and actionable specifications

·         Work closely with architects, developers, and stakeholders to ensure feasible, coherent, and robust solutions

·         Identify impacts, dependencies, risks, and inconsistencies across systems

·         Ensure solutions are scalable, maintainable, and aligned with long-term company growth

·         Communicate clearly on content, progress, risks, and decisions to all relevant stakeholders, adapting the level of detail and perspective as needed

·         Coordinate transversal sub-projects integrated into existing team roadmaps

·         Align stakeholders, timelines, and dependencies across teams

·         Monitor progress, anticipate issues, and ensure deliverables are usable in production

·         Ensure overall consistency between parallel initiatives and ongoing projects

·         Contribute to delivery quality through structure, anticipation, and coordination

·         Proactively identify opportunities to simplify, stabilize, and improve existing processes

·         Balance creativity with pragmatism, within existing technical and organizational constraints

·         Stay attentive to emerging practices and tools (including AI-based tools) that can improve efficiency and quality of analysis