Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$88к-154к/год
$130к$160кмедиана$200к
По похожим ролям (50) ~ $160к/год
68
Хорошая вакансия
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Обязанности чётко описаны, а работа сочетает аналитику и трансформацию бизнес-процессов в крупной полупроводниковой компании, но зарплатный диапазон ниже рыночного ориентира для похожих ролей.
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Ниже рынкаШирокий охватСовременный стекПолупроводниковая отрасль
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Demand and Revenue Planning Transformation and Technology Lead (AI): Modernizing demand and revenue planning workflows through scalable process, data, analytics, automation, and AI solutions with an accent on system integration, data quality, and executive decision support. Focus on designing transformation roadmaps, developing Python and SQL-based analytical tools, implementing automation and AI use cases, and driving adoption across business and IT stakeholders.
Location: Austin, United States
Salary: $88,000–$154,000 per year
Company
hirify.global manufactures essential semiconductors and develops power-efficient, high-performance solutions for high-growth markets, including AI.
What you will do
Manage the transformation portfolio for Demand Planning and Revenue Planning Management, including priorities, dependencies, and benefits realization.
Lead process transformation from current-state assessment through solution design, implementation, adoption, and continuous improvement.
Identify process, data, and system gaps and develop transformation roadmaps aligned with measurable business outcomes.
Act as the primary business interface with IT and external technology partners for planning solutions and integrations.
Assess data quality, lineage, availability, and consistency; define validation rules and resolve root causes with data owners.
Design analytical and technical solutions, automation, system interfaces, dashboards, and reusable tools using Python, SQL, Power BI, Power Automate, Excel, APIs, and approved AI platforms.
Implement AI and advanced analytics use cases such as decision support, anomaly detection, root-cause analysis, workflow assistance, and insight generation.
Prepare executive-ready analyses and presentations, and build organizational capability through training, documentation, standards, and coaching.
Requirements
Bachelor’s degree or higher in Engineering, Computer Science, Data Science, Information Systems, Supply Chain, Business Analytics, or a related field.
At least five years of experience in process transformation, business systems, data analytics, technology delivery, planning, supply chain, finance, or a related discipline.
Experience translating complex business needs into scalable process, data, and technology solutions.
Hands-on proficiency in Python and SQL, including reviewing, troubleshooting, and explaining technical logic.
Experience developing business intelligence and automation solutions with 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, 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, problem-solving, business, communication, presentation, and cross-functional influencing skills, including working with technical and non-technical stakeholders.
Fluent English.
Nice to have
Master’s degree in a relevant technical, analytical, engineering, supply chain, or business discipline.
Experience with demand planning, revenue planning, supply chain planning, sales and operations planning, finance, or semiconductor industry processes.
Experience with SAP, Oracle, Kinaxis, Logility, Anaplan, or similar enterprise planning and ERP platforms.
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 derive recommendations from complex analyses and communicate them through concise, executive-ready storytelling.
Strong organizational skills for managing multiple workstreams, dependencies, and stakeholders simultaneously.
Execution-oriented approach, with the ability to move between strategy and hands-on problem-solving.
Strong attention to detail focused on data integrity, documentation, scalability, and sustainable support.
Culture & Benefits
Work in a global semiconductor organization focused on security, longevity, sustainability, and high-performance technology.
Support Environmental, Health, Safety & Security requirements and programs.
Employment practices include equal opportunity and consideration of reasonable accommodation requests.
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