Demand and Revenue Planning Lead

GlobalFoundries

. Manage the transformation portfolio with Demand Planning and Revenue Planning Management leaders .

Posted 10/20/2026full-timeUnited StatesSenior💰 $88,000 - $154,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in process transformation and data analytics, utilizing Python, SQL, and Power BI to develop scalable solutions that align with business objectives. Capable of leading cross-functional teams and facilitating communication between technical and non-technical stakeholders.

Highest-signal resume keywords

Process TransformationData AnalyticsPython ProficiencyPower BI DevelopmentAI Application in Business

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLPower BIPower AutomateData AnalyticsAutomation SolutionsSystem IntegrationData Pipeline DevelopmentBusiness IntelligenceMachine Learning

Soft Skills

Analytical SkillsProblem-SolvingExecutive CommunicationInfluencing SkillsOrganizational Skills

Tools & Technologies

APIsExcelCloud Data PlatformsSAPOracleKinaxisLogilityAnaplanLow-Code DevelopmentVersion Control

Industry Keywords

Demand PlanningRevenue PlanningSupply ChainFinanceSemiconductor Industry

Tech Stack

Tools & technologies

CloudOraclePythonSQL

About the role

Key responsibilities & impact

Manage the transformation portfolio with Demand Planning and Revenue Planning Management leaders
Sequence priorities, clarify dependencies, and track benefits realization
Lead cross-functional process transformation from current-state assessment through solution design, implementation, adoption, and continuous improvement
Identify process gaps, manual work, data limitations, and system constraints
Develop prioritized transformation roadmaps aligned with business objectives and measurable outcomes
Serve as the primary business interface with IT and external technology partners
Facilitate working sessions with technical and non-technical audiences
Assess data quality, lineage, availability, and consistency; define validation rules and resolve root causes with data owners
Design, develop, and support scalable analytical and technical solutions using Python, SQL, Power BI, Power Automate, Excel, APIs, and approved AI platforms
Develop automation, system interfaces, and reusable analytical tools
Implement 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
Build organizational capability through training, documentation, reusable standards, and coaching
Support Environmental, Health, Safety & Security requirements and programs

Requirements

What you’ll need

Bachelor’s degree or higher in Engineering, Computer Science, Data Science, Information Systems, Supply Chain, Business Analytics, or related fields
Minimum of five years of experience in process transformation, business systems, data analytics, technology delivery, planning, supply chain, finance, or related discipline
Experience translating complex business needs into scalable process, data, and technology solutions
Hands-on proficiency with Python and SQL
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
Strong business acumen across planning, operational, financial, and commercial processes
Executive-level written and verbal communication skills
Ability to influence across functions and work with technical and non-technical stakeholders
Fluent in English
Preferred: Master’s degree in a relevant discipline
Preferred: Experience with demand planning, revenue planning, supply chain planning, sales and operations planning, finance, or semiconductor industry processes
Preferred: Experience with SAP, Oracle, Kinaxis, Logility, Anaplan, or similar enterprise platforms
Preferred: Experience with cloud data platforms, version control, software development practices, or low-code application development
Preferred: Experience leading end-to-end transformation programs
Preferred: Strong organizational skills, execution orientation, and attention to detail

Benefits

Comp & perks

Equal opportunity workplace
Reasonable accommodation during the employment process
Compensation and benefits administered without regard to protected characteristics