ONIQ
Lead DevOps Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSenior
Köln, Berlin
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BABayer
Lead Software Engineer - Process Intelligence(m/w/x)
Leverkusen
Part-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
You will bridge the gap between strategy and technology by leading a team to deliver AI-driven process insights that transform how the company operates and makes data-backed decisions.
Requirements
- Master’s degree in Computer Science, Information Systems, Business Administration, Mathematics, or related field
- Experience in process intelligence, technology consulting, or software implementation
- Hands-on experience in at least one business domain
- Experience with leading process Intelligence platforms like Celonis
- Background in developing and optimizing data pipelines
- Proficiency in Multi-Event Log modeling and OCPM
- Experience with cloud platforms and Databricks
- Expertise in AI-driven process mining techniques
- Fluency in English
Tasks
- Act as the domain thought leader
- Build strong stakeholder engagement
- Serve as the primary contact for leadership
- Define and own the process intelligence roadmap
- Align domain initiatives with enterprise strategy
- Translate business requirements into technical designs
- Provide technical expertise to business stakeholders
- Communicate findings through compelling visual narratives
- Lead the design and deployment of execution solutions
- Ensure solution scalability and maintainability
- Develop and optimize data pipelines and models
- Leverage AI and machine learning for automation
- Mentor and guide engineers and analysts
- Foster shared ownership and strong delivery capabilities
Work Experience
approx. 4 - 6 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
CelonisMulti-Event Log modelingObject-Centric Process Mining (OCPM)DatabricksCloud platformsPredictive analyticsNatural language processing (NLP)Machine learning
Benefits
Competitive Pay
- •Attractive base pay
Bonuses & Incentives
- •Annual bonus
- •Individual performance award
Other Benefits
- •Flexible and appreciative benefits
Flexible Working
- •Hybrid work models
- •Part-time arrangements
- •Flexible work hours
Childcare
- •Company daycare centers
- •Support finding childcare
- •Summer camps for children
Family Support
- •Time off for care
Learning & Development
- •Learning and development opportunities
- •Bayer Learning Academy training
Mentorship & Coaching
- •Development dialogues
- •Coaching and mentoring programs
Healthcare & Fitness
- •Free health checks
Informal Culture
- •Inclusive work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bayer and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BABayer
Lead Software Engineer - Process Intelligence(m/w/x)
Leverkusen
Part-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
You will bridge the gap between strategy and technology by leading a team to deliver AI-driven process insights that transform how the company operates and makes data-backed decisions.
Requirements
- Master’s degree in Computer Science, Information Systems, Business Administration, Mathematics, or related field
- Experience in process intelligence, technology consulting, or software implementation
- Hands-on experience in at least one business domain
- Experience with leading process Intelligence platforms like Celonis
- Background in developing and optimizing data pipelines
- Proficiency in Multi-Event Log modeling and OCPM
- Experience with cloud platforms and Databricks
- Expertise in AI-driven process mining techniques
- Fluency in English
Tasks
- Act as the domain thought leader
- Build strong stakeholder engagement
- Serve as the primary contact for leadership
- Define and own the process intelligence roadmap
- Align domain initiatives with enterprise strategy
- Translate business requirements into technical designs
- Provide technical expertise to business stakeholders
- Communicate findings through compelling visual narratives
- Lead the design and deployment of execution solutions
- Ensure solution scalability and maintainability
- Develop and optimize data pipelines and models
- Leverage AI and machine learning for automation
- Mentor and guide engineers and analysts
- Foster shared ownership and strong delivery capabilities
Work Experience
approx. 4 - 6 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
CelonisMulti-Event Log modelingObject-Centric Process Mining (OCPM)DatabricksCloud platformsPredictive analyticsNatural language processing (NLP)Machine learning
Benefits
Competitive Pay
- •Attractive base pay
Bonuses & Incentives
- •Annual bonus
- •Individual performance award
Other Benefits
- •Flexible and appreciative benefits
Flexible Working
- •Hybrid work models
- •Part-time arrangements
- •Flexible work hours
Childcare
- •Company daycare centers
- •Support finding childcare
- •Summer camps for children
Family Support
- •Time off for care
Learning & Development
- •Learning and development opportunities
- •Bayer Learning Academy training
Mentorship & Coaching
- •Development dialogues
- •Coaching and mentoring programs
Healthcare & Fitness
- •Free health checks
Informal Culture
- •Inclusive work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bayer and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Bayer
Industry
Pharmaceuticals
Description
Das Unternehmen ist entschlossen, die größten Herausforderungen unseres Planeten zu überwinden und zu einer Welt beizutragen, in der genug Nahrung und ausreichende medizinische Versorgung für alle Menschen erreichbar sind.
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