BI Enablement & Analytics Lead 100% Remote

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Apetan Consulting, is seeking the following. Apply via Dice today! BI Enablement & Analytics Lead 100% Remote Top Recommended Titles • BI Enablement & Analytics Lead (Matches your description exactly; strong balance of strategy, enablement, and technical leadership.) • Analytics Enablement Lead (Emphasizes culture-building, training, and strategic analytics adoption.) • Data & Analytics Product Lead (Highlights product ownership of analytics and AI solutions.) • Data Literacy & Analytics Enablement Manager (Strong focus on organization-wide training and data culture.) • AI & Analytics Strategy Lead (Reflects heavy involvement with GenAI, data strategy, and innovation.) More Senior / Strategic Options • Director of BI Enablement & Analytics Strategy • Head of Data Literacy & Analytics Enablement • Director of AI-Driven Analytics More Technical-leaning Options • Lead Analytics Architect & BI Enablement Specialist • Senior Analytics & AI Product Manager If you want a modern, GenAI-forward title • GenAI & Analytics Enablement Lead • AI Adoption & Insights Lead Job Description We are seeking a strategic and hands-on BI Enablement & Analytics Lead to drive the adoption of data-driven decision-making across our organization. Sitting at the intersection of technical development and business strategy, you will be responsible for designing high-impact analytics and AI products while simultaneously building the "data culture" required to support them. You will move beyond simple reporting to act as a true partner to business units-translating complex data into compelling stories, mentoring teams on visualization best practices, and spearheading initiatives to improve data literacy and AI readiness enterprise-wide. Key Responsibilities Product Development & Strategy: Design, develop, and maintain advanced data, analytics, and AI products that solve specific business problems and make insights accessible to non-technical users. Data Literacy & Training: Design and deliver engaging workshops, training courses, and educational materials to elevate data literacy and AI proficiency across the organization. Stakeholder Partnership: Collaborate with cross-functional departments to gather requirements, identify process gaps, and deliver tailored analytics solutions that drive measurable business impact. Mentorship & Best Practices: Guide analysts and business stakeholders on data visualization standards (UI/UX), analytics techniques, and the effective use of BI tools. Culture & Storytelling: Engage with leadership and teams to "share data stories," promoting an integrated analytics-driven culture and encouraging collaboration. Governance & Documentation: Develop and maintain robust documentation, guidelines, and governance frameworks for analytics processes, data visualization standards, and AI tool usage. Performance Monitoring: Track and analyze the usage and business impact of data initiatives to measure success and identify areas for optimization. Innovation: Stay current with emerging trends in Data Science, GenAI, and visualization technologies to continuously innovate internal capabilities. Required Skills And Qualifications Technical Modeling: Proven experience in dimensional data modeling, software analysis, design, and testing for enterprise data warehousing solutions. Visualization Expertise: High-level proficiency in Tableau or Power BI is crucial for creating intuitive and impactful data visualizations. AI & GenAI Proficiency: Essential knowledge of data science and machine learning concepts, with practical experience in Generative AI tools and prompt engineering. Coding & Manipulation: Familiarity with SQL for data querying and programming languages like Python or R for manipulation and analysis. Communication: Exceptional communication and presentation skills, with the specific ability to explain complex technical topics to non-technical audiences clearly. Governance: A strong understanding of data quality, security, and governance principles. Problem Solving: Demonstrated ability to identify root causes of data issues and implement process improvements. Job Responsibilities Product Development & Strategy: Design, develop, and maintain advanced data, analytics, and AI products that solve specific business problems and make insights accessible to non-technical users. Data Literacy & Training: Design and deliver engaging workshops, training courses, and educational materials to elevate data literacy and AI proficiency across the organization. Stakeholder Partnership: Collaborate with cross-functional departments to gather requirements, identify process gaps, and deliver tailored analytics solutions that drive measurable business impact. Mentorship & Best Practices: Guide analysts and business stakeholders on data visualization standards (UI/UX), analytics techniques, and the effective use of BI tools. Culture & Storytelling: Engage with leadership and teams to "share data stories," promoting an integrated analytics-driven culture and encouraging collaboration. Governance & Documentation: Develop and maintain robust documentation, guidelines, and governance frameworks for analytics processes, data visualization standards, and AI tool usage. Performance Monitoring: Track and analyze the usage and business impact of data initiatives to measure success and identify areas for optimization. Innovation: Stay current with emerging trends in Data Science, GenAI, and visualization technologies to continuously innovate internal capabilities. Apply tot his job Apply To this Job