BI Enablement Specialist (Data, AI & Automation)

Job Title: BI Enablement Specialist (Data, AI & Automation) Location: Washington DC / Hybrid • Key ResponsibilitiesDesign, develop, and maintain data, analytics & AI products to make insights accessible to the entire organization. • The ability to work with cross-functional teams and clearly communicate complex data insights to non-technical audiences is essential. • 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 • The ability to 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 the 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 QualificationsExperience in dimensional data modeling, software analysis, design, development, and testing for data warehousing solutions. • Proficiency in data science, machine learning, or AI concepts is essential, along with practical experience in prompt engineering and using generative AI tools. • Strong communication and presentation skills are critical to explain complex topics clearly to both technical and non-technical audiences • A strong understanding of data quality, security, and governance principles is key. • Proficiency in tools like Tableau, Power BI, or similar platforms is crucial for creating and interpreting data visualizations. • Familiarity with SQL, and programming languages like Python or R, for data manipulation and analysis.