Digital Business Value Engineer

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2022, Continental generated sales of €39.4 billion and currently employs around 200,000 people in 57 countries and markets.

• Lead the identification and implementation of digital use cases, ensuring alignment with stakeholder requirements and scalability potential.
• Define and harmonize analytical goals for manufacturing processes, develop data transformation workflows, and execute analytics to support decision-making.
• Automate operations business workflows and document outcomes, keeping abreast of global trends in manufacturing robotic process automation (RPA).
• Manage agile project management activities, set strategic targets, budgeting, forecasting, and reporting for digital and analytics projects.
• Facilitate continuous learning and knowledge sharing within the company through training and coaching.
• Contribute to machine and process standardization by integrating analytics insights and feedback for manufacturing engineering standards development.
• Drive process maturity by collaborating with Electrical Engineering and machine vendors to develop robust process standards and diagnostics.
• Uphold and advocate for the company’s values and leadership philosophy, fostering an environment of innovation, trust, and learning.
• Ensure a commitment to quality and safety, striving for "Zero Incidents" and "Zero Accidents" and promoting a culture of process-orientation.
• Champion sustainability efforts, encouraging innovative solutions to meet corporate sustainability targets and respecting established standards.

• Advanced knowledge in manufacturing-related technologies, systems, standards, and processes.
• Proficiency with machine signal protocols and transactional/streaming data.
• Basic understanding of hardware systems, including PLC and embedded systems.
• Advanced analytical and statistical knowledge, with a basic grasp of data science methods and techniques.
• Familiarity with standard BI and Analytics tools (e.g., KNIME, PowerBI, Grafana) at a basic level.
• Basic fluency in English and intercultural sensitivity, with good communication techniques, including presentation and change management.
• Understanding of agile project management approaches and basic knowledge of business process development.
• Advanced awareness of future technologies, Industry 4.0 applications, and smart factory-related technologies and system understanding.
• Strong persuasive skills and the ability to empathize, paired with a basic understanding of general management and market/customer trends.

In Continental we are committed to an inclusive and non-discriminatory culture, we will never require a HIV or pregnancy test as a part of our selection process.
 

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