Job Description

Position: AI Data Architect

Location: Summerville, SC

Length: FTE

Rate: $145,000 - $160,000

(Exact compensation may vary based on several factors, including skills, experience, and education)

Required Skills

• Bachelor’s degree in Data Science, Analytics, IT or Statistics preferred, Computer Science, or any related field and three to five years of related professional experience
• Previous experience as a Data Warehouse Architect or similar role, with experience designing and building data warehouses from the ground up.
• Expertise in ETL processes, data integration, API integration, and cloud-based data platforms
• Proficiency in SQL for querying and manipulating data.
• Proficiency in data visualization
• Proficiency in Power BI, Tableau, or similar visualization tool.
• Demonstrated experience in AI leadership, strategy, or execution
• Proven track record of success with artificial intelligence AI initiatives, including machine learning and GenAI from use case initiation to implementation in a corporate setting
• Expertise in AI tools and platforms; ability to filter and seek out best fit vendors and tools for AI applications.

Responsibilities

• Lead the end-to-end design and development of a data warehouse with external vendor support, including data modeling, ETL pipelines, and integrations from multiple data sources (APIs, databases, etc.)
• Develop innovative ideas and propose a forward-looking AI technology, data analytics and data strategy
• Collaborate with multiple internal stakeholders to understand business challenges & identify opportunities for AI/ML-driven solutions
• Identify AI capabilities embedded within third-party technologies currently used that can be leveraged for business value
• Own and maintain a comprehensive catalog of solution sets for various AI use cases, ensuring data sets are clearly documented and effectively utilized by the team to drive innovation consistently and efficiently
• Lead a small team including direct reports in conjunction with broader collaboration across the organization to define requirements, design, test, tune, and deploy solutions that turns data into actionable insights and/or automation solutions

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