公司简介

· Drive effective data management capabilities across AME, engaging with markets, GBGIs and IT.
· Manage the AME data management book of work, ensuring on track delivery.
· Support the embedment of data management operating model, defining clear roles and responsibilities.
· Contribute to the design of data management controls, championing the specific needs of AME.
· Serve as the data management lead for markets and businesses in AME supporting the AME Head of Data Engagement.
· Design and deliver effective and actionable insights on data management metrics and proactively identify automation opportunities to reduce risk.
· Work with technology partners to embed proper data governance within systems of records.
· Support embedment of Group Data Strategy, ensuring the regulatory expectations of data management in AME is met.
· Work with markets and business partners to solve data management challenges and problems with fit for purpose recommendations and solutions.
· Knowledge of Data Management principles and understanding of risk management framework
· Understanding of data dictionaries, physical database modelling principles
· Strong analytical skills, proficiency in statical methods and data profiling / validation techniques
· Experience with visualization of data models and business intelligence tool such as Tableau, PowerBI
· Experience in managing and joining large datasets for analysis, aggregation and reporting
· Experience with data management tools, preferably Collibra
· Hands-on skill on data waggling / ETL tool. Knowing of Alteryx/Python is a definite Advantage
· Preferred experience with Relational Databases, Cloud Technologies, UNIX along with an understanding of modern programming languages
· Preferred experience with conceptual data modelling, business data ontology modelling
· Familiarity with business terminology
· Business process analysis skills.
· Good knowledge in organizational change framework and practices, agile management skills with JIRA
· Proven ability to work in large, complex organizations delivering cross entity/ Regional/ Global changes.
· Attention to detail, strong focus on identifying discrepancies and abnormalities in data.
· Strong interpersonal skills – ability to work across organizations at all levels
· Strong communications skills – ability to clearly articulate or document current state and recommendations.