Business Intelligence Architect

GlobalFoundries•Austin, TX
•$124,000 - $208,000

About The Position

The Business Intelligence Architect leads the strategy, governance, delivery, and adoption of enterprise business intelligence and analytics capabilities across GlobalFoundries’ global corporate and manufacturing organizations. The role enables data-driven decision making at scale by modernizing enterprise analytics platforms, developing self-service capabilities, and deploying AI-powered business intelligence solutions. As a strategic partner to executive leadership, the position drives enterprise transformation through Microsoft Fabric, Power BI, Microsoft 365 Copilot, Copilot for Power BI, and related technologies. It balances business strategy, technology leadership, organizational change management, and talent development to deliver measurable business value and establish scalable, governed, and secure analytics ecosystems. The role serves as a technical lead for a global team supporting analytics and reporting across manufacturing, supply chain, finance, HR, commercial operations, engineering, and corporate functions. It owns the enterprise Microsoft Fabric and Power BI platforms, including their strategy, architecture, governance, security, adoption, and operational excellence.

Requirements

  • Proven success partnering with globally distributed technical teams and cross-functional transformation initiatives.
  • Strong executive stakeholder management and strategic consulting capabilities.
  • Experience influencing decisions across multiple business units and functions.
  • Strong change management, communication, coaching, and talent development skills.
  • Ability to build high-performing teams and scale organizational capabilities.
  • Expertise in enterprise business intelligence, analytics architecture, reporting, and performance management.
  • Experience designing and governing enterprise self-service analytics ecosystems.
  • Strong knowledge of data modeling, semantic layer design, KPI frameworks, and analytics governance.
  • Experience supporting large-scale global user communities with diverse analytics needs.
  • Experience with Microsoft Power BI and Fabric Capacity Management, QlikView, semantic models, dataflows, enterprise reporting platforms, analytics governance frameworks, Microsoft 365 Copilot, Copilot Studio, Copilot for Power BI, Microsoft Fabric Data Agents, ETL/ELT frameworks, cloud data warehousing technologies, and SQL.

Nice To Haves

  • At least 7 years in a technical leadership role, with proven experience in business intelligence development, design, performance tuning, and optimization.
  • Bachelor’s degree in Information Systems, Computer Science, Engineering, Data Analytics, Business, or a related field.
  • Advanced degree in Business Administration, Data Science, Analytics, Information Technology, or a related discipline.
  • Experience leading enterprise-scale business intelligence, analytics, data platform, and transformation programs.
  • Experience within global manufacturing, semiconductor, technology, or industrial organizations.
  • Demonstrated success implementing Microsoft Fabric, Power BI, enterprise cloud analytics platforms, and AI enablement initiatives.
  • Experience establishing enterprise governance models for analytics, AI, and self-service data platforms.
  • Industry certifications related to Microsoft Fabric, Power BI, Azure, AI, data architecture, or enterprise technology leadership.

Responsibilities

  • Lead a global team responsible for business intelligence development, analytics engineering, and reporting platforms supporting manufacturing, supply chain, finance, HR, commercial operations, engineering, and corporate functions.
  • Foster innovation, continuous improvement, operational excellence, and data-driven decision making across the enterprise.
  • Own enterprise Microsoft Fabric and Power BI platforms, including platform strategy, architecture, governance, security, adoption, and operational excellence.
  • Modernize legacy analytics environments through cloud-first architectures, platform consolidation, and technical debt reduction initiatives.
  • Establish enterprise governance frameworks for reporting standards, semantic models, data visualization, and citizen development programs.
  • Lead adoption of self-service analytics by developing reusable semantic models, training programs, and enablement frameworks.
  • Influence organizational change management efforts to increase adoption of new technologies, analytics platforms, and AI-powered capabilities.
  • Perform work safely and responsibly and support Environmental, Health, Safety & Security requirements and programs.
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