Senior IT Project Manager

• Proven experience managing Data, Analytics, Data Platform, Data Governance, and Data Transformation projects end-to-end in complex global organizations.
• Hands-on project management approach with active involvement in requirements gathering, integration delivery, testing, vendor coordination, and deployment activities.
• Experience leading cross-functional teams including Data Engineers, Data Architects, Business Analysts, Reporting teams, and Business stakeholders.
• Strong knowledge of data governance, metadata management, data quality, data ownership, and regulatory/compliance requirements.
• Proven ability to manage end-to-end delivery of data transformation initiatives, including roadmap planning, risk management, stakeholder engagement, and change management.
• Experience working with integrations involving manufacturing, laboratory, and analytics platforms.
• Delivery mindset.
• Experience in the pharmaceutical industry (Gxp) is a must.

At Fusion, we unite entrepreneurial minds from around the globe to develop and implement game-changing solutions that build lasting relationships with our clients.

We value employees who challenge the status quo through innovation, adapt to diverse client needs in ever-changing environments, and commit to continuous learning-for themselves and their colleagues.

We provide a competitive salary, along with an outstanding work environment that fosters long-term career development opportunities.

We are looking for an IT Project Manager with experience in Data Domain and Data Transformation projects to support the delivery of the Operations Data Hub initiative across a regulated pharmaceutical environment. You will be responsible for planning, coordinating, and delivering projects related to data governance, data architecture, metadata management, system integrations, and data transformation activities, working closely with business stakeholders, technical teams, and external partners.

Key Responsibilities

• Lead IT projects within the Data Domain from initiation through delivery.
• Manage project scope, timelines, milestones, risks, issues, and dependencies.
• Coordinate activities across Data, IT, business teams, and external vendors.
• Facilitate project meetings, workshops, and stakeholder discussions.
• Drive assessment of the current data landscape, including data access, ownership, and contextualization.
• Support definition of data models, metadata management processes, and governance frameworks.
• Coordinate integration activities across MES, laboratory systems, analytics platforms, and enterprise applications.
• Identify project risks and blockers and drive mitigation actions.
• Ensure alignment between technical delivery, business requirements, and regulatory expectations.
• Support rollout planning and adoption of new data management capabilities.