Data Quality Project Manager

about the role

Description

The Data Quality team is integrated within the Customer Journey Factory entity, which is responsible for orchestrating, operating, and optimizing communication solutions for our clients, by inter-operating with their network, video, equipment solutions, or by integrating our solutions with market partners. As our services and customer network continue to digitize, data has become a major component of our activities. Data quality has become essential and contributes to improving our performance in various areas: operational, customer satisfaction, and financial.

Mission

As part of our policy to strengthen the quality of the Information System within GDO, we are looking for a "Data Quality" Project Manager. In this role, you will act as an expert and project manager with the objective of verifying the completeness and integrity of data, serving our business and clients.

Responsibilities

• Extract data from different sources.
• Write SQL scripts to perform DDL and DML operations.
• Perform data analysis and identify data issues.
• Communicate with the necessary audience to fix data issues.
• Define and document data correction procedures.
• Ensure consistency of data models and data availability across different tools that are used at Orange Business Services.
• Follow-up on data corrections and ensure integrity of data across systems.
• Maintain scripts and tools developed and provide support to users.
• Contribute to the organization and the animation of the data community.
• Create reports or extractions to provide a status of assets across their lifecycle.
• Reframe the problem with the requester and identify business stakes and impacts in a functional approach when taking on a project.
• Develop and plan the end-to-end data analysis approach in liaison with the business.
• