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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，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(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(tuán)隊，并確保團(tuán)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(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。 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(tuán)隊更新關(guān)鍵績效指標(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(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。