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Data architect • langenthal
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Manager - Data Science & AI
Omya (Schweiz) AGEgerkingen, CH- Gesponsert
Automatiker / in
FlexsisOensingen, Solothurn- Gesponsert
- Neu!
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Manager - Data Science & AI
Omya (Schweiz) AGEgerkingen, CHJob Summary
Are you excited about shaping the foundation for AI-driven innovation? Join our Data Science & AI R&D team, where you will lead the creation of structured data ecosystems and drive impactful Data Science and AI projects. In this role, you will bridge technical capabilities with business needs, ensuring that AI Enablement delivers high-value solutions through agile project and product management. You will help design strategic data-generating systems and transform AI goals into actionable roadmaps that accelerate digital transformation across our global innovation centers. If you thrive at the intersection of data, technology, and strategy, this is your opportunity to make a lasting impact.
Accountabilities
Product Strategy & Execution
Translate business needs into data and product requirements, prioritizing features based on impact and feasibility.
Execute the roadmap for data generation, data science, and AI projects aligned with the digital R&D strategy.
Stakeholder Engagement
Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives.
Facilitate ideation and feedback loops for continuous improvement of AI products.
Coordinate with the AI Applications team to deliver innovative solutions.
Data & Technology Enablement
Support standardization of data and technology across three innovation centers.
Ensure robust data infrastructure in collaboration with data scientists and IT teams.
Integrate predictive modeling, knowledge management, and agentic AI tools into R&D workflows.
Performance & Communication
Monitor product performance using KPIs related to efficiency, adoption, and business value.
Prepare reports and presentations for leadership to communicate progress and strategic alignment.
Provide regular updates to leadership on product performance, roadmap progress, and key metrics.
Requirements
Education
Bachelor's degree in Innovation Management, Data Science, Computer Science, or related field. MBA or equivalent business background is a plus.
Experience
Minimum 5 years of relevant experience in data-driven innovation, better if within R&D or technology environments.
Knowledge and Skills
Strong communication and stakeholder management skills.
Proficiency Project Management using agile tools and methodologies.
Understanding of data architecture, AI workflows, and product lifecycle management.
Knowledge of data management practices; experience with LIMS systems is a bonus.
Team player with ability to support peers and senior management effectively.
Professional command of both oral and written English.
Local language is a plus
Contact
Simone Michelotti, HR Business Partner
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