(09)【2026新幹班】智慧城市類 Smart City

＜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. 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.海外建廠、生產/周邊業務系統和自動化倉儲專案推動； 

2.負責需求訪談和需求分析並推動和跟進專案順利開展； 

3.內外部系統專案整合測試和UAT； 

4.支援或推動跨廠區（包含海外廠區）專案的順利進行； 

5.作為客戶的服務窗口，推動客戶專案順利進行並負責客戶來訪接待；同時協助完成客戶QA和異常調查處理。

1. 雲服務、資安及智慧應用市場訊息收集、競爭產品和未來趨勢分析、客戶開發方向研究。 

2. 產品開發專案之規劃、執行、設計及發展進度掌控、成本控制。 

3. 制定產品的行銷推廣方案，協調市場、業務、運營等團隊確立產品方案， 達成銷售目標。

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。

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.