International AI Product Owner
Würth Deutschland
Job Overview
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Job Description
International AI Product Owner
Big Data, Artificial Intelligence, Predictive Analytics, and Machine Learning are creating new opportunities across the Würth Group, and we are actively shaping this future. Our International Big Data Team designs, builds, and scales AI products that support more than 50 Würth Line Craft companies worldwide. As an International AI Product Owner, you will play a pivotal role in transforming business challenges into scalable AI solutions, bringing them from initial concept to global rollout. If you are passionate about turning data into measurable business value and eager to shape the future of sales with AI, we’d love to welcome you to our team.
Your Responsibilities – Shaping the Future Together
- Translate complex business challenges into scalable data and AI products, guiding them from ideation to implementation. Use cases span pricing intelligence, sales rep activity planning, and shop assortment optimization.
- Collaborate closely with business experts, data scientists, and engineers, applying agile methodologies to build high-quality solutions.
- Lead international pilots and rollouts, ensuring products generate measurable results such as top-line growth, stronger customer engagement and retention, and/or a higher share of wallet per customer.
- Work with external partners and third parties, including organizations like IPAI or UnternehmerTUM, to extend Würth’s AI capabilities and unlock new value.
- Contribute your expertise to a culture of curiosity, continuous learning, integrity, and mutual responsibility.
Your Profile – Growing Together
- Master's degree in a quantitative field (e.g., Computer Science, Business Informatics, Statistics, Engineering, Economics, or related field).
- At least two to three years of professional experience as an AI product owner.
- Solid understanding of data preparation, modeling, analysis, and visualization techniques.
- Hands-on experience with big data technologies, SQL, Python, and visualization tools such as PowerBI.
- Foundational understanding of MLOps, DevOps, or software engineering principles is a plus.
- Excellent communication skills to explain complex ideas clearly to both technical and non-technical audiences.
- Ability to operate across multiple cross-functional teams and an array of stakeholders.
- Strong analytical thinking and high affinity for data.
- Proactive, curious mindset with a passion for innovation.
- Fluency in English. German language skills are a bonus.
Your Benefits in a Culture of Appreciation
- Team: Work with a highly diverse, friendly, and motivated team of top experts who are open to new impulses from outside.
- Type of contract: Permanent full-time position.
- Work location: At the company headquarters and with the option of having up to 40% of the working time in the mobile office (home office).
- Holidays: 30 holidays, plus special leave for certain private occasions.
- Training: Regular and varied training opportunities through our Akademie Würth (seminars, certificate courses, degree programs), individual training support, internal development programs, and a wide range of career opportunities.
- Social engagement & sustainability: The extraordinary social and cultural engagement through versatile initiatives of the Würth Foundation also shape our corporate culture. In the central strategic field of sustainability, we are on the transformation path towards our next goals: Climate neutrality and circular economy.
- Other benefits: Subsidized food at company restaurants and cafeterias, employee discounts in the Würth Shop and with external partners, a wide range of sports and fitness offers (courses, company sports groups, subsidized membership of the EGYM company fitness network, e-bike leasing), sabbaticals, and much more.
Key skills/competency
- AI Product Management
- Big Data Technologies
- Agile Methodologies
- Stakeholder Collaboration
- Data Science
- Predictive Analytics
- SQL
- Python
- PowerBI
- MLOps
How to Get Hired at Würth Deutschland
- Research Würth Deutschland's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for AI Product Owner roles: Highlight experience in data product management, agile development, and stakeholder collaboration.
- Showcase AI/Big Data project experience: Emphasize quantifiable impact and successful international rollouts.
- Prepare for technical and behavioral questions: Focus on problem-solving, data literacy, and cross-functional team leadership.
- Demonstrate cultural fit: Articulate your passion for innovation, continuous learning, and a collaborative team environment.
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