Digital Value Chain Manager
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Lille Skensved
We are looking for a dedicated professional to develop a foundational enterprise AI model tailored for Architecture, Engineering, and Construction (AEC) professionals, alongside an advanced AI-powered Software-as-a-Service (SaaS) platform.
Who We Are
Every day, we imagine, design, and build our future where everyone can thrive. 's mission is to bridge the worlds of bits and atoms, connecting digital and physical realms by transforming Unmanned Aerial Vehicles and humanoid robots into impactful applications that deliver transformative, human-centered AI experiences throughout the Architecture, Engineering, and Construction (AEC) industry.
We nurture creativity through imaginative exploration, iterative experimentation, playful collaboration, and critical analysis. Through this approach, we create opportunities for innovative exploration, envisioning enhanced lives, stronger communities, and healthier environments—ultimately building a better, more equitable future for all.
What We’re Looking For
The AEC industry stands on the brink of significant transformation, driven by the integration of Artificial Intelligence (AI). AI is not just an add-on, it’s a crucial catalyst reshaping our paradigms in design, construction, operation, and maintenance. This shift signals a departure from traditional methods, opening new possibilities for efficiency, precision, and innovation.
To lead this transformation, we are developing a foundational enterprise AI model tailored specifically for the AEC professionals, alongside an state-of-the-art, AI-powered SaaS platform.
Role Overview
As a Digital Value Chain Manager, you will be responsible for designing and developing a comprehensive data warehouse architecture that will transform raw data sources into refined, high-quality datasets. These data warehouses will be engineered with advanced analytics and data science features, serving as the foundation for training an enterprise AI model.
AI-powered, full-stack development isn’t just a trend, it’s a transformative force reshaping the digital landscape in Architecture, Engineering, and Construction. In this role, you will blend creativity with analytical insight, learning and applying cutting-edge principles to enhance the digital value chain. The platform empowers engineers and technical professionals to drive sustainable productivity improvements, accelerate decision-making, and strengthen their companies’ competitive edge.
Key Responsibilities
Data Warehouse Development & Maintenance
Data warehouse Digital Production & Planning
Project Management and Final Deliverables
Questions
For further information regarding the position, please contact mail@.ai, or
Tel +.
Application
Application deadline: 24 November, 23.59 CET.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
Kilde:
Who We Are
Every day, we imagine, design, and build our future where everyone can thrive. 's mission is to bridge the worlds of bits and atoms, connecting digital and physical realms by transforming Unmanned Aerial Vehicles and humanoid robots into impactful applications that deliver transformative, human-centered AI experiences throughout the Architecture, Engineering, and Construction (AEC) industry.
We nurture creativity through imaginative exploration, iterative experimentation, playful collaboration, and critical analysis. Through this approach, we create opportunities for innovative exploration, envisioning enhanced lives, stronger communities, and healthier environments—ultimately building a better, more equitable future for all.
What We’re Looking For
The AEC industry stands on the brink of significant transformation, driven by the integration of Artificial Intelligence (AI). AI is not just an add-on, it’s a crucial catalyst reshaping our paradigms in design, construction, operation, and maintenance. This shift signals a departure from traditional methods, opening new possibilities for efficiency, precision, and innovation.
To lead this transformation, we are developing a foundational enterprise AI model tailored specifically for the AEC professionals, alongside an state-of-the-art, AI-powered SaaS platform.
Role Overview
As a Digital Value Chain Manager, you will be responsible for designing and developing a comprehensive data warehouse architecture that will transform raw data sources into refined, high-quality datasets. These data warehouses will be engineered with advanced analytics and data science features, serving as the foundation for training an enterprise AI model.
AI-powered, full-stack development isn’t just a trend, it’s a transformative force reshaping the digital landscape in Architecture, Engineering, and Construction. In this role, you will blend creativity with analytical insight, learning and applying cutting-edge principles to enhance the digital value chain. The platform empowers engineers and technical professionals to drive sustainable productivity improvements, accelerate decision-making, and strengthen their companies’ competitive edge.
Key Responsibilities
Data Warehouse Development & Maintenance
-
- Design, develop, and implement digital value chain strategies, tools, and AI advancements to enhance data architecture.
- Build and maintain data extraction pipelines, sustaining data layers and logic on AWS and Databricks.
- Establish metrics to ensure data integrity throughout the data warehouse supply chain.
- Manage the end-to-end digital supply chain for the data warehouse, from data uploading and assignment to annotation review and approval, ensuring clear visibility into labeling performance and dataset development.
Data warehouse Digital Production & Planning
-
- Analyze reality capture data from construction and infrastructure sites to accurately forecast production requirements.
- Oversee financial planning, aligning digital data warehouse activities with business profitability goals.
- Collaborate with cross-functional teams to synchronize data processing with both short-term and long-term development objectives.
- Participate in project scoping and reporting meetings, taking ownership of the data warehouse and navigating a complex stakeholder landscape independently.
Project Management and Final Deliverables
-
- Regularly assess data processing workflows to identify and implement efficiency and quality improvements.
- Apply quality management principles to elevate operational standards and ensure compliance.
- Lead initiatives to optimize data processing, integrating innovative solutions to streamline workflows.
- Manage projects focused on digital value chain improvements, ensuring timely and successful delivery of objectives.
- Support teams in adopting new systems and processes, providing training, resources, and guidance as needed.
- Prepare and present project reports and analytics, highlighting contributions to ’s strategic goals.
Questions
For further information regarding the position, please contact mail@.ai, or
Tel +.
Application
- Your application should include:
Letter of application addressing the requirements (max. one page) - Curriculum Vitae
- A certified/signed copy of certificate(s) of education
Application deadline: 24 November, 23.59 CET.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
Kilde:
Information og data
Denne ledige stilling har jobtypen "Softwareudvikler", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Lille Skensved.
Jobbet er oprettet på vores service den 6.11.2024, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Softwareudvikler
- Lille Skensved
- Søndag den 24. november 2024
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Statistik over udbudte jobs som softwareudviklere i Lille Skensved
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Statistik over udbudte softwareudviklere i Lille Skensved over tid
| Dato | Alle jobs som softwareudviklere |
|---|---|
| 25. november 2024 | 1 |
| 24. november 2024 | 1 |
| 23. november 2024 | 1 |
| 22. november 2024 | 1 |