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Retrun to TopChina National Aviation Holding Corporation Limited
2025 High-Level Talent Recruitment:
Engine Management Expert
Work Location
Shenzhen, Shenzhen Airlines
Position Overview
I.Key Responsibilities
1. Be responsible for evaluating aircraft engine selection and retirement strategies, and providing recommendations to senior management.
2. Provide technical justification for aircraft engines from an engineering maintenance perspective, and offering suggestions to management aligned with the company's maintenance engineering technology development.
3. Lead and organize R&D projects related to aircraft engines within the aircraft engineering maintenance field.
4. Chair the Powerplant Reliability Committee, providing recommendations and guidance on aircraft powerplant reliability.
5. Investigate major recurring faults related to aircraft engines and develop corresponding preventive maintenance solutions.
6. Mentor and develop a team of future specialists.
II.Number of Openings:1.
III.Qualifications&Requirements
Education: Ph.D.degree.
Professional Expertise: Possess profound and solid expertise in engine systems and maintenance, including but not limited to:
1. Comprehensive management of engine maintenance engineering and planning processes.
2. Ability to establish engine reliability frameworks and quantitative metrics.
3. Competence in model-data fusion for engine remaining useful life prediction and fault diagnosis.
4. Proficiency in data-driven predictive maintenance modeling.
5. Strong skills in engine component failure analysis.
Professional Achievements/Skills
Must have achieved at least ONE of the following:
1. Led the promotion and application of at least 2 new technologies,processes,methods,or products in aircraft maintenance or airworthiness management,resulting in significant economic or social benefits.
2. Made at least 2 inventions or technological innovations in aircraft maintenance or airworthiness management, resolving major technical challenges and making outstanding contributions to flight safety and technical management.
3. Led or played a primary role in developing preventive measures for at least 2 recurring(or major)faults,or major modification(or major damage repair)schemes for aircraft,which were approved and implemented by the competent authority.
4. Resolved critical technical issues during aircraft overhaul(including structural checks)or during the overhaul of engines,complex components,and airborne equipment(APUs,fuel regulators,etc.),achieving significant economic or social benefits.
5. Identified and supervised the resolution of major technical issues during type certification reviews of aircraft or during Technical Standard Order(TSO)project reviews and re-examinations for airborne equipment and components manufacturing,with proven compliance to airworthiness requirements.
6. Identified and supervised the resolution of major technical quality issues during airworthiness surveillance inspections,or discovered significant hidden dangers affecting flight safety,making outstanding achievements recognized by the competent authority.
Work Experience Requirements:
1. Relevant work experience in civil aviation,transportation,manufacturing,or service industries;experience with an airline is preferred.
2. After obtaining a Ph.D.,must have held a formal position in a renowned overseas enterprise or R&D institution for at least 36 consecutive months.For those who obtained their Ph.D.overseas,work experience and duration requirements may be appropriately relaxed(does not apply to those obtaining overseas Ph.D.degrees through Sino-foreign joint training programs).
3. The selected candidate must commit to at least one full term of employment(3 years).
Capabilities&Attributes:
1. High integrity and upright character.
2. Ability to pioneer new research areas or solve critical technical problems in professional practice.
3. Strategic vision and foresight,capable of tracking cutting-edge developments in the field,with acute insight and the ability to integrate advanced technologies.
4. Systematic and complex management thinking,strong resilience under pressure,sound decision-making skills,and excellent problem diagnosis capabilities.
Compensation, Benefits & Support Policies
CNAH will offer a market-competitive compensation and benefits package(60,000-10,000RMB/month). The specific offer will be determined based on the candidate's interview performance, qualifications, and personal capabilities.
Application Method & Deadline
I. Application Method
Applications are accepted online only. Please visit the CNAH recruitment website(http://zhaopin.airchina.com.cn/), register,and apply as instructed.
II.Application Deadline:September 8,2025 (Beijing Time).
III.Contact Information
Ms. Kang, Human Resources Department of CNAH
Tel:+86 010-61462247
Email: capx2020@163.com
Recruitment Process
The recruitment process typically follows these key stages: announcement posting, qualification auditing, interview and comprehensive evaluation, background check, and final selection. Specific details regarding the timing and venue for each stage will be communicated to candidates in advance through appropriate channels.
