Provide scientific, clinical, and operational advice to internal stakeholders developing proposals: this may include, but is not limited to, providing the strategy to protocol design/clinical development plan, mining data to address important clinical questions relevant to the study, reviewing the protocol for scientific/regulatory soundness and feasibility, identification of target site and principal investigator profiles, anticipated patient recruitment, standard of care and competitive landscape.
As part of our team, you will take on the following responsibilities: You support the Project Management Office (PMO) in introducing project management structures and processes for the project portfolio.You also contribute to expanding the PMO’s range of services, support colleagues in project execution and project administration, and gain detailed insights into managing the project business.You work in day‑to‑day operations as well as on the design and implementation of KPIs, reports, and trainings.You have the opportunity to contribute every day and gain behind‑the‑scenes insights into our company.You quickly take on responsibility as a fully‑fledged team member and receive continuous support from mentors.
As part of our team, you will take on the following responsibilities: You are responsible for designing and conducting IT-related audit reviews within the areas and companies of the DKV MOBILITY GROUP, ensuring compliance with internal and external information security requirements and proper operations.You also design and carry out project-related audits and special audits.You prepare meaningful audit reports, evaluate findings, and monitor the implementation of agreed measures.You support the Head of Audit in creating risk-based annual and multi-year audit plans in accordance with the DKV MOBILITY GROUP audit guidelines.
You are experienced with analytics tools and testing tools and have know‑how in personalization and journey design. You bring service design experience across system and app boundaries and are familiar with product data structures. You have excellent language skills in German and English.
Clinical and market insight: Collect product performance and user feedback for R&D, MACA, and commercial teams to inform life cycle management, next-generation innovations, clinical study designs, and commercial strategies. Share insights, best practice, and data with national and regional MSL networks. Cross-functional collaboration and influence: Partner with internal cross-functional teams, including MACA, R&D, Regulatory, Marketing and national Market Access, to ensure integration of insights into our strategies.
You are responsible for the conceptual, logical, and structural integrity of our Core Data Model as well as the Gold Layer across Azure, Snowflake, and dbt.You ensure that fragmented data sources are transformed into consistent, reusable, and decision‑relevant data products, actively preventing the platform from drifting into team‑specific, incompatible models.You define and maintain central business objects, canonical dimensions, shared metrics, and facts, ensuring that the Core Data Model serves as a stable, business‑oriented foundation across all domains.You develop modeling standards, naming conventions, layering concepts (Staging → Intermediate → Gold), reuse patterns, and dbt design guidelines, and you ensure their consistent implementation across all teams.You safeguard the semantic consistency of the entire data model, resolve domain conflicts, ensure that identical business terms are modeled only once, and review changes affecting core layers.You act as the technical design authority for model changes in Snowflake/dbt, balancing local requirements with long‑term model coherence, and ensuring that all models remain performant, scalable, maintainable, and of high quality.
As part of our team, you will take on the following responsibilities: You are responsible for workforce planning for your assigned area across all relevant planning horizons (VCP, budget and forecast; externally: long‑term planning, budgeting and forecasting) and ensure proactive and efficient resource management.You manage the end‑to‑end monthly, quarterly and annual close processes, including the calculation and posting of personnel provisions, and confidently present the results to external auditors.You perform in‑depth analysis and evaluation of HR KPIs and derive both strategic and operational recommendations for management.You ensure a high level of HR data quality and continuously optimize it as the basis for valid, internationally oriented reporting and meaningful analyses.You take on internal coordination and interface management with international sales organizations and acquired companies, including data preparation and integration into global HR reporting.You are responsible for external coordination with all service providers of sales subsidiaries and acquisitions regarding the provision of HR data, ensuring proper and accurate accounting at all times.As a sparring partner and advisor, you support internal and external stakeholders in all matters related to personnel‑related KPIs within HR controlling.You actively contribute to HR‑related projects, take on sub‑project leadership responsibilities and drive the standardization and further development of the HR KPI system.You support the onboarding and integration of new M&A entities into the group structure (PMI re‑design project). What makes you stand out You hold a completed degree in business administration or a MINT discipline, ideally with a focus on human resources, controlling, statistics, data science or a comparable qualification.You bring a strong understanding of HR controlling, HR reporting and HR processes across the entire employee lifecycle.You have very good knowledge of SAP FI/CO including BW and apply this expertise confidently within the HR controlling environment.You are characterized by a strong analytical mindset and are able to independently create and interpret business cases, comprehensive analyses and variance analyses.You have experience working in international initiatives and projects, for example in optimizing planning and reporting processes, and demonstrate a structured and solution‑oriented approach.You possess strong communication skills and act confidently as a point of contact and advisor for management within your areas of responsibility as well as for other internal and external stakeholders.You demonstrate a high level of technical affinity and work with Excel at expert level.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed.