Job
- Level
- Lead
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin, Linz am Rhein
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop the Data & AI strategy, implement innovative data and AI use cases, and lead the Data & AI team to achieve measurable business outcomes.
Job Technologies
Your role in the team
- Development and further development of the Data & AI strategy as well as deriving relevant action fields from technology trends such as Generative AI, Agentic AI, and Predictive Analytics.
- Identification and prioritization of innovative Data and AI use cases with a focus on sustainable value creation and measurable business impact.
- Management and further development of the Data & AI portfolio, including roadmaps, priorities, and value potentials.
- Assessment and conversion of use cases into MVPs, pilots, and production-ready solutions, considering business value, data availability, feasibility, governance, and scalability.
- Further development of data strategy, data architecture, data quality, and data products as a foundation for analytics and AI initiatives.
- Close collaboration with business units, plants, central functions, the AI Ambassadors community, and external partners to successfully implement data- and AI-driven solutions.
- Advising and enabling management, departments, and project teams, as well as promoting a data- and AI-driven corporate culture.
- Technical leadership and development of the Data & AI team, including the establishment of standards, best practices, and reusable solution components.
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Our expectations of you
Qualifications
- You have successfully deployed Data and AI solutions into production, resulting in measurable improvements for business processes, data-driven decision-making, or operational value creation.
- You think entrepreneurially, can critically assess technological trends, and pragmatically translate innovative approaches into concrete use cases and business processes.
- You communicate confidently with management, specialist departments, technical teams, and external partners, and you are able to convey complex contexts in an understandable and audience-appropriate manner.
- An independent, structured way of working, strong teamwork skills, and very good German language skills in spoken and written form complete your profile.
Experience
- You have extensive professional experience in formative or leadership roles in the fields of Data, Analytics, Artificial Intelligence, Digital Transformation, or comparable technology sectors.
- You possess solid knowledge of modern data platforms, data architectures, analytics solutions, as well as in the fields of Generative AI, Machine Learning, and MLOps. Additionally, you have extensive practical experience with Microsoft Azure, Microsoft Fabric, Power BI, and Copilot.
- You have experience in technical leadership and the development of interdisciplinary teams, and you know how to impart knowledge, establish standards, and inspire people towards common goals.
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What we offer
- Secure job for your long-term planning.
- Attractive compensation as recognition for your commitment.
- 30 days of vacation for your recovery.
- Mobile working and a flexible working hours model increase your personal flexibility.
- Exciting topics and projects with room for your own ideas in a team-oriented work environment.
- External training programs and our internal academy support your individual development.
- Additional benefits such as employee discounts, accident insurance, employee assistance programs, and a corporate suggestion scheme for added security and genuine support.
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Topics You Will Work On
Job Locations
About Your Employer
Basalt AG
Basalt-Actien-Gesellschaft is a renowned construction materials company based in Linz am Rhein, operating quarries and asphalt mixing plants while maintaining various facilities along the value chain. The company is part of the Werhahn Group.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Construction, Real Estate, Building Services