Data Science Manager (m/f/d)

Course overview

The Data Science Manager orchestrates complex data-driven processes, implements advanced analytical methods, and leads teams of Data Scientists. They develop strategies for efficient knowledge extraction from structured and unstructured data, establish robust data security concepts, and ensure compliance with regulatory requirements. The manager is responsible for integrating machine learning models into business processes, optimizing data infrastructure, and promoting data-driven decision-making within the company. They act as a liaison between technical teams and management, communicate analysis results, and define key performance indicators for data-driven projects. 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 • Targeted use of AI models - Recognizing patterns, finding anomalies, utilizing deep learning • Strategically employing data-driven decisions - Real-time analyses and business impact • Effectively presenting analysis results - Data storytelling for decision-makers • Working with data fairly, transparently, and in compliance with the law - 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 Leadership 5.0 - Innovative Leadership Strategies and Team Management in Digitally Shaped Organizations • Leadership 5.0 and digital leadership roles in modern organizations • Communication models and conversation management in digital leadership everyday life • Hybrid and virtual team management with digital tools • Team development 5.0 and building a culture of trust • Motivation, vision, and diversity as leadership resources • Coaching, mentoring, and change support • Reflection and transfer of personal leadership strategies Digital Knowledge Management - Building and Managing Effective Information Structures in IT • Understanding and shaping knowledge management - Concepts, prerequisites, and strategic positioning • Interdisciplinary perspectives in knowledge management • Methodically shaping and digitally supporting knowledge management • Knowledge management in practice: Implementation, integration, and targeted application Computer-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 and dashboard creation • Governance - Data protection and cybersecurity • Ethics and interdisciplinary collaboration in Data Science • Big Data project planning and documentation -----------------…

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