職位描述: 1、負責公司智慧物業(yè)管理中心(智慧物業(yè))的日常管理工作 2、組織制定并實施物業(yè)公司整體信息化建設(shè)規(guī)劃及管理策略,建立完整的項目管理體系,包括人員編制、項目管理流程、項目實施標準規(guī)范、成本預(yù)算控制與分析、質(zhì)量評估體系、風險識別和控制、技術(shù)管理等 3、負責公司it項目的策劃和管理,確保項目的順利實施,提高系統(tǒng)的可擴展性、穩(wěn)定性以及用戶滿意度 4、協(xié)助領(lǐng)導(dǎo)做好相關(guān)項目的立項審批工作,保證項目順利進行 5、協(xié)調(diào)內(nèi)部各部門的工作關(guān)系,完成上級領(lǐng)導(dǎo)安排的其他工作任務(wù) 職位要求: 1.本科以上學(xué)歷,具有十年以上大型軟件研發(fā)或信息技術(shù)管理經(jīng)驗,熟悉各種物業(yè)信息化管理系統(tǒng)如智慧小區(qū)、智慧商服、智慧社區(qū)、智慧工程建設(shè)等,擁有物業(yè)收繳費業(yè)務(wù),數(shù)據(jù)中后臺,智慧工程,招投標采購等相關(guān)方面的豐富實踐經(jīng)驗 2.具有敏銳的市場洞察力,較強的邏輯思維能力、溝通協(xié)調(diào)能力和決策判斷能力 3.有較強的學(xué)習能力和創(chuàng)新意識,具備高度的責任感和良好的職業(yè)操守
小琪
The Company公司簡介 Multinational Technology Organization dedicated to harnessing the power of AI to transform industries and solve complex challenges 一家致力于利用大數(shù)據(jù)和人工智能的力量來改變行業(yè)并解決復(fù)雜挑戰(zhàn)的跨國科技公司。 The Career工作職責 1. Develop and execute a comprehensive AI innovation strategy in alignment with the organization's mission and objectives. 根據(jù)組織的使命和目標，制定并執(zhí)行全面的人工智能創(chuàng)新戰(zhàn)略。 2. Inspire and lead cross-functional teams to generate and implement innovative AI solutions. 激勵和領(lǐng)導(dǎo)跨職能團隊，開發(fā)并實施創(chuàng)新的人工智能解決方案。 3. Build and maintain strategic partnerships with academic institutions, startups, and industry experts to stay ahead in AI innovation. 與學(xué)術(shù)機構(gòu)、初創(chuàng)企業(yè)和行業(yè)專家建立并保持戰(zhàn)略合作伙伴關(guān)系，在人工智能創(chuàng)新領(lǐng)域保持領(lǐng)先地位。 4. Stay up-to-date with the latest developments in AI, machine learning, and related fields to identify new opportunities for innovation. 了解人工智能、機器學(xué)習及相關(guān)領(lǐng)域的最新發(fā)展，尋找創(chuàng)新的新機遇。 5. Oversee the development of AI prototypes and proof-of-concept projects to validate innovative concepts. 監(jiān)督人工智能原型和概念驗證項目的開發(fā)，以驗證創(chuàng)新概念的可行性。 6. Implement rapid testing and experimentation methods to iterate and refine AI innovation projects. 將快速測試和實驗方法應(yīng)用于AI創(chuàng)新項目，進行迭代和完善。 7. Manage the budget and resources for innovation initiatives, optimizing for maximum impact. 管理創(chuàng)新項目的預(yù)算和資源，以最大程度地優(yōu)化影響力。 8. Oversee the management of intellectual property and patent strategies related to AI innovation. 監(jiān)督與人工智能創(chuàng)新相關(guān)的知識產(chǎn)權(quán)和專利戰(zhàn)略的管理。 9. Conduct market research to identify AI trends, opportunities, and customer needs. 開展市場調(diào)研，以確定人工智能趨勢、機遇和客戶需求。 10.Identify and mitigate potential risks associated with AI innovation efforts. 識別并降低與人工智能創(chuàng)新工作相關(guān)的潛在風險。 11.Effectively communicate the value and progress of innovation initiatives to stakeholders. 有效地向利益相關(guān)者傳達創(chuàng)新項目的價值和進展情況。 The Requirement 職位要求 1. Advanced degree (Ph.D. or equivalent) in Computer Science, Artificial Intelligence, or related field. 在計算機科學(xué)、人工智能或相關(guān)領(lǐng)域擁有博士學(xué)位（或同等學(xué)歷。） 2. Proven experience in AI innovation, with a strong portfolio of successful projects and a deep understanding of AI technologies. 在人工智能創(chuàng)新方面擁有豐富的經(jīng)驗，擁有成功的項目，對人工智能技術(shù)有深刻的理解。 3. Exceptional leadership skills with a track record of leading cross-functional teams in innovative AI projects. 擁有卓越的領(lǐng)導(dǎo)才能，并在創(chuàng)新的人工智能項目中成功領(lǐng)導(dǎo)跨職能團隊。 4. Strategic thinking and the ability to align innovation efforts with business goals. 具有戰(zhàn)略思維，能夠?qū)?chuàng)新工作與業(yè)務(wù)目標相結(jié)合。 5. Strong communication skills to convey complex technical concepts to non-technical stakeholders. 優(yōu)秀的溝通能力，能夠向非技術(shù)人員傳達復(fù)雜的技術(shù)概念。 6. A visionary approach to AI innovation, staying ahead of industry trends and emerging technologies. 高瞻遠矚的人工智能創(chuàng)新方法，走在行業(yè)趨勢和新興技術(shù)的前沿。 7. Ethical and responsible approach to AI innovation and development. 以合乎道德和負責任的方式進行人工智能創(chuàng)新和開發(fā)。 NOTICE: Please provide profile in English and Chinese. 請?zhí)峁┠闹杏⑽暮啔v。
