Find some example Project manager function descriptions.

Senior Data Project Manager

We looking for a senior data project manager to join the data & analytics team, with as main
responsibilities:
• Data project management: to manage the portfolio of projects in the data & analytics team
• Data strategy: to support the head of data & analytics in updating the data strategy, and transforming it into
concrete projects
• Legal/DPO: to manage the legal/DPO track end-to-end for different projects
Responsibilities:
• Data project management: manage the portfolio of projects in the data & analytics team:
• Keep track of deadlines and coordinate between the data team, the central PMO team and the IT teams to
ensure that all documentation and deliverables are submitted in time
• Write business requirements and other project documentations
• Create slide decks for the executive committee to give updates on the data roadmap, on projects, etc.
• Data strategy: support the head of data & analytics in updating the data strategy, and transforming it into
concrete projects:
• Align with senior executives from other departments on the data strategy
• Concretize the overarching data strategy within different domains. (e.g. work out a strategy for the role of AI in
claims automation)
• Create slide decks to support and explain the data strategy
• Legal/DPO lead within the data team: manage the legal/DPO track end-to-end for different projects:
• Workshops with business & legal/DPO to ensure compliance for different data projects
• Documentation of processes in risk assessment templates and in the privacy register
• Write out standardized processes to execute and industrialize analytics projects in a compliant way

Profile:
• Extensive experience in project management, and senior stakeholder management (including senior executives
and stakeholders from the management board)
• Experience in defining a data strategy and roadmap
• Experience with legal/DPO aspects of data projects
• Proactive and takes ownership
• Thorough knowledge of the following data domains:
• Advanced analytics: end-to-end knowledge of analytics projects: from analysis to industrialization; knowledge
• f how machine learning should be integrated into processes
• Data transformation/management/governance: knowledge about data delivery, data warehouse, report
building, data governance concepts
• IT data activities: workings of an IT data delivery team, IT architecture, …
• Fluent in Dutch or French and passive knowledge of the second language
• Fluent in English

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