AI&Data Architecture Associate Director
- Industry Type
- Architecture, Interior Designing
- Functional Area
- Architecture, Interior Design
- Nationality
- Any
- Keywords
- Artificial Intelligence AI Architecture Data Architecture Leadership and Management Strategic Planning Project Management
Job Description
Hackajob is looking for an AI & Data Architecture Associate Director to join their team in London. This role is within the Architecture and Interior Design industry, focusing on AI and data practices.
- Position
- AI&Data Architecture Associate Director
- Company
- Hackajob
- Location
- London, United Kingdom
- Industry
- Architecture, Interior Designing
- Experience
- 1 to 20 years
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About the role: AI&Data Architecture Associate Director
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
An AI & Data Architecture Associate Director leads the design and implementation of artificial intelligence and data systems within architectural and interior design projects. They typically work in design firms, technology consultancies, or companies integrating AI solutions to enhance building and interior environments.
What this role usually involves
- Develop and oversee AI and data architecture strategies for design projects.
- Collaborate with architects, designers, and IT teams to integrate AI technologies.
- Manage data collection, processing, and analysis to support design decisions.
- Ensure the scalability and security of AI and data systems.
- Lead and mentor a team of AI and data professionals.
- Stay updated with emerging AI trends relevant to architecture and interior design.
Skills employers usually look for
- Strong knowledge of AI technologies and data architecture.
- Ability to translate design requirements into technical AI solutions.
- Leadership and team management skills.
- Good communication and collaboration abilities.
- Problem-solving and analytical thinking.
- Familiarity with software used in architecture and data management.
Usual qualifications
- A degree in computer science, data science, architecture, or a related field.
- Experience or training in AI and data systems.
- Knowledge of architecture or interior design principles is beneficial.
- Professional certifications in AI or data architecture may be advantageous.
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