DescriptionActioNet has an opportunity for a Chief Enterprise Architect (Business Intelligence) requiring a Top Secret clearance in the Washington, D.C., metro area. Hybrid work is available. You will play a multifaceted role and be the main Point of Contact (POC) to oversee the development and implementation of the organization's data strategy. This role involves centralizing data into a unified warehouse, transforming complex data into actionable insights, and ensuring data security and accessibility. The architect collaborates with various stakeholders to maintain and optimize business intelligence systems, supporting data-driven decision-making and innovation across the enterprise. The right candidate will work well with a team, exhibit excellent customer service skills, be self-motivated, and seek ways to improve the environment.
Duties and Responsibilities:
- Determine platforms, processes, and procedures for central data warehouse based on business requirements and technical specifications.
- Integrate capability and information to address data security/authentication and web accessibility requirements.
- Centralize data from all data stores into a data warehouse and connect the warehouse into enterprise BI tools.
- Transform complicated data into useful information using BI software to collect, store, and analyze business intelligence data with visualizations.
- Design and develop solutions for dashboards, create automated dashboards, and integrate multiple views into dashboards using predictive analytics and real-time reporting.
- Support and maintain the entire business intelligence backend, including data warehouses and data lakes, to produce machine learning (ML) and artificial intelligence (AI) insights.
- Lead Extract, Load, Transform (ETL) processes across a variety of data sources to design and develop solutions for aggregated facts using metadata.
- Create processes to manage high volumes of data and optimize data modeling and database solutions to sustain data governance and data democracy.
- Articulate complicated BI concepts and collaborate with program stakeholders including IT and business program and project managers, data architects, scientists, analysts, business intelligence teams, cybersecurity analysts, and data quality management teams.
- Diagnose and debug operational issues for data warehouse and BI support components.
- Support software lifecycle management including automated testing and documentation, code versioning, and change and configuration management.
Basic Qualifications (required):
- Bachelor's degree from an accredited university or college in Information Technology or a similar degree (computer science, engineering, math, or related field).
- At least ten (10) years of experience as a data architect, BI developer, or BI manager with extensive use of data components and information management systems (transactional data).
- Experience with centralizing data from all data stores into a data warehouse and connecting the warehouse into enterprise BI tools.
- Experience transforming complicated data into useful information using BI software to collect, store, and analyze business intelligence data with visualizations.
- Experience designing and developing solutions for dashboards, creating automated dashboards, and integrating multiple views into dashboards using predictive analytics and real-time reporting.
- Experience supporting and maintaining the entire business intelligence backend, including data warehouses and data lakes, to produce ML and AI insights.
- Experience leading ETL processes across a variety of data sources to design and develop solutions for aggregated facts using metadata.
- Oral and written communication skills to articulate complicated BI concepts and collaborate with program stakeholders.
- Experience diagnosing and debugging operational issues for data warehouse and BI support components.
- Team-based experience in software lifecycle management including supporting automated testing and documentation, code versioning, and change and configuration management.
Preferred:
- Advanced degree in Information Technology, Computer Science, Engineering, or a related field.
- Certifications in BI tools and technologies.
- Experience with data governance and data democracy initiatives.
- Experience with real-time reporting and predictive analytics.
- Experience with machine learning (ML) and artificial intelligence (AI) applications in business intelligence.
