BI architect

BI Architect

Remote

W2 role

No OPT CPT

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.

If you are interested or have any references please share resume at mukul@brightmindsol.com.