Server-DPM 專案管理師 (土城)

1. Material preparation 

2. Supplier management 

3. Administration 

4. Cost analysis skill〝

1. Project management for products 

2. Lead project team to deliver the product in time with good quality and in scope 

3. Work as the coordinator among engineering, manufacturing and customers〝

1. work with Supply chain in Material preparation status reporting and risk highlights to internal and customer. 

2. Supplier management 

3. Project Administration/Coordinator 

4. manage ECO process 

5. work with manufacturing sites in build plan, shipping management.

1. 協調、整合與回應新產品 RFQ 

2. 新產品開發時程規劃與管控 

3. 新產品專案範圍、產品規格、出貨模式 

4. NRE規劃、分析及管控 

5. 協調整合生產單位，導入新產品樣試(NPI)直至量產 

6. 測試時程規劃與進度掌控 

7. 物料管理 

8. 內部資源協調與整合

協助追蹤產品專案進度、時程與資源配置；參與客戶 RFI/RFQ 的資料整理、回覆與英文簡報製作。配合協調跨部門資源以執行新產品樣試 (NPI)，支援追蹤專案 issue 並記錄各階段營運指標，協助在全球區域化佈署 (BOL 模式) 中執行基礎溝通對接。 

Assist in project progress, schedule, and resource tracking. Participate in organizing RFI/RFQ responses and creating English presentations. Collaborate on cross-functional resource coordination for NPI. Support project issue tracking and record KPIs within global regional deployment contexts.

協助開發城市數據中台，支援交通、醫療與能源數據的清理與標準化整合。參與城市級數據服務 (DaaS) 平台的功能需求訪談與系統規格書編寫。配合團隊提供平台運維之技術支援，協助處理企業客戶的操作諮詢與異常案件記錄，並學習跨領域數據應用架構。 

Assist in developing city data middle-platforms and support the cleaning and standardization of transport, medical, and energy data. Participate in requirement interviews and documentation for city-level DaaS platforms. Support platform operation maintenance and assist in handling client inquiries and recording exception cases.

1. 主導專案生命週期管理，包含範疇、時程、資源與成本的規劃及控制。 

2. 導入並主持敏捷（Agile/Scrum）開發流程，提升團隊交付效率與彈性。 

3. 建立並維護跨職能團隊與外部供應商的溝通渠道，確保資訊透明、協作順暢。 

4. 負責專案風險的持續識別、評估與應對計畫的制定及執行。 

5. 精準追蹤專案進度與關鍵指標，並定期向管理層及利害關係人報告。 

6. 管理產品待辦清單（Backlog）與變更請求，確保專案交付成果符合業務目標。 

7. 負責專案交付物的品質把關與最終驗收工作。

【人型機器人專案管理】 

1. 管理人型機器人開發專案的進度、資源、風險與溝通 

2. 與技術團隊 (控制、AI、模擬) 協作 

3. 與外部合作夥伴進行對接與報告

1. 注塑或者鈑金件開發 

2. 生產製造 

3. 機構類產品NPI項目管理

1. 新產品導入及客戶生產驗證管理 

2. 新專案整體readiness及設備管理 

3. 專案規劃及協助 

4. 跨部門溝通協作

1. Manage multiple software projects, responsible for schedule control, issue management, tracking, update and closure. 

2. Perform risk management to minimize the project risks. 

3. Proactive, closely collaboration and communication with clients & project team members. 

4. Partner with PM and Tech Leaders to understand priorities across initiatives, and manage dependencies between teams. 

5. Meeting with clients in English all the way.

1.專案規劃執行 

2.進度控管與風險評估 

3.溝通協調及整合資源 

4.AI Server智慧工廠與數據中心建置

＜About the job＞ 

As the AI Project Manager and System Analyst, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. In addition to developing intelligent applications via related AI and Advanced Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging AI applications based on different use cases and expand your tech skillset in this world-class company. 

＜Job Description＞ 

*Type1：AI Project Manager 

Manages AI-focused projects from initial planning to delivery, ensuring alignment with business goals and promoting innovation. Responsibilities include coordinating cross-functional teams, allocating and optimizing resources, and maintaining project schedules and budgets. The role requires proactive problem-solving to address project challenges and mitigate risks while driving effective communication across departments. 