Important Notes
Before applying, candidates should thoroughly review the relevant information and requirements for this recruitment.
Applicants are solely responsible for the authenticity of the information provided. Any discrepancy found may result in the cancellation of their test or employment eligibility by CNAH.
Notifications and related updates throughout the recruitment process will be communicated via email or phone. Please ensure timely attention and remain accessible for communication.
China National Aviation Holding Corporation Limited
2025 High-Level Talent Recruitment:
Marketing & Service Product Design Expert
Work Location
Beijing, Air China
Position Overview
I. Key Responsibilities:
1. Customer Marketing Data Governance & Application: Build a data-driven service product operation system; optimize service processes through data analysis; design precision service solutions for high-value customers.
2. End-to-End Marketing Service Product Management: Lead the R&D, delivery, promotion, and iterative optimization of service products. Develop competitive products, formulate business plans, budgets, and product roadmaps aligned with organizational goals; enhance and implement operational strategies.
3. User Experience Research & Product Model Innovation: Analyze user experience pain points related to platform features, products, and services; research and establish methodologies; optimize product management models.
4. Integration of Emerging Technologies & Diversified Service Channels: Leverage new internet business models and market trends to explore new industry channels (e.g., social commerce, cross-border ecosystems); enhance the quality and efficiency of marketing services.
5. Industry Trend Insight & Operational Refinement: Monitor civil aviation industry dynamics and passenger behavior changes; drive refined operations for marketing services; integrate industry trends with business needs to design and implement products.
II. Number of Openings: 1
III. Qualifications & Requirements
Education: Must hold a Ph.D. degree in Mathematics, Data Analysis, Marketing, Product Design, or a related field.
Professional Expertise:
1. Core Competencies:
(1) Product Design Capability: Proficient in user research methods and experience design principles; able to produce professional deliverables such as user flow charts and empathy maps; skilled in using design tools like Axure.
(2) Market & Data Analysis Capability: Ability to develop research plans based on market conditions; analyze industry trends and consumer behavior; drive product and marketing optimization through data; establish scientific evaluation indicator systems.
(3) Marketing Planning Capability: Ability to formulate comprehensive marketing strategies and product promotion plans.
2. Language
Excellent command of English or other major foreign languages for professional working communication; fluency in international business and technical communication is required.
3.Work Experience Requirements:
(1) Relevant work experience in marketing service design within the civil aviation, transportation, or service industries. Candidates with prior airline experience, familiarity with civil aviation industry policies, regulations, technical standards, safety protocols, and an understanding of the air transport market characteristics and airline operational models are preferred.
(2) After obtaining a Ph.D., candidates must have held a formal position in a renowned overseas enterprise or R&D institution for at least 36 consecutive months. For those who obtained their Ph.D. overseas, work experience and duration requirements may be appropriately relaxed (does not apply to those obtaining overseas Ph.D. degrees through Sino-foreign joint training programs).
(3) The selected candidate must commit to at least one full term of employment (3 years).
4.Capabilities & Attributes:
(1) Must be physically and mentally capable of performing job duties.
(2) Strong innovative thinking and acute sensitivity to market trends. Ability to quickly grasp the impact of economic changes on the civil aviation market, adjust product strategies promptly, and design differentiated civil aviation service products.
(3) Compliance Awareness (Strict adherence to civil aviation safety and service standards, ensuring product design meets industry regulatory requirements).
(4) Communication, coordination, and cross-departmental collaboration skills; strong resilience under pressure; ability to manage multiple tasks simultaneously.
(5) High sense of responsibility, rigorous professional ethics, exceptional teamwork spirit, and strong alignment with the company's corporate culture.
Compensation,Benefits&Support Policies
CNAH will offer a market-competitive compensation and benefits package(60,000-10,000RMB/month).The specific offer will be determined based on the candidate's interview performance, qualifications, and personal capabilities.
Application Method&Deadline
I.Application Method
Applications are accepted online only. Please visit the CNAH recruitment website(http://zhaopin.airchina.com.cn/), register,and apply as instructed.
