Werkstudent im Projektmanagement für Filialbau bei BLUME2000, unterstützend bei deutschlandweiten Umbauten. Dies beinhaltet vielfältige Aufgaben im Projektteam und aktive Mitgestaltung.
About the role
- Senior Project Manager overseeing cross-functional teams and managing complex projects at LexisNexis. Role involves data analysis and stakeholder negotiations to ensure project success.
Responsibilities
- Conduct stakeholder negotiations that span across portfolios by driving and managing numerous large, complex projects
- Project-manage cross-functional teams by working closely with all aspects of the product development community
- Build development road maps and project schedules
- Resolve issues by working with top Engineering resources
- Perform data analysis relevant to project tasks and make process improvements
- Manage all phases of projects through the Product Development process
- Maintain compliance with corporate and public regulations
- Communicate project statuses, scheduling and facilitating review meetings
- Negotiate with colleagues to request project resources and review resource allocations
Requirements
- 12+ years of IT PMO experience
- Bachelor’s degree in technology, finance, business, or equivalent experience required
- Project Governance certification (PMP, PRINCE2, Agile, etc.) required
- Excellent working knowledge of Microsoft Project, Microsoft Office, and Microsoft Visio
- Extensive IT Project Management experience
- Experience partnering with other project stakeholders to resolve issues
- Detail-oriented with the ability to handle multiple concurrent projects
- Experience in coordinating teamwork flow in a changeable, deadline-driven environment
- Experience of using a broad area of data to inform decision-making
- Advanced problem-solving experience
- Agile knowledge required
- Advanced understanding of resource allocation
- Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
- Advanced programming skills in Python, R, or other relevant languages for data analysis.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Annual incentive bonus
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