Associate Enterprise Architect Data Analytics & AI

Overview

Remote
Depends on Experience
Contract - W2
Contract - 24 Month(s)
10% Travel

Skills

Enterprise Architecture
Data Architecture
Data Governance
Microsoft Power BI
Artificial Intelligence
TensorFlow
Tableau
Machine Learning (ML)

Job Details

Job Title: Associate Enterprise Architect Data Analytics & AI Location: Remote (Travel once or twice to meetings a year) Duration: 2 + years Contract
Position Summary
The Associate Enterprise Architect Data Analytics & AI will support the Enterprise Architecture (EA) team in developing, documenting, and optimizing data and analytics architecture across the organization. This role is ideal for early-career professionals with foundational knowledge in data architecture, analytics platforms, and artificial intelligence (AI) concepts. The position plays a key role in helping the organization realize value from data through improved visibility, governance, and technology planning.
Key Responsibilities
Data & Analytics Architecture Support
Assist in mapping business capabilities to data sources, analytics platforms, and data pipelines.
Maintain and update architecture artifacts related to data lakes, warehouses, and analytics tools.
Support initiatives around data governance, data lineage, and metadata management.
AI & Automation Enablement
Contribute to the documentation of AI/ML model architecture, deployment strategies, and use cases.
Help identify areas for AI application in business processes through collaboration with business and IT teams.
Support architecture input for intelligent automation platforms, chatbots, and decision engines.
Repository & Tool Support
Help maintain enterprise architecture models in tools such as LeanIX, ensuring accuracy and traceability of data and analytics components.
Generate reports and visualizations to support technology planning and business engagement.
Collaboration & Governance
Participate in architectural review sessions and working groups related to data analytics and AI.
Work with solution architects, data scientists, and platform engineers to align data initiatives with architectural standards.
Assist in developing and socializing reference architectures for data and AI.
Required Qualifications
Bachelor s degree in Information Systems, Computer Science, Data Science, or related discipline.
0 3 years of experience in IT, data analytics, or enterprise architecture support.
Basic understanding of data platforms (e.g., SQL, data lakes, cloud storage).
Familiarity with AI/ML fundamentals and common tools (e.g., Python, scikit-learn, Power BI).
Strong documentation and analytical skills.
Preferred Qualifications
Exposure to data architecture concepts such as ETL, data modeling, or metadata management.
Academic or internship experience in enterprise analytics or AI initiatives.
Knowledge of architecture frameworks such as TOGAF or Zachman.
Interest in utilities, energy, or regulated industries.
Tools & Technologies
Data Platforms: Snowflake, Data Lakehouse, SQL-based systems
AI/ML Tools: Python, TensorFlow, MLFlow (preferred)
Visualization Tools: Power BI, Tableau
Architecture Tools: LeanIX (preferred), Lucidchart, Visio
Cloud Platforms: Azure, AWS (basic understanding).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.