II.Application Deadline: September 8, 2025 (Beijing Time).
III.Contact Information
Ms. Kang, Human Resources Department of CNAH
Tel: +86 010-61462247
Email: capx2020@163.com
Recruitment Process
The recruitment process typically follows these key stages: announcement posting, qualification auditing, interview and comprehensive evaluation, background check, and final selection. Specific details regarding the timing and venue for each stage will be communicated to candidates in advance through appropriate channels.
Important Notes
Before applying, candidates should thoroughly review the relevant information and requirements for this recruitment.
Applicants are solely responsible for the authenticity of the information provided. Any discrepancy found may result in the cancellation of their test or employment eligibility by CNAH.
Notifications and related updates throughout the recruitment process will be communicated via email or phone. Please ensure timely attention and remain accessible for communication.
China National Aviation Holding Corporation Limited
2025 High-Level Talent Recruitment:
Artificial Intelligence Expert
Work Location
Beijing, Air China
Position Overview
I. Key Responsibilities:
1. Strategy Formulation & Execution
* (1) Develop the group's AI technology vision and a precise 3-5 year roadmap aligned with civil aviation industry trends and group strategic objectives; drive AI-powered business innovation.
* (2) Lead cross-business-line AI empowerment initiatives; establish efficient collaboration mechanisms to ensure technical solutions are highly aligned with business needs.
2. Technical Leadership
* (1) Lead Large-Scale AI Model System Architecture Design: Integrate the design and construction of intelligent agent and large model application systems tailored to aviation scenarios, covering the entire lifecycle from data flow and model development to inference deployment, ensuring high performance and high availability in practical applications.
* (2) Pioneering Large-Scale Model Algorithm Innovation & Engineering Optimization: Focus on advancing key technological innovations and applications in large-scale models, including model optimization, training efficiency improvement, and inference acceleration. Effectively translate advanced algorithmic achievements into engineering practice, continuously enhancing system experience and resource utilization through technical means.
* (3) Data Assets & Intelligent Data Flow Management: Build a high-quality, end-to-end data processing system covering data collection, cleaning, labeling, governance, and security control, providing solid support for large model training and deployment, while strengthening data compliance and privacy protection.
* (4) International Frontier Trends & Team Development: Closely track the latest international developments in AI; actively engage in cooperation and exchange with top global institutions; foster team learning and technology introduction; promote talent growth and teamwork; significantly enhance the company's global technological competitiveness.
3. Driving Innovative AI Implementation in Civil Aviation Business
* (1) Effectively optimize operational efficiency through AI technology; accurately quantify ROI and promote scalable application.
* (2) Continuously explore innovative scenarios and application value for AI in key areas such as flight operations, customer service, aviation safety, and intelligent decision-making, closely integrated with the company's core business.
* (3) Systematically cultivate AI thinking within business departments; lead AI awareness training for senior executives; comprehensively elevate the group's overall AI application level.
II. Number of Openings: 1
III. Qualifications & Requirements
Education:
Must hold a Ph.D. degree. A degree in Computer Science, Artificial Intelligence, Automation, Electronic Information, or a related field is preferred.
Professional Expertise:
1. Proficient in mainstream deep learning frameworks (e.g.PyTorch, TensorFlow) with substantial practical experience in the engineering development and optimization of large model systems.
2. Deep expertise in key technologies such as distributed training, inference acceleration, and model compression; ability to perform efficient technical selection and ensure successful implementation based on complex business requirements.
3. Familiar with cloud computing platforms and engineering deployment tools (e.g.Docker, Kubernetes); possess experience deploying models in various complex cloud environments.
4. Publication in top-tier conferences (NeurIPS/ICML/CVPR) or holding AI patents is preferred.
5. Excellent command of English or another major foreign language for professional work communication; fluency in international business and technical communication is required.
Work Experience Requirements:
1. Professional technical or management talent with work experience in natural sciences, engineering technology, management innovation, or related fields, demonstrating high research standards and strong technological innovation capabilities.
