Job
- Level
- Lead
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Leverkusen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you define and implement the Process Intelligence roadmap, analyze requirements, develop technical designs, and lead projects to improve efficiency and automation.
Job Technologies
Your role in the team
- You act as the point of contact for the domain and bring in deep process knowledge as well as innovative perspectives into the exchange with the specialist departments.
- You build strong relationships with stakeholders and maintain them, promote adoption among domain owners, and thus ensure a measurable added value of the Process Intelligence solutions.
- Definition and responsibility for the Process Intelligence roadmap of a specific domain (e.g., Procurement) aligned with corporate strategy and business priorities.
- Collection and analysis of technical requirements as well as translating these requirements into technical designs and actionable specifications.
- Identification, prioritization, and implementation of value-adding use cases to achieve measurable improvements (cost reduction, efficiency enhancement, compliance).
- Technical consulting and support for business units; ensuring that Process Intelligence insights lead to measurable improvements and well-informed decisions, including effective visualizations.
- Control and management of the design, development, and deployment of process intelligence, task mining, and execution solutions, ensuring scalability and maintainability.
- Development, maintenance, and optimization of data pipelines and models for seamless data integration and the generation of high-quality insights.
- Use of AI-powered methods (predictive analytics, NLP, ML, LLMs, Copilots) to enhance automation, analysis, and decision support.
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Our expectations of you
Education
- Completed university degree (Master's) in Computer Science, Business Informatics, Business Administration, Mathematics, or a related field.
Qualifications
- Solid background in Data Engineering & Integration: development, operation, and optimization of data pipelines for Process Mining analyses.
- Proficient handling of process mining data models, including multi-event log modeling and object-centric process mining (OCPM).
- Knowledge of enterprise applications and data structures (e.g., SAP S/4HANA, ECC, Ariba, ServiceNow, Salesforce) as well as their integration points for process mining and automation.
- Practical experience in cloud platforms and Databricks for scalable data processing, big data analytics, and ML integration in process mining solutions; expertise in AI-powered techniques (predictive analytics, NLP, ML).
- Very good spoken and written English skills; additional languages are a plus.
Experience
- Several years of experience in Process Intelligence, Technology Consulting, or Software Implementation with a strong focus on Data Engineering, Process Mining, and Automation.
- Domain expertise in at least one business area (e.g., Finance, Procurement, Supply Chain, HR, Customer Service) with a deep understanding of process workflows, KPIs, and optimization potential.
- Experience with leading Process Intelligence platforms (e.g., Celonis), including the design and implementation of data models, dashboards, execution apps, and automation workflows.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
Bayer AG
Bayer AG is a globally active company with core competencies in the life science fields of health and nutrition. We develop our products and services for the benefit of people and the planet, and are committed to addressing the global challenges of a constantly growing and aging world population.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Lead Software Engineer Process Intelligence
- Location
- Leverkusen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
