Misison : The overall objective of
this job is to develop, promote, implement, and lead the enterprise wide data
quality program in order to ensure that we are delivering to our projects and
applications’ users the highest quality of data.
Reporting line:
Hierarchically and
operationally reports to Senior Manager Enterprise Data
Location:
Close to La Défense
Key interactions:
Internally: Data Management
teams, IT and Business teams
Externally: contractors,
experts, vendors
Main Responsibilities
The Data Quality Lead is responsible for developing
and promoting the Data Quality framework. He/she is responsible, in collaboration
with Business data owners and Project managers, for building Data Quality metrics
and dashboards.
- Is accountable for the design,
implementation and capability evolution of quality dashboards
Develop best practices
and partner with IT and business to promote data quality tools,
controls, and overall quality awareness across the company
Is responsible to suggest data quality KPIs & metrics per domain (or
project)
Is responsible to setup data quality KPIs & metrics and measure them
regularly and automatically.
- Is responsible for defining action
plans to support data quality improvements
Is responsible for roadmap delivery, solution implementation, test and
deployment on data quality projects,
Based on measured data quality KPIs, understands data quality defects, suggests
corrective actions and works actively with IT application owners and
data business owners to execute an agreed action plan,
- Is responsible for documenting and promoting
the data quality framework and processes
Is responsible of
data quality process documentation,
Is responsible for data quality promotion across the company,
Regularly
communicates internally on Data Quality Processes, achievements and
deployment,
- Is accountable for liaison with stakeholders
Ensures constant
contact with data business owners and end-users,
Is responsible for the
liaison and management of all data quality related matters,
Utilises and maintains
internal and/or external networks and relationships to increase Data
Quality framework usage
Key Challenges of the Job
Must be able to balance
between framework development activities and managing operational activities
Power through ambiguity and
conflicting priorities and thrive in a fast-paced, dynamic environment
Ability to work with a
global network across multiple time zones
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