2. Relevant work experience in civil aviation, transportation, manufacturing, or service industries. Candidates with comprehensive AI application experience within the civil aviation or transportation sectors are preferred.
3. After obtaining a Ph.D., must have held a formal position in a renowned overseas enterprise or R&D institution for at least 36 consecutive months. For those who obtained their Ph.D. overseas, work experience and duration requirements may be appropriately relaxed (does not apply to those obtaining overseas Ph.D. degrees through Sino-foreign joint training programs).
4. The selected candidate must commit to at least one full term of employment (3 years).
Capabilities & Attributes:
1. Excellent strategic thinking, cross-cultural communication, and project leadership skills; proven experience successfully driving large projects in complex environments.
2. Strong global perspective and industry acumen; ability to keenly capture industry frontier dynamics and business innovation opportunities, translating them into tangible results.
3. High sense of responsibility, rigorous professional ethics, exceptional teamwork spirit, and strong alignment with the company's corporate culture.
Compensation,Benefits&Support Policies
CNAH will offer a market-competitive compensation and benefits package(60,000-10,000RMB/month).The specific offer will be determined based on the candidate's interview performance, qualifications, and personal capabilities.
Application Method&Deadline
I.Application Method
Applications are accepted online only. Please visit the CNAH recruitment website(http://zhaopin.airchina.com.cn/), register,and apply as instructed.
II.Application Deadline:September 8,2025 (Beijing Time).
III.Contact Information
Ms. Kang, Human Resources Department of CNAH
Tel:+86 010-61462247
Email: capx2020@163.com
Recruitment Process
The recruitment process typically follows these key stages: announcement posting, qualification auditing, interview and comprehensive evaluation, background check, and final selection. Specific details regarding the timing and venue for each stage will be communicated to candidates in advance through appropriate channels.
Important Notes
Before applying, candidates should thoroughly review the relevant information and requirements for this recruitment.
Applicants are solely responsible for the authenticity of the information provided. Any discrepancy found may result in the cancellation of their test or employment eligibility by CNAH.
Notifications and related updates throughout the recruitment process will be communicated via email or phone. Please ensure timely attention and remain accessible for communication.
China National Aviation Holding Corporation Limited
2025 High-Level Talent Recruitment:
Data Architecture Expert
Work Location
Beijing, Air China
Position Overview
I.Key Responsibilities:
1. Lead Group Data Architecture Strategy & Planning
(1) Insight into global data technology trends (e.g., Cloud Computing, Big Data, AI/ML, Data Mesh/Fabric); develop and continuously evolve the group-level data architecture blueprint, technical vision, and roadmap aligned with business strategy (safety, operations, service, marketing, cost, etc.) and AI application needs.
(2) Responsible for the top-level design, standardization, and unified governance of the group's overall data architecture, ensuring its foresight, consistency, scalability, security and compliance (with relevant domestic and international regulations).
2. Lead Core Technical Decisions & Major Projects
(1) Formulate and decide the technical direction, core component selection, and technical standards for the group's data technology platform (or data foundation).
(2) Chair or deeply participate in requirement analysis, architecture design reviews, technical solution validation, and key milestone guidance for major group-level data platform, data governance, and data intelligence application projects, ensuring technical advancement and practical implementation.
3. Build Data Assets & Drive Value Realization
(1) Design and promote the implementation of core domain data models (e.g., Customer, Flight, Aircraft, Crew, Finance).
(2) Design and implement secure, efficient data integration, sharing, and exchange mechanisms across business domains and organizations (including external partners); break down data silos; maximize data value; provide high-quality data support for precision marketing, operational optimization, safety management, cost control, customer experience enhancement, and AI model training.
4. Build Excellent Data Platform Operations System
(1) Establish and continuously optimize the operational management system for the group's data platforms, defining and monitoring key operational indicators (SLAs, performance, cost, data quality, security posture, etc.).
(2) Develop and promote technical operation specifications, standards, and best practices for data platforms, ensuring stability, reliability, and efficient operation.
5. Develop Data Technology Talent Pipeline
(1) Responsible for building and improving the group's data technology (architecture, engineering, governance, analytics) training system.
