Head of Data Strategy, Analytics & Engineering (m/f/d)

We are convinced that AI-assisted work in the fields of data analytics and engineering can make a significant contribution to significantly improving the wound care and thus the quality of life of patients. At the same time, we are moving in a regulated market (MDR/ISO 13485) with diverse requirements that require well-thought solutions. Various ideas and requirements require consistent prioritization.

have experience in the development and implementation of models, in particular in the fields of predictive analytics, anomaly detection, customer segmentation/scoring and data-based decision-making, experience in personalizing marketing measures based on individual usage, interaction and behavioral data and the development of recommendation algorithms bring sound knowledge of data analysis tools and software solutions (e.g. SQL, R, Python, Tableau, Power BI), Cloud technologies (e.g. AWS, Azure, Google Cloud) and modern data architectures (e.g. Data Lakes, Data Mesh) and processes call your Home Turf, bring at least 5 years of professional experience in data management, data science, data engineering and at least 3 years of disciplinary leadership experience, the ability to inspire teams, promote a culture of innovation, interdisciplinary cooperation and focus on our customers and thus value creation, want to work at least 4 days a week in presence and communication is an important factor for you to cooperate, track record in terms of building meaningful architectures for proprietary data and with regard to AI introductions with significant impact, have completed studies in computer science, statistics, mathematics, business informatics or a corresponding training with continuous and intensive training, bring fluent German and English knowledge into word and writing.

You assume the overall responsibility for the data sector – from the data base to the development and implementation of models to their measurable effect in the company and with our customers. Therefore, the development and implementation of a company-wide data strategy is in close cooperation with relevant stakeholders, e.g. from management, marketing, content, sales, product development or operations. You create the requirements for pattern recognition to address our customers individually on the basis of precise predictions, thereby contributing to value creation via measurable growth impulses and efficiency increases. To do this, you identify strategically sensible use cases in close, active exchange with the specialist areas, prioritize them systematically and operationally. You evaluate new technologies and methods for improving data analysis. Together with IT, you develop and implement a scalable, secure and sustainable data architecture. Its goal is to introduce AI applications such as machine learning models or natural language processing for customer interactions, to scale their benefits in the company and at the same time to optimize internal processes, to make precise predictions and to promote data-based corporate culture. You develop and implement company-wide data management strategies, policies and processes to ensure efficiency and effectiveness in all business areas. You establish and monitor data governance, data quality and compliance and bring standards in line with data protection laws (e.g. GDPR) and internal guidelines. The establishment, management and continuous development of an interdisciplinary data, data analytics, data science and AI team is part of your claim as a leader. .