Job Description

Responsibility:

• Handle data management and operation activities as BAU or assigned projects in data platforms, including data injection, data masking, data authorization, data aggregation, data labelling, troubleshooting and user supports
• Liaise with end users and IT teams from senior to working levels to serve, evaluate, prioritize, devise, handshake and track progress on end-to-end data requests
• Provide analysis, recommendations and solutions on new data initiatives, tackle pain points or meet new initiatives in data enablement, data analysis or data delivery areas
• Hold periodic meetings to discuss, summarize and report progress, issues, enhancements and follow-up actions related to data platforms
• Conduct periodic review, analysis, alignment and enrichments in data related policies, procedures, guidelines, models, standards, etc.
• Participate in requirement definition, design review, UAT, rollout and support activities in primarily owned or supported systems
• Handle administrative and management tasks for data teams and platforms, including metrics, reports, audits, trainings, demonstrations, announcements, license renewals and administrative tasks, etc.
• Provide guidance, mentorship and knowledge transfer to junior teammates and cross functional teams

Requirements:

• Degree holder in Information Technology, Operation or related disciplines
• At least 5 years in BAU or operational management in handling data requests, data security and access control, data management procedures establishment, review and enrichments
• Excellent communication, interpersonal and problem-solving skills with different parties including end users, cross functional teams and managements from various business and technical units
• Ability to analyze requests, address issues, summarize findings, devise proper solutions, present implementation plans and oversee executions in data platforms
• Ability to work independently and under pressure, resolve conflicts, mentoring teammates and complete assigned tasks within schedule
• Working experiences in requirement analysis, design review, UAT and rollout of sizable data platforms
• Willingness in handling strategic projects or ad-hoc tasks in data domains
• Desirable to have working experience in financial industries or large corporations with well-established data policies, governance, management, standards, guidelines and procedures
• Advantage with knowledge and experience in data projects including data injection, data cleansing, data analytics, data visualization, big data and data tools
• Bonus for knowledge or experience in SQL, VBA & Python
• Good command in spoken and written Cantonese and English, proficiency in Mandarin is desired