YC Tong
Chief Data Officer (CDO) - 首席數(shù)據(jù)官 The Career 工作職責 1.Develop and execute a comprehensive data strategy with a specific focus on big data, analytics, and data-related products and services. 制定并執(zhí)行全面的數(shù)據(jù)戰(zhàn)略，特別關(guān)注大數(shù)據(jù)、數(shù)據(jù)分析和與數(shù)據(jù)相關(guān)的產(chǎn)品和服務(wù)。 2.Establish and enforce data governance standards and best practices to ensure data quality, privacy, and compliance. 建立和執(zhí)行數(shù)據(jù)治理標準和最佳實踐，確保數(shù)據(jù)的質(zhì)量、隱私和合規(guī)性。 3.Oversee the design and maintenance of a robust data architecture that accommodates the storage, processing, and analysis of vast amounts of data. 監(jiān)督和維護數(shù)據(jù)架構(gòu)的設(shè)計，以適應(yīng)海量數(shù)據(jù)的存儲、處理和分析。 4.Lead initiatives to extract actionable insights from big data, employing advanced analytics and machine learning techniques. 采用先進的數(shù)據(jù)分析技術(shù)和機器學(xué)習技術(shù)，從大數(shù)據(jù)中提取出可操作的方案。 5.Implement and manage robust data security measures to safeguard data integrity and privacy. 實施和管理強有力的數(shù)據(jù)安全措施，以保護數(shù)據(jù)的完整性和隱私。 6.Promote the use of data-driven decision-making processes across the organization, working closely with business units to extract value from big data assets. 推動組織內(nèi)數(shù)據(jù)驅(qū)動的決策過程，與業(yè)務(wù)部門緊密合作，從大數(shù)據(jù)資產(chǎn)中獲取價值。 7.Build, mentor, and manage a high-performing data management team, ensuring the growth and development of team members. 建立、指導(dǎo)和管理一支高效的數(shù)據(jù)管理團隊，并確保團隊成員的成長和發(fā)展。 8.Foster collaborations and partnerships within the big data ecosystem to expand the company's data capabilities and influence. 積極促進并建立大數(shù)據(jù)系統(tǒng)內(nèi)的合作與伙伴關(guān)系，擴大公司的數(shù)據(jù)能力和影響力。 9.Develop and manage the data management budget, ensuring efficient resource allocation and a strong return on investment. 制定并管理數(shù)據(jù)預(yù)算，確保高效的資源分配和豐厚的投資回報。 10.Monitor and report on the effectiveness of data management initiatives, providing regular updates to the executive team on key performance metrics. 監(jiān)測和報告數(shù)據(jù)管理措施的有效性，并定期向管理團隊更新關(guān)鍵績效指標的情況。 The Requirement 職位要求 - Bachelor's degree in data management, computer science, or a related field (Master's or Ph.D. preferred). 數(shù)據(jù)管理、計算機科學(xué)或相關(guān)專業(yè)的學(xué)士學(xué)位（碩士或博士優(yōu)先）。 - Over 10 years of experience in data management, with a strong focus on big data, data analytics, and data governance. 在數(shù)據(jù)管理領(lǐng)域擁有超過10年的經(jīng)驗，專注于大數(shù)據(jù)、數(shù)據(jù)分析和數(shù)據(jù)治理。 - In-depth knowledge of the big data landscape, including emerging trends and industry best practices. 深入了解大數(shù)據(jù)領(lǐng)域，包括新興趨勢和行業(yè)內(nèi)最佳實踐。 - Exceptional leadership and team management skills. 出色的領(lǐng)導(dǎo)能力和團隊管理技能。 - Proficiency in data management tools, data analytics platforms, and data governance frameworks. 熟練掌握數(shù)據(jù)管理工具、數(shù)據(jù)分析平臺和數(shù)據(jù)治理框架。 - Strong communication and interpersonal skills. 優(yōu)秀的溝通能力和人際交往能力。 - Strategic thinker with the ability to translate data insights into actionable strategies. 戰(zhàn)略思維者，能夠?qū)?shù)據(jù)洞察轉(zhuǎn)化為可行的戰(zhàn)略。 NOTICE: Please provide profile in English and Chinese. 請?zhí)峁┠闹杏⑽暮啔v。
YC Tong
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