Data Manager Lead
il y a 3 jours
Within GO Organization, Processes and Data, Chief Data Officer for Group Operations is in charge of driving internal AXA GO Data & AI transformation.
The focus of this job position is specifically on data management to support data management activities across AXA GO Data Domains and lead internal project belonging to Data & AI transformation.
MISSION :
As a Data Management Lead, under the leadership of the Chief Data Officer, your mission is to provide users with high quality Data that is easily accessible. You leverage data as an asset through rigorous data documentation ensuring data quality and compliance with privacy and security rules; lastly you support and advice teams in their use of data.
To leverage the data assets of the company:
- Identify the company business critical data and work with system experts to document data
- Maintain the Data IT data dictionary with necessary technical and functional information
- Capitalize on external sources of data
To ensure data quality & compliance with data privacy and security regulation:
- Ensure data is consistent and organized according to the defined business rules, and that these rules are properly integrated into the information system
- Monitor and enforce compliance with the requirements and rules on customer data
- Define, implement and analyze key performance indicators to monitor master data quality
- Provide guidance to individuals with stewardship responsibilities on Data across GO
- Administrate the access to data to ensure data is used according to the privacy and security standards
- Take part in data governance committees
To support and advise teams in their use of data:
- Use data expertise to advise teams in the selection of the appropriate data
- Act as an ambassador for good data management and assist data users in the data privacy related processes
- Monitor data usage
To contribute to Data and AI transformation roadmap
- Lead projects from Data & AI foundations portfolio
- Organize and deliver project outcomes to bring expected business impact
- Promote adoption of data & AI and communicate on successful data stories
PROFILE :
Technical & business skills:
- Scientific training / IT (engineering school, master) with good notions in probability / statistics
- Mastering Data Management practices as described for instance in the Data Management Book of Knowledge (DMBOK from DAMA), including Data Lifecycle Management across Core IT & Big Data ecosystems as well as Data Privacy & Security constraints
- Good knowledge of one of business data domains (Procurement, Finance, HR)
- Good knowledge of Information systems and underlying technologies (databases, data lakes, data integration)
- Mastering a Data Visualization Tool (PowerBI or other) and query languages
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