We are seeking a Senior Power BI Architect to lead the design and delivery of enterprise-scale business intelligence and analytics solutions. This role focuses on architecting end-to-end BI platforms, including data integration, semantic modeling, visualization, governance, and performance optimization. You will serve as a trusted advisor for analytics strategy, working closely with business stakeholders, data engineering teams, and cloud architects to build scalable, secure, and insight-driven solutions.

Key Responsibilities

• Define and implement enterprise BI architecture, standards, and best practices.
• Design and optimize Power BI-led analytics solutions across complex business environments.
• Lead data modeling, semantic layer development, metric governance, and reporting frameworks.
• Collaborate with data engineering and cloud teams to integrate BI platforms with Azure-based ecosystems.
• Drive BI modernization, cloud transformation, and analytics platform optimization initiatives.
• Ensure scalability, security, performance, and governance across BI solutions.
• Guide stakeholders in translating business requirements into effective analytics and reporting solutions.
• Mentor and coach BI teams on modern analytics, semantic modeling, and AI-ready BI practices.
• Support pre-sales activities, solution proposals, accelerators, and thought leadership initiatives.
• Lead report rationalization, cost optimization, and executive decision-support platform initiatives.
• Promote adoption of AI-enabled analytics, automated insights, anomaly detection, and narrative BI capabilities.

What Makes You a Great Fit

• 15+ years of experience in Business Intelligence, Analytics, or Data Platform architecture.
• Deep expertise in Power BI, data modeling, semantic layers, and SQL.
• Strong experience leading enterprise-scale BI transformation and modernization programs.
• Hands-on knowledge of Azure data and analytics ecosystems.
• Experience with large-scale deployments of BI platforms such as Power BI, Tableau, and Looker.
• Strong understanding of analytics governance, KPI frameworks, and performance optimization.
• Ability to influence executive stakeholders and drive data-driven decision-making.
• Excellent communication, stakeholder management, and consulting skills.
• Experience in AI-enabled BI, insight automation, and advanced analytics initiatives is highly desirable.
• Proven leadership ability with a track record of mentoring teams and building analytics capabilities at scale.