
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
Artificial Intelligence • Enterprise
Xenon Seven is a company that specializes in providing AI and data solutions across various industries, including healthcare, financial services, consumer retail, high-tech, automotive, and energy utilities. With expertise in generative AI, decision support systems, predictive analytics, computer vision, robotics, and mechatronics, they support businesses in AI preparedness, exploration, transformation, and scalability. Xenon Seven works with a network of AI technologists and experts from over 20 institutions, focusing on solving complex problems and ensuring secure and seamless AI transitions for businesses. Their services aim to optimize AI infrastructure and performance while maintaining strict security standards.
🔥 11 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
Artificial Intelligence • Enterprise
Xenon Seven is a company that specializes in providing AI and data solutions across various industries, including healthcare, financial services, consumer retail, high-tech, automotive, and energy utilities. With expertise in generative AI, decision support systems, predictive analytics, computer vision, robotics, and mechatronics, they support businesses in AI preparedness, exploration, transformation, and scalability. Xenon Seven works with a network of AI technologists and experts from over 20 institutions, focusing on solving complex problems and ensuring secure and seamless AI transitions for businesses. Their services aim to optimize AI infrastructure and performance while maintaining strict security standards.
• Configure and ingest metadata from respective systems into the Collibra data catalog. • Migrate technical metadata enrichment, lineage, and mappings from one system to another within Collibra. • Build reusable test cases to validate the migration of metadata, lineage, enrichment, and mappings for various use cases. • Validate the migration results, including cataloging, lineage, and enrichment, and share the outcomes with the business function team. • Propose automation solutions to improve migration efficiency. • Support the business function team in validating migrated metadata and ensuring accuracy and integrity.
• Bachelor’s degree in Computer Science, Engineering, or Information Technology. • Solid experience in metadata management, data cataloging, and data governance. • Proficiency in metadata modeling and metadata management tools such as Collibra • Strong knowledge of data management principles and best practices. • Demonstrated strong interpersonal skills, accountability, written and verbal communication skills • Proven ability to communicate across various stakeholders, including internal and external • Good negotiation skills, experience with AGILE and DevOps methodology, capability to think strategically
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