The Company公司簡(jiǎn)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(lái)改變行業(yè)并解決復(fù)雜挑戰(zhàn)的跨國(guó)科技公司。 The Career工作職責(zé) 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(biāo)，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(lì)和領(lǐng)導(dǎo)跨職能團(tuán)隊(duì)，開發(fā)并實(shí)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(jī)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(jī)器學(xué)習(xí)及相關(guān)領(lǐng)域的最新發(fā)展，尋找創(chuàng)新的新機(jī)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(yàn)證項(xiàng)目的開發(fā)，以驗(yàn)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(cè)試和實(shí)驗(yàn)方法應(yīng)用于AI創(chuàng)新項(xiàng)目，進(jìn)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(xiàng)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(shí)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(chǎng)調(diào)研，以確定人工智能趨勢(shì)、機(jī)遇和客戶需求。 10.Identify and mitigate potential risks associated with AI innovation efforts. 識(shí)別并降低與人工智能創(chuàng)新工作相關(guān)的潛在風(fēng)險(xiǎn)。 11.Effectively communicate the value and progress of innovation initiatives to stakeholders. 有效地向利益相關(guān)者傳達(dá)創(chuàng)新項(xiàng)目的價(jià)值和進(jìn)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(jì)算機(jī)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(yàn)，擁有成功的項(xiàng)目，對(duì)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(xiàng)目中成功領(lǐng)導(dǎo)跨職能團(tuán)隊(duì)。 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(biāo)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(dá)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(yuǎn)矚的人工智能創(chuàng)新方法，走在行業(yè)趨勢(shì)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(fù)責(zé)任的方式進(jìn)行人工智能創(chuàng)新和開發(fā)。 NOTICE: Please provide profile in English and Chinese. 請(qǐng)?zhí)峁┠闹杏⑽暮?jiǎn)歷。
YC Tong
Chief Data Officer (CDO) - 首席數(shù)據(jù)官 The Career 工作職責(zé) 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(biāo)準(zhǔn)和最佳實(shí)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(hù)數(shù)據(jù)架構(gòu)的設(shè)計(jì)，以適應(yīng)海量數(shù)據(jù)的存儲(chǔ)、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(jìn)的數(shù)據(jù)分析技術(shù)和機(jī)器學(xué)習(xí)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(shí)施和管理強(qiáng)有力的數(shù)據(jù)安全措施，以保護(hù)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(dòng)組織內(nèi)數(shù)據(jù)驅(qū)動(dòng)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(jià)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(tuán)隊(duì)，并確保團(tuán)隊(duì)成員的成長(zhǎng)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(jìn)并建立大數(shù)據(jù)系統(tǒng)內(nèi)的合作與伙伴關(guān)系，擴(kuò)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(bào)。 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(cè)和報(bào)告數(shù)據(jù)管理措施的有效性，并定期向管理團(tuán)隊(duì)更新關(guān)鍵績(jī)效指標(biāo)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(jì)算機(jī)科學(xué)或相關(guān)專業(yè)的學(xué)士學(xué)位（碩士或博士?jī)?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(yàn)，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(shì)和行業(yè)內(nèi)最佳實(shí)踐。 - Exceptional leadership and team management skills. 出色的領(lǐng)導(dǎo)能力和團(tuán)隊(duì)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(tái)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(qǐng)?zhí)峁┠闹杏⑽暮?jiǎn)歷。
YC Tong
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