Demand and Revenue Planning Transformation and Technology Lead

About GlobalFoundries:

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power-efficient, and high-performance solutions for high-growth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity, and sustainability. For more information, visit www.gf.com.   

Summary of Role:   

The Demand and Revenue Planning Transformation and Technology Lead will play a critical role in advancing the processes, data capabilities, and technology ecosystem supporting the Demand Planning and Revenue Planning Management (RPM) organizations at GlobalFoundries. This role will serve as the bridge between business teams and IT, translating planning challenges into scalable technical solutions across systems, data, analytics, automation, and artificial intelligence. The successful candidate will combine strong technical depth, business acumen, and executive communication skills to modernize planning workflows, improve decision quality, and enable sustainable adoption across both organizations. 

Essential Responsibilities:  

• Partner with Demand Planning and RPM leaders to manage the transformation portfolio, sequence priorities, clarify dependencies, and track benefits realization. 

• Lead cross-functional process transformation initiatives across the Demand Planning and RPM organizations, from current-state assessment through solution design, implementation, adoption, and continuous improvement. 

• Identify process gaps, manual work, data limitations, and system constraints, and develop prioritized transformation roadmaps aligned with business objectives and measurable outcomes. 

• Serve as the primary business interface with IT and external technology partners for planning-related solutions and integrations. 

• Facilitate working sessions with technical and non-technical audiences and communicate complex concepts in clear, business-relevant language. 

• Assess data quality, lineage, availability, and consistency across source systems; define validation rules and partner with data owners to resolve root causes. 

• Design, develop, and support scalable analytical and technical solutions using tools such as Python, SQL, Power BI, Power Automate, Excel, APIs, and approved AI platforms. 

• Develop automation, system interfaces, and reusable analytical tools that reduce manual effort, strengthen controls, and accelerate planning cycles. 

• Identify and implement practical AI and advanced analytics use cases, including decision support, anomaly detection, root-cause analysis, workflow assistance, and insight generation. 

• Develop dashboards, analyses, and executive-ready presentations that clearly communicate business problems, transformation progress, technical tradeoffs, risks, recommendations, and value delivered. 

• Build technical capability within the organizations through training, documentation, reusable standards, and coaching on data, automation, AI, and analytical tools. 

Other Responsibilities:  

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs. 

Required Qualifications:  

• Education: Bachelor’s degree or higher in Engineering, Computer Science, Data Science, Information Systems, Supply Chain, Business Analytics, or related fields. 

• Experience: Minimum of five years of experience in process transformation, business systems, data analytics, technology delivery, planning, supply chain, finance, or related discipline. 

• Demonstrated experience translating complex business needs into scalable process, data, and technology solutions. 

• Hands-on proficiency with data analysis and coding tools such as Python and SQL, including the ability to review, troubleshoot, and explain technical logic. 

• Experience developing business intelligence and automation solutions using Power BI, Power Automate, advanced Excel, or comparable platforms. 

• Experience with system integrations, data pipelines, APIs, data models, testing, and production deployment in an enterprise environment. 

• Working knowledge of AI, machine learning, generative AI, and responsible AI concepts, with experience applying AI to business processes or analytical workflows. 

• Experience partnering with IT and technical teams on requirements, architecture, security, access, integration, testing, deployment, and support. 

• Strong analytical and problem-solving skills with the ability to structure ambiguous problems, identify root causes, and recommend practical solutions. 

• Strong business acumen and the ability to understand interconnected planning, operational, financial, and commercial processes. 

• Executive-level written and verbal communication skills, including the ability to create compelling presentations and present recommendations to senior leadership. 

• Demonstrated ability to influence across functions and work effectively with both highly technical and non-technical stakeholders. 

• Language: Fluent in English. 

Preferred Qualifications:  

• Master’s degree in a relevant technical, analytical, engineering, supply chain, or business discipline. 

• Experience supporting demand planning, revenue planning, supply chain planning, sales and operations planning, finance, or semiconductor industry processes. 

• Experience with enterprise planning and ERP platforms such as SAP, Oracle, Kinaxis, Logility, Anaplan, or similar tools. 

• Experience with cloud data platforms, version control, software development practices, or low-code application development. 

• Experience leading end-to-end transformation programs involving process redesign, systems implementation, data integration, and organizational change. 

• Ability to develop a clear point of view from complex analyses and communicate recommendations through concise, executive-ready storytelling. 

• Strong organizational skills with the ability to manage multiple workstreams, dependencies, and stakeholders simultaneously. 

• Execution oriented, with the ability to move between strategy and hands-on problem-solving to deliver measurable outcomes. 

• Strong attention to detail with a focus on data integrity, documentation, scalability, and sustainable support. 

Expected Salary Range

The exact Salary will be determined based on qualifications, experience and location.