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GlobalFoundries is seeking a Business Intelligence Architect to lead enterprise analytics strategy, governance, and adoption across manufacturing and corporate functions. You will own Microsoft Fabric and Power BI, drive modernization, and partner with executive leadership to deliver AI-powered BI capabilities at scale.
The role requires global collaboration, strong change management, and proven leadership in BI programs.
About GlobalFoundries: GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
The Business Intelligence Architect leads the strategy, governance, delivery, and adoption of enterprise business intelligence and analytics capabilities across global corporate and manufacturing organizations. This role is responsible for enabling data-driven decision making at scale through the modernization of enterprise analytics platforms, development of self-service capabilities, and deployment of AI-powered business intelligence solutions. Serving as a strategic partner to executive leadership, the role drives enterprise transformation through Microsoft Fabric, Power BI, Microsoft 365 Copilot, Copilot for Power BI, and related technologies. The position balances business strategy, technology leadership, organizational change management, and talent development to deliver measurable business value while establishing scalable, governed, and secure analytics ecosystems.
Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Microsoft Power BI and Fabric Capacity Management, QlikView Semantic Models, Dataflows Enterprise Reporting Platforms Analytics Governance Frameworks Microsoft 365 Copilot, Copilot StudioCopilot for Power BI, Microsoft Fabric Data Agents Familiarity with ETL/ELT Frameworks, Cloud Data Warehousing TechnologiesSQL
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 preferred.
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.
$124,000.00 - $208,000.00The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations. GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory. All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law