Global AI & Data Lead Operations (m/w/d)

Markdorf, J. Wagner GmbH, DE – Permanent – Full-time / Part-time (Hybrid)

About the role

As a globally leading manufacturer of innovative coating technology, WAGNER relies on data-driven decisions and AI. You will identify, evaluate, and implement analytics, automation, and AI use cases across operational end-to-end processes, prioritized by quantified business impact (cost savings, lead time, quality costs), and ensure benefit realization.

Responsibilities

• Analyze operational data from SAP and other enterprise systems to derive actionable recommendations for process, quality, and productivity optimization.
• Develop decision- and action-oriented analytics solutions (descriptive to prescriptive) and AI-supported reporting and decision-making tools within the SAP environment (e.g., SAP Analytics Cloud).
• Automate operational process steps (including agent-based workflows, human-in-the-loop approvals) and demonstrate their value contribution.
• Reduce manual reporting efforts through self-service solutions.
• Ensure high data quality and further develop data standards, master data, KPI systems, and reporting processes.
• Drive AI-supported quality analytics to reduce quality costs (CoPQ) in collaboration with Global Quality.
• Collaborate closely with Operations, IT, and business units to train them in SAP analytics and AI applications.
• Lead international digitalization and transformation projects with a focus on SAP.

Requirements

• Completed degree in Business Informatics, Computer Science, Data Analytics, Industrial Engineering, or a comparable qualification.
• Several years of experience in Data Analytics, Data Science, or AI implementation projects, ideally in an industrial environment.
• Experience in building KPI systems, dashboards, and reports.
• Strong knowledge of the SAP system landscape, ideally with S/4HANA and SAP Analytics Cloud (SAC); experience with SAP Datasphere and Process Mining is a plus.
• Familiarity with modern analytics, AI, and automation technologies and their integration into SAP processes.
• Basic understanding of ML/LLM applications and agent-based automation; willingness to deepen expertise in ML/LLM applications and Python/low-code automation.
• Experience in international transformation or digitalization projects.
• Fluent in German and English, with strong communication skills across all organizational levels.
• Ability to navigate and operate effectively in a fast-paced environment.

Benefits

• Individual onboarding
• Diverse continuing education opportunities
• Bike leasing and EGYM Wellpass
• Corporate benefits
• Company events
• In-house restaurant Josef's
• Paid leave for special occasions (e.g., wedding, birth)
• Flexible working hours with 1-3 days of home office per week
• 35 days of vacation per year (full-time = 40h)

You can expect an open corporate culture with flat hierarchies, mutual appreciation, and a familial working environment. We value diversity!