Live opening · Posted 1 day ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
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.
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.
Employment type
Full-time
Work arrangement
Yes
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