Chief Enterprise Architect (Business Intelligence)

About This Role

The Chief Enterprise Architect (Business Intelligence) will design, implement, and maintain enterprise-level data architecture, BI tools, and reporting systems to provide actionable insights for data-driven decision-making. This role focuses on data warehousing, ETL processes, and integrating advanced analytics including AI and ML.

Responsibilities

• Design and implement data platforms, processes, and procedures for a centralized data warehouse based on business requirements and technical specifications.
• Integrate capabilities and information to address data security, authentication, and web accessibility requirements.
• Centralize data from multiple sources into a data warehouse and connect it to enterprise BI tools.
• Apply technology to convert complex datasets into meaningful insights using BI software and develop automated dashboards with multiple interactive views.
• Utilize predictive analytics and real-time reporting for accurate, data-driven intelligence.
• Support and maintain the BI backend, including data warehouses and data lakes.
• Leverage machine learning (ML) and artificial intelligence (AI) to enhance reporting and analysis outcomes.
• Lead Extract, Load, Transform (ETL) processes across diverse data sources.
• Develop solutions for aggregated facts using metadata and create processes to manage large data volumes efficiently.
• Optimize data modeling and database solutions to support data governance and data democratization.
• Effectively communicate complex BI concepts to stakeholders, including IT and business program managers, data architects, scientists, analysts, BI teams, cybersecurity professionals, and data quality management teams.
• Work closely with cross-functional teams to ensure seamless data integration and reporting.
• Diagnose and debug operational issues related to data warehouses and BI support components.
• Ensure best practices in software lifecycle management, including automated testing, documentation, version control, and change/configuration management.

Requirements

• Bachelor's degree in Information Technology, Computer Science, Engineering, Mathematics, or a related field
• Minimum of ten (10) years of experience in data architecture, BI development, or BI management
• Strong expertise in data warehousing, BI tools, and enterprise reporting systems
• Proficiency in ETL processes, metadata management, and data governance best practices
• Experience implementing predictive analytics, machine learning (ML), and AI-driven reporting
• Top Secret or Q Clearance

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Engineering, Mathematics, or a related field from an accredited university or college.
• At least ten (10) years of experience designing and implementing data warehouse solutions, BI tools, and enterprise reporting systems.

Skills

* Required skills

Benefits