＜Qualifications＞ 

1. Over 5 years of experience in software project management, with a strong background in Agile methodologies. 

2. Highly proactive, self-motivated, and accountable. 

3. Willing and able to travel internationally for approximately 1-2 months per year. 

＜Required Skills＞ 

1. Strong understanding of the project lifecycle, including planning, execution, monitoring, and closure. 

2. Proven ability to manage project timelines, budgets, and resources effectively, ensuring projects are completed on schedule and within budget.t. 

3. Ability to communicate effectively with individuals from different departments and roles and coordinate resources. 

4. Strong analytical and problem-solving skills, with the ability to swiftly assess complex issues and implement solutions. 

5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) 

(Nice to have, but not necessary) 

1. Familiarity with manufacturing processes 

2. Possession of project management certifications such as PMP or Scrum. 

3. Intermediate or above English proficiency in listening, speaking, reading, and writing. 

*Type 2：AI System Analyst 

Responsible for gathering and analyzing the requirements and contributing to designing, developing, testing, and deploying in all phases of the AI system development project lifecycle, as below： 

1. Collaborate with business data analysts to analyze user requirements and ensure that requirements and acceptance criteria satisfy user needs. 

2. Create a system requirement specification to elaborate on system design, system components/interfaces, and data schema. 

3. Work with the multi-functional engineering team(e.g., data scientist, AI/ML engineer, data engineer, AI software engineer..., etc.) to ensure technical feasibility. 

4. Drive usability and quality of the AI system developed and ensure all system requirements are well implemented. 

5. Work on various enterprise AI system applications and problems, and analyze issues to identify root causes and prevention. 

6. Create the Wireframes(or UI Prototypes) for AI system feature discussion with users and provide them to the UI/UX design team. 

7. Author and update internal documentation; initiate and deliver requirement specification and system analysis/system design documentation. 

＜Required Skills＞ 

1. Practical experience in requirements gathering and analysis and change management 

2. Experience co-working with front-end and back-end system development teams. 

3. Strong analytical, verbal, and written communication, teamwork, and highly collaborative skills. 

4. Experience with Microsoft Visio, Axure RP(or other wireframe tools). 

5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) 

(Nice to have, but not necessary) 

1. Mastery of QA methodology and problem-solving tools/techniques in software engineering. 

2. Knowledge of AI/Data Science Tech(e.g., Machine Learning, Deep Learning, Statistics, Quantitative modeling techniques). 

3. Practical experience in Relational DB (e.g., MS SQL, PostgreSQL) and ability to write SQL queries.

1. 競爭市場分析評估與規劃 

2. 專案規劃與執行

1. 制定自動化設備軟件應用改進完善計畫 

2. 軟件應用工作整體把控 

3. 軟件功能測試、現場設備重大問題調試等技術支持 

4. 專案前期參與軟件需求分析工作 

5. 軟件二次開發應用

1. 協調、整合與回應新產品 RFQ 

2. 新產品開發時程規劃與管控 

3. 新產品專案範圍、產品規格、出貨模式 

4. NRE規劃、分析及管控 

5. 協調整合生產單位，導入新產品樣試(NPI)直至量產 

6. 測試時程規劃與進度掌控 

7. 物料管理 

8. 內部資源協調與整合

1. 營運規劃與定價 

2. 負責銷售報價並管控產品線毛利 

3. 產品營銷與售後支持 

4. 根據架構師及業務提供之銷售規格,設計符合需求之服務產品

1. Project management for products 

2. Lead project team to deliver the product in time with good quality and in scope 

3. Work as the coordinator among engineering, manufacturing and customers

• Deliver marketing strategies/ tactics to support client growth and engagement 

• Design digital marketing plan to drive the business and measure impact across all markets - B2B and Partnerships/Alliances 

• Create contents of creative & message to reflect the essence of the products in all communications 

• Manage full marketing mix, including Events, Sponsorships, Public Relations, Media outcomes based on projects and generate leads across client types  

• Select and manage agency resources with budget planning skills

【通訊產品開發專案管理】 

1.通訊產品專案規劃與進度跟催 

2.專案預算規劃及執行採購流程 

3.負責出貨管理及客戶管理