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Project Lead, Data & AI
anacision GmbH. Independently manage projects in the Data & AI space—from requirements gathering through successful deployment to production and beyond .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing Data and AI projects, from requirements gathering to deployment, while effectively communicating with stakeholders and leading teams. Proficient in evaluating technical solutions and integrating AI into business processes.
Highest-signal resume keywords
Project ManagementData ScienceGenerative AIAgile MethodologiesStakeholder Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisRequirements GatheringTechnical Solution DesignOperationalizationDesign Thinking
Soft Skills
Excellent CommunicationOrganizational SkillsSolution-Oriented ApproachTeam SpiritMotivation
Industry Keywords
Data & AIPublic SectorClient Relationship ManagementRisk ManagementAgile
About the role
Key responsibilities & impact- Independently manage projects in the Data & AI space—from requirements gathering through successful deployment to production and beyond
- Structure and prioritize tasks in collaboration with the team, while taking ownership of operational project leadership
- Work closely with clients to align on requirements, deliverables, blockers, and next steps
- Facilitate workshops and maintain regular, proactive communication with client-side stakeholders
- Continuously manage risks, resources, and timelines
- Evaluate and design business and technical solutions together with data scientists and software developers
- Identify new project opportunities and expand existing client relationships
- Actively contribute to and further develop internal processes
- Support public-sector clients from ideation through the implementation of AI solutions
- Support technical operationalization and functional integration into existing business processes
Requirements
What you’ll need- Completed degree in computer science, data science, mathematics, physics, engineering, or a comparable technical field
- At least 2 years of experience leading projects in data, analytics, or AI, from requirements gathering through operationalization
- Excellent communication skills and experience coordinating with a range of stakeholders
- Strong technical understanding of data science, generative AI, or software development
- Experience with Design Thinking and agile methodologies (Scrum, Kanban, or similar) is a plus
- Excellent organizational skills
- Highly independent, solution-oriented approach to work, strong team spirit, and a high level of motivation and commitment
- Very good German and English skills (C1 or higher)
- A PhD in a technical field is a plus
Benefits
Comp & perks- Flexible working hours, part-time models, and flexible work locations within Germany
- The freedom to drive your own ideas forward
- Dedicated time for individual professional development, including up to 4 hours per week for internal or external training
- Private use of a company laptop and mobile phone
- Financial support for setting up a home office
- 30 days of annual leave
- Bicycle leasing
- Fitness pass for use throughout Germany
- Regular team events
- Regular off-site events
- Monthly opportunities for in-person exchange and social activities