AI Data Architect, Principal

Davita Inc.; Los Angeles (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

A leading company in healthcare is looking for a Principal AI/Data Architect to join their Enterprise Architecture team. The role focuses on creating and maintaining data and analytics capabilities, as well as developing strategic technology roadmaps. With extensive experience required, this position offers the opportunity to drive significant strategic investments.

Qualifications

• 10+ years in business and IT.
• 3+ years in an architecture role.
• Experience in cloud environments and data architecture.

Responsibilities

• Drive creation of enterprise data and analytics capabilities.
• Maintain data reference architectures.
• Guide strategic investments and technology roadmaps.

Skills

Interpersonal skills

Technical leadership

Collaboration

SQL development

Data architecture

Integration architecture

Tools

Azure

AWS

Google Cloud

Snowflake

DataBricks

Job description

Your Role

The Enterprise Architecture team translates business strategic goals into future-state capability reference architectures and execution roadmaps. The Principal AI/Data Architect will report to the Director of Enterprise Architecture. In this role you will drive the creation and maintenance of enterprise data and analytics capabilities, data reference architectures, integrated data and analytics technology roadmaps that will guide our strategic investments and enterprise strategy.

Your Knowledge and Experience

• Requires at least 10 years relevant business and IT experience


• Requires at least 3 years of experience in an architecture role


• Requires interpersonal and technical leadership skills that demonstrate collaboration, facilitation, negotiation, conflict management and influence


• Requires strong proficiency in Data, Integration and Technology Architecture; with multi-tenancy architecture and M&A expertise preferred


• Requires strong proficiency in data architecture; with data modelling, and SQL development expertise preferred


• Demonstrated ability to communicate AI recommendations in a business context to a general non-technical audience


• Hands-on experience with cloud environments such as Azure, AWS, and Google Cloud, cloud data platforms such as Snowflake, and nice to have experience in DataBricks


• Knowledge of evaluating solutions for fairness, bias, accuracy, drift, validity, fit, robustness, and explainability