Job
In this role, you will develop innovative data and AI solutions for the finance department by translating business requirements into actionable projects and leading SAP BTP applications.
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Job technologies
Your role in the team
- Join the IT Group Functions & Supply Chain (GFS) Financial Planning team in Ingelheim, Germany, as Senior System Engineer - Data & AI for Finance. You will translate emerging Data, AI, and SAP Business Technology Platform capabilities into measurable value for Finance, connecting business stakeholders with Global Business Services, enterprise data platforms, architecture teams, and IT engineering. Combining strategic consulting, stakeholder management, project leadership, and hands-on solution development, you will shape promising ideas into viable use cases and guide them through implementation.
- Advise Finance stakeholders, including the Digital Finance Community and Finance Data & Analytics team, and qualify and prioritize Data & AI opportunities.
- Translate business needs into viable concepts, distinguish AI use cases from rule-based automation, and recommend suitable technologies and implementation approaches.
- Lead data, AI, and innovation initiatives from assessment through to production implementation, combining project management with hands-on solution development.
- Act as the system lead for Finance applications on SAP BTP, ensuring sustainable design, development, operations, and continuous improvement.
- Partner with SAP BTP, enterprise data platform, and architecture teams to strengthen application development, data integration, API management, and relevant Finance capabilities.
- Coordinate internal and external contributors, monitor emerging Data & AI developments, and communicate progress, decisions, risks, and expected business value.
Our expectations of you
Education
- Master's degree in Computer Science, Business Informatics, Data Science, or a related discipline, or a comparable qualification; alternatively, a Bachelor's degree with substantial relevant experience.
Qualifications
- Sound understanding of data and AI concepts, particularly SAP data structures as a primary source, and the ability to identify suitable AI use cases.
- Proven ability to lead complex implementation or innovation projects, coordinate contributors, and work strategically, analytically, and hands-on in an evolving technology landscape.
- Confident stakeholder management, negotiation, communication, and presentation skills in an international environment, with excellent written and spoken English; German is an advantage.
Experience
- Several years of experience at the interface between business and IT, ideally in Finance, Data & Analytics, AI, or digital solution development.
- Strong development background and preferably expertise in SAP BTP application development; experience with data integration, APIs, cloud architectures, or related technologies is an advantage.
What we offer
- This position has a hybrid setup with at least 2 days per week on site.
- As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package.
- Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.
Benefits
Health, fitness & fun
Topics you will work on
Job locations
About your employer
For over 130 years, Boehringer Ingelheim has been probing, creating and producing novel medications with high therapeutic advantages for people as well as animals. As a family-run pharmaceutical enterprise we plan long-term and consequently invest heavily in research & development. We take great pride in tackling some of the biggest health issues our world faces today. Our vision “Creating Values through Innovation” has always shaped our collaboration while serving both as requirement and momentum at once.
- 1885
- Established Company
- Onsite, Hybrid
- Pharmaceutical Sector, Chemical Industry, Biotech
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