{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Senior Specialist of Business Process Innovation (AI-Driven)",
        "job_level": "高级",AI生成
        "work_category": "全职",AI生成
        "department": "Keeta",
        "location": "迪拜",
        "work_mode": "未披露",AI生成
        "job_category": "运营类"AI生成
    },
    "company": {
        "company_name": "美团",
        "company_industry": "科技零售 / 生活服务",
        "company_size": "10000人以上",
        "company_website": "meituan.com",
        "company_description": "美团通过科技推动服务零售和商品零售的数字化，连接消费者与商户。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": 3,
        "degree": "‌Bachelor’s degree or higher",
        "language": "‌Proficient in English and Urdu as a working language(proof required: CET-6, IELTS 6.5, TOEFL 90+, or assessed  through full English interview)‌",AI生成
        "visa_support": "未披露",
        "responsibilities": "‌Process Optimization and Digital Transformation‌\n\nDiagnosed pain points in existing customer service workflows, designed and drove implementation of optimization initiatives\nLed digital migration and online transformation of customer service systems (e.g., ticketing system, knowledge base)\nCollaborated with product and R&D teams to develop automation tools, reducing manual intervention\n‌Operations Strategy and Data Analytics‌\n\nAnalyzed core metrics such as service efficiency and customer satisfaction using data modeling.\nDelivered periodic business insights reports and formulated quantifiable operational improvement strategies\nDesigned localized service processes and SOPs tailored to the Middle East market characteristics\n‌Cross-Regional Collaboration‌\n\nServed as the BPI liaison, coordinating with local teams in the Middle East to pilot and implement process improvements\nConducted regular overseas business research to identify opportunities for enhancing cross-cultural service delivery",
        "requirements_text": "‌Bachelor’s degree or higher, with 3+ years of experience in BPI or process optimization (preferably in the customer service industry)‌\n‌Proficient in English and Urdu as a working language(proof required: CET-6, IELTS 6.5, TOEFL 90+, or assessed  through full English interview)‌\n‌Skilled in at least one data analysis tool (SQL, Python)‌\n‌Willing to accept long-term assignments in the Middle East (e.g., United Arab Emirates or Pakistan)\nProficient in AI tools (e.g., ChatGPT, Copilot, or equivalent); able to integrate AI into daily workflows to drive tangible efficiency gains.\nProactively explores new AI tools; strong AI learning mindset — comfortable experimenting and documenting best practices in real business contexts.",
        "skills": [AI生成
            "Python",
            "SQL"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "‌1. Capable of diving deep into business systems to drive design‌\n‌2. Data-driven and powered by Voice of Customer to optimize business operations‌\n‌3. Cross-functionally collaborates with multiple international teams, with proven international business e"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://zhaopin.meituan.com/web/position/detail?jobUnionId=4277297636&jobShareType=1"
            }
        ]
    },
    "posting": {
        "posting_id": "4277297636",
        "post_date": "",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://zhaopin.meituan.com/web/position/detail?jobUnionId=4277297636&jobShareType=1"
    },
    "fulltext": "Senior Specialist of Business Process Innovation (AI-Driven)\nSenior Specialist of Business Process Innovation (AI-Driven)\n\n基础信息\n工作地点：迪拜\n部门：Keeta\n职位类别：运营类\n职位族群：业务运营\n更新时间：2026-06-01\n\n岗位职责\n‌Process Optimization and Digital Transformation‌\n\nDiagnosed pain points in existing customer service workflows, designed and drove implementation of optimization initiatives\nLed digital migration and online transformation of customer service systems (e.g., ticketing system, knowledge base)\nCollaborated with product and R&D teams to develop automation tools, reducing manual intervention\n‌Operations Strategy and Data Analytics‌\n\nAnalyzed core metrics such as service efficiency and customer satisfaction using data modeling.\nDelivered periodic business insights reports and formulated quantifiable operational improvement strategies\nDesigned localized service processes and SOPs tailored to the Middle East market characteristics\n‌Cross-Regional Collaboration‌\n\nServed as the BPI liaison, coordinating with local teams in the Middle East to pilot and implement process improvements\nConducted regular overseas business research to identify opportunities for enhancing cross-cultural service delivery\n\n岗位基本要求\n‌Bachelor’s degree or higher, with 3+ years of experience in BPI or process optimization (preferably in the customer service industry)‌\n‌Proficient in English and Urdu as a working language(proof required: CET-6, IELTS 6.5, TOEFL 90+, or assessed  through full English interview)‌\n‌Skilled in at least one data analysis tool (SQL, Python)‌\n‌Willing to accept long-term assignments in the Middle East (e.g., United Arab Emirates or Pakistan)\nProficient in AI tools (e.g., ChatGPT, Copilot, or equivalent); able to integrate AI into daily workflows to drive tangible efficiency gains.\nProactively explores new AI tools; strong AI learning mindset — comfortable experimenting and documenting best practices in real business contexts.\n\n岗位亮点\n‌1. Capable of diving deep into business systems to drive design‌\n‌2. Data-driven and powered by Voice of Customer to optimize business operations‌\n‌3. Cross-functionally collaborates with multiple international teams, with proven international business experience‌\n‌4. Experienced in greenfield market entry and scaling new business initiatives\n5. Full AI toolkit at your fingertips — you won't just use AI; you'll define what AI-driven operations look like in your market.\n6.  Pioneer AI-enhanced workflows with cutting-edge tools, shaping the future of your function.\n‌Process Optimization and Digital Transformation‌\n\nDiagnosed pain points in existing customer service workflows, designed and drove implementation of optimization initiatives\nLed digital migration and online transformation of customer service systems (e.g., ticketing system, knowledge base)\nCollaborated with product and R&D teams to develop automation tools, reducing manual intervention\n‌Operations Strategy and Data Analytics‌\n\nAnalyzed core metrics such as service efficiency and customer satisfaction using data modeling.\nDelivered periodic business insights reports and formulated quantifiable operational improvement strategies\nDesigned localized service processes and SOPs tailored to the Middle East market characteristics\n‌Cross-Regional Collaboration‌\n\nServed as the BPI liaison, coordinating with local teams in the Middle East to pilot and implement process improvements\nConducted regular overseas business research to identify opportunities for enhancing cross-cultural service delivery\n‌Bachelor’s degree or higher, with 3+ years of experience in BPI or process optimization (preferably in the customer service industry)‌\n‌Proficient in English and Urdu as a working language(proof required: CET-6, IELTS 6.5, TOEFL 90+, or assessed  through full English interview)‌\n‌Skilled in at least one data analysis tool (SQL, Python)‌\n‌Willing to accept long-term assignments in the Middle East (e.g., United Arab Emirates or Pakistan)\nProficient in AI tools (e.g., ChatGPT, Copilot, or equivalent); able to integrate AI into daily workflows to drive tangible efficiency gains.\nProactively explores new AI tools; strong AI learning mindset — comfortable experimenting and documenting best practices in real business contexts.",
    "standard_classification": {
        "std_category_code": "B001",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}