面議(經常性薪資達4萬元或以上) 台北市信義區 7年工作經驗 3天前更新
The Chief Data Officer mission is to ensure robust data governance and compliance, drive data quality and privacy, and promote a strong data culture aligned with Group strategy. Responsibilities include:
- Ensuring compliance with the regulatory requirements in terms of data management and data privacy
- Establishing effective data governance to ensure data quality and data Privacy & protection in line with Group requirements.
- Supervising the data priorities of each perimeter in line with both the Group and Entity’s strategy.
- Providing support to the management for the transposition and deployment of data management, and data privacy & protection principles.
- Ensuring reliable and timely reporting of data activities and KPIs to the Group Data - Office to support consolidated steering, regulatory responses and Internal Assessments.
- Supporting IT, Business Units and regulatory Functions for an accurate delimitation of the scope of regulatory use cases.
- Relying on adequate organization aimed to ensure proper governance, quality and operational use of data & AI (subject to Entity’s local organization) across his/her Entity.
- Promoting data culture, effective change management and targeted raining programs at all levels of its organization.
BUSINESS SKILLS:
Data Knowledge, Data Processing, Data Quality, Data Security, Strategy, Market Watch, Information Technology and Intellectual Property, Business-IT Relationship,
Disruptive Innovation
BEHAVIOURAL SKILLS:
Driving Results, Client-focused, Creativity skills, Problem Solving, Active collaboration
Organization skills, Critical Think, Client-focused, Decision Making, Resilience
TRANSVERSAL SKILLS:
Project Management, Culture transformation change management, Business Anticipation, Networking, Commitment Generation, Key Performance Indicators, Setting
TOOLS & METHODOLOGIES:
Test and Lean Methodologies, Agile Methodologies, Enterprise Data Management Tools, Data Visualization, Data preparation tool, IT language (of entity or project) – Python and/or other languages such as SQL/ SAS/ R/ Spark/ Java Script/ Scala,
ETL (Alteryx, Dataiku), Data Lab environments (e.g. Domino), Big Data tools like Hadoop, Spark, Kafka, or others
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