Artificial Intelligence Product Owner (AI) / Scientist
Confidential
Posted: April 3, 2026
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Quick Summary
We are looking for an Artif to shape how our company makes AI decisions worldwide and collaborate with a multicultural team to make real impact.
Required Skills
Job Description
We are missing a special ingredient. Could it be you?
This is your opportunity to shape how a €3B+ procurement organization makes AI driven decisions worldwide. You will be working in an energetic and unusual entrepreneurial atmosphere where decisions are made fast if you know how to collaborate and convince. If you also like working in a multicultural environment and partially shape your role, this could be your dream job. Welcome to Intersnack, where you can make real impact at one of Germany’s most beloved snack producers, with leading brands across Europe.
Your big challenge as our Artificial Intelligence Product Owner (AI) / Scientist
You will drive the creation of a scalable, AI-powered analytical foundation that enables fact-based, transparent and strategically aligned decisions across all procurement categories. You will help teams systematically understand, challenge and optimize cost structures, contract quality and value drivers by embedding robust, standardized methodologies into daily practice.
You will also shape the methodological backbone behind AI solutions in close collaboration with key stakeholders enabling the shift from experience-based negotiations practices to measurable, model-driven value creation.
In this pivotal role, you act as the bridge between the group AI core team, procurement category management and technical development teams, ensuring AI capabilities are adopted at scale, strengthening negotiation preparation, improving budgeting accuracy, enhancing contract robustness and unlocking sustainable value optimization across the organization.
Your key responsibilities as our Artificial Intelligence Product Owner (AI) / Scientist
• Design and continuously improve AI-driven cost and optimization models used across procurement.
• Co-develop cost structure methodologies, assumptions and value drivers across categories.
• Build transparent links between cost data, external indices, pricing baselines and contracts.
• Translate complex cost and contract dynamics into clear, explainable mathematical models.
• Validate, test and calibrate models to ensure accuracy and business relevance.
• Define the analytical backbone and requirements for AI tools together with technical teams.
• Lead prototyping and testing to ensure measurable impact on negotiations and total cost.
• Act as the analytical partner for procurement, turning model insights into practical decision support.
• Enable teams to understand and responsibly use AI-generated insights.
• Drive adoption of AI-supported decision making through standards and workshops.