Power BI and Agentic AI Lead

Garan, IncorporatedNew York, NY

About The Position

We are seeking a highly skilled Senior Power BI & Agentic AI Engineer to lead the design, development, and optimization of enterprise-grade analytics and intelligent automation solutions. This role blends advanced data visualization expertise with emerging capabilities in agentic AI systems, enabling data-driven decision-making and autonomous workflows across the organization. The ideal candidate brings deep experience in Power BI, strong data engineering fundamentals, and hands-on expertise with Microsoft Copilot Studio and Microsoft Foundry. You will play a key role in shaping our AI readiness strategy while delivering scalable, secure, and high-performance BI solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
  • 7+ years of experience in Power BI development and data analytics
  • Strong proficiency in DAX, Power Query (M), and data modeling
  • Experience with SQL and modern data platforms (Azure, Fabric, Synapse, etc.)
  • Hands-on experience with Microsoft Copilot Studio and Microsoft Foundry
  • Solid understanding of AI/ML concepts, particularly LLMs and agent-based systems
  • Experience integrating AI capabilities into business intelligence or enterprise applications
  • Strong problem-solving skills and ability to work in complex, data-rich environments

Nice To Haves

  • Experience with Azure AI services, OpenAI APIs, or similar platforms
  • Knowledge of Python or other scripting languages for data and AI workflows
  • Familiarity with DevOps practices for data and AI (CI/CD, versioning, testing)
  • Experience in building or deploying multi-agent systems or workflow automation tools
  • Understanding of data governance, compliance, and security frameworks

Responsibilities

  • Design, develop, and maintain advanced Power BI dashboards and reports that provide actionable insights to business stakeholders
  • Lead the integration of agentic AI solutions into analytics workflows, enabling intelligent automation and decision support
  • Collaborate cross-functionally with data engineers, business analysts, and AI teams to translate business requirements into technical solutions
  • Architect and implement scalable data models and semantic layers for enterprise reporting
  • Drive adoption of AI-powered tools (e.g., Copilot, autonomous agents) within BI and data workflows
  • Establish best practices for data visualization, performance optimization, and governance
  • Evaluate emerging technologies in AI and analytics, recommending strategic adoption where appropriate
  • Design and manage robust data pipelines and data models using SQL, Azure Synapse, Fabric, or equivalent platforms
  • Ensure data integrity, accuracy, and consistency across multiple data sources and reporting layers
  • Optimize Power BI datasets, including dataflows, DAX calculations, and query performance
  • Implement row-level security (RLS), governance policies, and compliance standards
  • Oversee deployment pipelines, version control, and lifecycle management for BI assets
  • Monitor and troubleshoot performance issues across databases and reporting environments
  • Collaborate with data engineering teams to ensure efficient ETL/ELT processes
  • Maintain documentation for data models, dashboards, and architecture
  • Design and deploy agentic AI solutions using Microsoft Copilot Studio and Microsoft Foundry
  • Develop autonomous or semi-autonomous agents capable of performing business workflows, data analysis, and decision support
  • Integrate AI models with Power BI and enterprise data systems to enable intelligent insights
  • Assess organizational readiness for AI adoption, including data quality, governance, and infrastructure
  • Implement prompt engineering, orchestration, and evaluation frameworks for AI agents
  • Ensure responsible AI practices, including transparency, bias mitigation, and compliance
  • Partner with stakeholders to identify high-impact use cases for AI-driven automation
  • Stay current with advancements in LLMs, multi-agent systems, and enterprise AI platforms
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