• Plan, coordinate and follow up GDTS Cloud initiatives using a structured, practical and results-oriented project management approach.
• Manage priorities, dependencies, risks, issues, decisions, milestones and next steps transparently.
• Prepare roadmaps, status summaries, executive materials, decision logs and progress documentation.
• Facilitate workshops, refinement sessions, follow-up meetings and cross-functional alignment.
• Analyse current and future processes related to GDTS Cloud, Continued Process Verification, reporting, dashboards and data consumption.
• Translate business and quality needs into functional, technical and data requirements, including acceptance criteria and assumptions.
• Define and document data flows, interfaces, system dependencies, transformation rules, controls and validation points.
• Work with data sources, ingestion, cleansing, mapping, contextualisation, metadata, data quality, audit trail and traceability.
• Support the connection between GDTS Cloud and BI Dataland-type ecosystems, including data products, downstream consumers and analytical reporting.
• Coordinate multidisciplinary teams and suppliers, resolve blockers constructively and follow up commitments against agreed quality criteria.
• Contribute to transition, training, handover, operational support and long-term solution sustainability.

• Degree or equivalent professional experience in information technology, systems analysis, data management, engineering or a related discipline.
• Senior experience in IT or data project management, functional analysis or systems analysis, including end-to-end delivery from discovery through transition and support.
• Experience coordinating multidisciplinary teams and working with global stakeholders, suppliers, business functions and technical teams.
• Practical knowledge of cloud data ecosystems, data lakes, data integration, data quality, metadata, interfaces, reporting and analytical consumption.
• Experience working in regulated or GxP environments, with attention to validation, audit trail, traceability and compliant documentation.
• High autonomy, ownership and the ability to operate effectively with limited supervision.
• Strong analytical thinking and the ability to structure complex or ambiguous information.
• Clear written, verbal and executive communication, adapted to technical and business audiences.
• Disciplined organisation, documentation and follow-up, with a strong focus on decisions and delivery.
• Familiarity with BI Dataland or equivalent enterprise data platforms is desirable.
• Professional working English. German or Spanish is an additional asset depending on stakeholder needs.

• GDTS Cloud use cases are clearly defined, prioritised and traceable.
• Decisions concerning data, interfaces, models, reporting and ownership are documented and approved by the relevant stakeholders.
• Teams work with a common structure for priorities, actions, risks and dependencies.
• Deliverables support scalable, reusable and governed cloud solutions aligned with the BI Dataland ecosystem.
• Executive communication remains clear, concise and supported by disciplined documentation.

Please note: The job title used in this advertisement may differ from the official contractual title.

IamBoehringerIngelheim because…

We are continuously working to design the best experience for you. Here are some examples of how we will take care of you:

• Flexible working conditions
• Life and accident insurance
• Health insurance at a competitive price
• Investment in your learning and development
• Gym membership discounts