Jobtitel und Unternehmen

Lead Software Engineer - Process Intelligence (all genders) {Informatiker/in} bei Bayer AG Pharmaceuticals

Aufgaben

Act as the domain thought leader, bringing deep process knowledge and innovative perspectives to business stakeholders
Build strong stakeholder engagement and act as the primary point of contact for domain leadership, ensuring adoption and measurable impact of process intelligence
Define and own the process intelligence roadmap for a specific business domain, aligning with enterprise strategy and business priorities
Gather and analyze business requirements, translating them into technical designs and actionable specifications
Provide technical expertise and support to business stakeholders, ensuring process intelligence insights drive measurable improvements
Oversee and lead the design, development, and deployment of process intelligence, task mining, and execution solutions, ensuring scalability and maintainability
Develop, maintain, and optimize data pipelines and models to enable seamless data integration and high-quality insights
Leverage AI-driven techniques to enhance automation, analytics, and decision-making
Provide guidance, mentoring, and technical leadership to engineers and analysts, fostering shared ownership and strong delivery capabilities

Masters degree in Computer Science, Information Systems, Business Administration, Mathematics, or a related field
Several years of experience in process intelligence, technology consulting, or software implementation, with a strong focus on data engineering, process mining, and automation
Hands-on experience working in at least one business domain, with a deep understanding of process workflows, KPIs, and optimization opportunities
Experience with leading process Intelligence platforms, including the design and implementation of data models, dashboards, execution apps, and automation workflows
Strong background in developing, maintaining, and optimizing data pipelines to enable seamless data extraction, transformation, and integration for process mining analysis
Proficiency in Multi-Event Log modeling and Object-Centric Process Mining (OCPM) to enhance process insights
Hands-on experience with cloud platforms and Databricks for scalable data processing, big data analytics, and machine learning integration into process mining solutions
Expertise in AI-driven process mining techniques, including predictive analytics, natural language processing (NLP), and machine learning
Fluency in English; additional languages are a plus

Competitive compensation package with base salary and annual bonus
Flexible work models, including hybrid and part-time arrangements
Family-friendly benefits, such as company daycare, childcare support, and time off for dependent care
Professional growth opportunities through learning and development programs, training, coaching, and mentoring
Health and wellness initiatives, including free health checks and self-care measures
Inclusive work environment that celebrates diversity and individuality