9 data governance jobs found in Munich

A GOOD INTERNSHIP IS PRACTICAL, NEVER THEORETICAL. SHARE YOUR PASSION. Success is teamwork. Only when experts share their expertise and enthusiasm can a workflow be created in which ideas flow. We call this a culture of innovation. That's why we give students not only the opportunity to listen, but above all to have their say and think further. We, the BMW Group, offer you an exciting and varied internship in the area of ​​data governance, process and data analytics purchasing. The M area is an elementary part of the entire network. We drive the further development of business-oriented reporting and analytics (R&A) solutions with the latest business intelligence and advanced analytics AI methods. For us, digitalization is the key to a networked world that offers us unlimited possibilities. What awaits you? An interesting job in the context of the digitalization of purchasing awaits you. Together we develop digital solutions for...

Data Governance & Infrastructure, Vice President Who we are looking for Data Governance & Infrastructure - in EMEA - Ensuring the coherence of Data Management Methods and Tools between different divisions/departments, and between business & technology. Provide operational BCBS239 expertise to support stakeholders in projects related to BCBS239 compliance (eg, data traceability for critical risk reports, data quality dashboards, data sharing agreements, , Support the Data Organization team and communities (focusing on the BCBS239 stakeholders), especially with training , coaching and active communication , Data Policy team, and Data Governance Solution team, You will be joining the Data Management Office department Responsibilities Project Planning: Develop and execute comprehensive project plans for BCBS 239 compliance initiatives, considering architectural, strategic, and requirement aspects. Architectural Design: Collaborate with enterprise...

a management, data integration and data analysis, as well as operational experience with common tools such as Atlan, IBM Cloud Pak, Informatica or Collibra. Knowledge of data governance:  You can demonstrate several years of practical experience and knowledge of data governance frameworks, processes and best practices. This includes understanding of policies, responsibilities, data strategy and compliance requirements. Technical understanding:  You should have a basic technical understanding of databases, data architecture, data integration tools and data analysis technologies. This helps when communicating with IT professionals and implementing data governance measures. Experience with Snowflake, dbt or Airflow is an advantage but not required. Stakeholder management:  You have excellent communication skills to interact effectively with various stakeholders. This includes the ability to explain complex technical concepts in an understandable way and to...

Your Role In cross-functional teams, you will drive & manage projects in the field of Machine Learning (ML) and Data Science. In this role, you will support the preparation and execution of Data Science / ML projects: from setting the scope to roadmap-planning, to execution in an agile manner, to lessons learned that can be integrated into new projects. As part of a vivid team, you will be in contact with users from different ZEISS departments, assess and plan Data Science- and ML-related tasks and report outcomes and results. With your organizational and project management skills, you will enable our experts to focus on technical, high-quality solutions. You will be the interface between our technical experts and different ZEISS departments to create great Software products. You will be an advocate of the work of our Data & Analytics team. Your Profile An excellent University degree (Ph.D. is a plus) in Computer Science, Engineering, Mathematics,...

Haven't we all always dreamed of achieving great things? It's high time these dreams came true... As a specialist bank, we focus on selected future sectors - nationally and internationally. What counts is real impact. We want to help turn great ideas into progress. That's why we give 100 percent every day and give our customers (companies, financial institutions, savings banks and public institutions) what they need. We understand business challenges, find optimal solutions and are partners on equal terms. Do you want all of this too? Then come on board and become part of our team as a #ProgressFinancier in the   Finance department in the   Accounting Systems & Processes   team   in Munich! your mission Responsible collaboration in an interface position between finance and IT with a wide range of tasks Responsible collaboration in the ESG (Environmental Social Governance) project (at least 50%) Ensuring ongoing operations (data management, technical...

As a Data Management and Operations (DMO) Specialist, you will play a crucial role in managing, curating, and integrating data from multiple sources as well as supporting execution of end-to-end computational pathology workflows, while ensuring quality and compliance at different steps. You will work cross-functionally with internal and external stakeholders to optimize data resources and support high-quality analysis and decision-making processes. The position is initially limited to one year. Key Responsibilities Data Integration and Management:  Manage and integrate diverse datasets, including imaging data, patient/sample metadata, real-world evidence, clinical trials, and image analysis results, ensuring data consistency. Tool Development and Process automation:  Develop and refine data management tools and pipelines using programming languages ​​(eg, Python) to enhance project efficiency. Emphasize automation, scalability, and...

Join the Advance Analytics team at Daiichi Sankyo as a Data Scientist, where innovation and inspiration drive our work. In this exciting role, you'll develop products that empower data-driven decision-making in a commercial setting. As a Data Scientist, you'll create solutions using data, machine learning, and AI. Collaborating with a cross-functional team, you'll identify business opportunities, develop hypotheses, design experiments, analyze results, and share insights with stakeholders. You'll also advise business stakeholders on interpreting results and choosing the best solution strategies. Finally, you'll help bring selected products to production and scale. At Daiichi Sankyo, we care for every heartbeat. Join us to make a difference by integrating digital excellence into our core business. Roles & Responsibilities: Analyze large datasets to extract actionable insights and inform business decisions Develop and implement predictive models to support business...

Munich Permanent full-time DMG MORI EMEA GmbH DMG MORI is a world-leading manufacturer of high-precision machine tools and is represented in 43 countries - with 116 sales and service locations, including 17 production plants. In the "Global One Company", more than 13,000 employees drive the development of holistic solutions in the manufacturing environment. Our portfolio includes sustainable manufacturing solutions based on turning, milling, grinding, drilling, ultrasonic, laser technology and additive manufacturing. With technology integration, end-to-end automation and digitalization solutions, we enable productivity to be increased while resource efficiency is increased. What tasks await you? Support & expansion of our metadata-oriented ETL framework administration of our data lakehouse Provision, operation and monitoring of infrastructure and applications for data analysts, data engineers & data scientists Integration of...

Aschheim (Munich), Karlsruhe, Münster from now on We are the digitalization partner of the cooperative financial group and combine decades of banking expertise with modern information technology. The IT solutions and services tailored specifically to banks range from data center operations to the agree21 banking process and app development. We use pioneering technologies such as artificial intelligence or smart data and place great emphasis on process optimization and regulation. We have set ourselves the goal of enabling innovative digital banking and near-banking experiences for over 1,000 banks and more than 30 million bank customers. We therefore systematically invest in the know-how of our more than 4,900 employees and view sustainability as a strategic corporate goal. Our collaboration model is characterized by an agile, cross-functional way of working in all areas of the company. We connect people and markets of tomorrow - simply. digitally. securely. We are...