AI Data Analytics Architect

Idexcel; Washington (District of Columbia); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading data solutions company in Washington is seeking a skilled data professional to design, develop, and maintain data products. You will work with various teams to communicate data insights and improve analytics literacy across the organization. The ideal candidate has strong experience in data modeling and visualization tools, with excellent communication skills. This role is essential for fostering a data-driven culture within the organization.

Qualifications

• Experience in dimensional data modeling, software analysis, and testing.
• Practical experience in data science, machine learning, or AI concepts.
• Strong communication and presentation skills.

Responsibilities

• Design, develop, and maintain data & AI products.
• Work with cross-functional teams on data insights.
• Develop workshops and training to improve data literacy.

Skills

Dimensional data modeling

Data science

Machine learning

Data visualization

Strong communication skills

Data governance

SQL

Python

R

Tools

Tableau

Power BI

Job description

Responsibilities

• Design, develop, and maintain data, analytics & AI products to make insights accessible to the entire organization.
• Work with cross‑functional teams and clearly communicate complex data insights to non‑technical audiences.
• Design and deliver workshops, training courses, and educational materials to improve data, analytics, and AI literacy across the organization.
• Guide and mentor analysts and business stakeholders on data visualization best practices, analytics techniques, and the use of analytics tools.
• Work with various departments to understand their business requirements and develop tailored analytics solutions.
• Identify and solve problems related to data, processes, and tools to improve overall data utilization.
• Engage with teams to share data stories, promote collaboration, and create an integrated analytics‑driven culture across the organization.
• Develop and maintain documentation, guidelines, and best practices on analytics processes, data visualization standards, AI tools, and their use.
• Monitor performance, usage, and business impact of Data, Analytics & AI initiatives to measure success.
• Keep up‑to‑date with the latest technologies and industry trends in data visualization and analytics to drive innovation.

Required Skills and Qualifications

• Experience in dimensional data modeling, software analysis, design, development, and testing for data warehousing solutions.
• Proficiency in data science, machine learning, or AI concepts; practical experience in prompt engineering and using generative AI tools.
• Strong communication and presentation skills to explain complex topics clearly to both technical and non‑technical audiences.
• A strong understanding of data quality, security, and governance principles.
• Proficiency in tools like Tableau, Power BI, or similar platforms for creating and interpreting data visualizations.
• Familiarity with SQL, and programming languages like Python or R for data manipulation and analysis.