(2) Lead and enable internal data technology teams through technical sharing, coaching, and reviews, continuously elevating overall technical capability and expertise.
II.Number of Openings: 1
III.Qualifications & Requirements
Education: Must hold a Ph.D. degree. A degree in Computer Science, Information Technology, Data Science, or a related field is preferred.
Professional Expertise:
(1) Top-Tier Architecture Skills: Proficient in design methodologies (e.g., Data Mesh, Data Fabric, Lakehouse), evolution roadmaps, and implementation strategies for large-scale, complex enterprise data architecture; possesses full lifecycle experience from strategic planning to delivery.
(2) Data Governance Capability: Deep understanding and practical experience with mainstream data governance frameworks; familiar with technical solutions and tools for core areas like metadata management, data quality, data standards, data security, and master data management.
(3) Data Value & AI-Driven: Expertise in methods for leveraging data (especially large-scale, multi-source heterogeneous data) to drive business value; hands-on experience building data platforms supporting advanced analytics, AI/ML model training, and deployment.Familiar with data analysis, data science workflows, and their requirements for data architecture.
(4) Technical Depth & Breadth: Strong command of modern data ecosystem technologies (e.g., Cloud platforms-Huawei Cloud; Big Data tech-Hadoop/Spark/Flink; Databases-SQL/NoSQL/NewSQL; Data Warehouse/Lakehouse; Stream Processing; Data pipeline tools; Data Catalog; API management).
Work Experience Requirements:
(1) Experience in data platform/architecture construction within air transport, logistics, large-scale manufacturing, or other related complex industries; core leadership experience in large enterprise digital transformation or data mid-office construction projects.
(2) Relevant work experience in civil aviation, transportation, manufacturing, or service industries; experience with an airline is preferred.
(3) After obtaining a Ph.D., must have held a formal position in a renowned overseas enterprise or R&D institution for at least 36 consecutive months. For those who obtained their Ph.D. overseas, work experience and duration requirements may be appropriately relaxed (does not apply to those obtaining overseas Ph.D. degrees through Sino-foreign joint training programs).
(4) The selected candidate must commit to at least one full term of employment (3 years).
Capabilities & Attributes:
(1) Must be physically and mentally capable of performing job duties.
(2) Exceptional strategic thinking and planning ability: Capable of translating business strategy into executable data technology strategy and architecture blueprints.
(3) Strong analytical and problem-solving skills: Adept at handling complex technical challenges and designing highly available, scalable, secure, and compliant solutions.
(4) Outstanding communication, coordination, and influence: Ability to clearly articulate complex technical concepts, value propositions, and roadmaps to technical teams, business units, and senior management; effectively promote cross-departmental and cross-level collaboration.
(5) Leadership and team building: Ability to lead and develop high-performing technical teams, fostering an innovative and pragmatic technical culture. Experience managing technical teams is preferred.
(6) Strong compliance awareness: Deep understanding of data security, privacy protection (especially international regulations like GDPR, CCPA), and industry regulatory requirements.
Compensation,Benefits&Support Policies
CNAH will offer a market-competitive compensation and benefits package(60,000-10,000RMB/month).The specific offer will be determined based on the candidate's interview performance, qualifications, and personal capabilities.
Application Method&Deadline
I.Application Method
Applications are accepted online only. Please visit the CNAH recruitment website(http://zhaopin.airchina.com.cn/), register,and apply as instructed.
II.Application Deadline: September 8, 2025 (Beijing Time).
III.Contact Information
Ms. Kang, Human Resources Department
Tel: +86 010-61462247
Email: capx2020@163.com
Recruitment Process
The recruitment process typically follows these key stages: announcement posting, qualification auditing, interview and comprehensive evaluation, background check, and final selection. Specific details regarding the timing and venue for each stage will be communicated to candidates in advance through appropriate channels.
Important Notes
Before applying, candidates should thoroughly review the relevant information and requirements for this recruitment.
Applicants are solely responsible for the authenticity of the information provided. Any discrepancy found may result in the cancellation of their test or employment eligibility by CNAH.
Notifications and related updates throughout the recruitment process will be communicated via email or phone. Please ensure timely attention and remain accessible for communication.