AI Data Analytics Architect

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.

• 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.