Data Science Project Manager (m/f/d)

Course overview

The Data Science Project Manager connects data analysis with structured project management. They are responsible for planning and executing AI and analysis projects using agile methods. Their main tasks include defining project goals, resource allocation, stakeholder management, and ensuring compliance with data protection regulations. The project manager coordinates interdisciplinary teams, oversees the integration of algorithms, and ensures data integrity. They identify risks, implement solutions, and ensure timely project completion. The role requires both technical understanding and communication skills. Data Science & AI - Data Analysis and Decision Support through Intelligent Systems • Strategic use of AI and Data Science - Future trends and application potentials • Managing and preparing data sources - Structuring and automating data flows • Practically applying Data Science tools - Technologies and frameworks in use • Developing and analyzing data models - From EDA to predictive forecasts • Purposefully deploying AI models - Recognizing patterns, finding anomalies, utilizing deep learning • Strategically using data-driven decisions - Real-time analyses and business impact • Effectively presenting analysis results - Data storytelling for decision-makers • Working fairly, transparently, and in compliance with data regulations - GDPR and explainability in practice • Overcoming pitfalls in data practice - Promoting data culture and acceptance • Successfully measuring and managing data projects - Optimization through feedback and KPIs Artificial Intelligence - Key Competencies for IT-Supported Applications • Artificial Intelligence and its strategic importance for companies • Industry-specific AI application areas and use cases • AI project management with Cross Industry Standard Process for Data Mining and agile methods • Data quality and data governance for AI systems • Legal compliance and ethics according to the European Union AI Act and General Data Protection Regulation • AI technologies and enterprise integration • Organizational development and competency management for AI transformation Project Management - Classical and Agile Methods (Scrum & IPMA) • Project management according to DIN 69901 and IPMA competency model • Strategic project alignment with SWOT analysis and business case • Project initiation and planning with structuring and planning methods • Stakeholder management, risk management, and project communication • Project controlling and success measurement with key figures and deviation analyses • Digitalization and sustainability in modern project management • Agile project management and Scrum framework according to the Scrum Guide • Scrum events, product backlog refinement & servant leadership IT-Supported Big Data Analysis & Data Science - Technologies, Security, Applications • Data-driven organizations and business models • Data competence • AI competence • Big Data technologies and architecture • Data visualization a…

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · München · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Dortmund · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Heidelberg, Neckar · Combined Learning