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À propos
The R&D IT Project Manager will oversee SGQO projects supporting system enhancements, AI automation projects for Quality, and Clinical Portfolio & Analytics Operations. The Project Manager has responsibility for the health and success of projects within a matrixed organization with direct relationships with various groups in the business as well as IT. This role requires the ability to: Monitor, manage, and ensure predictable delivery of projects in a deadline-driven environment. Time and *** resources. Drive delivery and accountability of internal staff, vendors, contracted resources, and third-party project managers. Own the quality of the project delivered. Anticipate and escalate risks and issues that require assistance, attention, or executive resolution. Prioritize tasks for self and others. Articulate critical paths for each project. Effectively communicate project status to leadership, verbally or in written form. The R&D IT Project Manager will monitor activities of *** resources and external vendors. The R&D IT Project Manager is accountable for ensuring that the projects are delivered according to committed scope, approved budget, and target dates. The R&D IT Project Manager will ensure delivery of high-quality outcomes per agreed cadence and methodology. Experience: 10+ years project management experience, including budget accountability 8+ years experience as an IT professional Comfortable with both waterfall and Agile methodologies, and familiarity with tools including MS Project and JIRA Experience with managing execution of projects per specific objectives – business process improvement, change management, Proof-of-Concepts, system enhancements, etc. Experience with GxP-regulated system projects, including requirements gathering, planning, and execution within a highly structured framework and SDLC. Experience in leading daily stand-ups and cross-functional meetings for nimble, fast-moving teams Proven ability to motivate colleagues and manage stakeholder priorities in a deadline-oriented environment Strong analytical and creative problem-solving skills Excellent communication skills – particularly organizing and presenting project information to management Capable of working well under pressure; highly-organized with ability to focus on priorities Capable of multi-tasking across projects Capable of working independently Experience working with third party vendor management Background in AI automation for Clinical Studies and R&D Quality is a plus The following domain and system platform expertise is a plus: Clinical programs and study management Clinical Portfolio Management - Planisware QMS – Trackwise, QUMAS and Veeva Data Robot, Captario SUM Education: BA or BS in Computer Science or Clinical Study Management-related field required Graduate degree in a relevant field preferred PMP certification or equivalent credentials preferred
Compétences linguistiques
- English
Avis aux utilisateurs
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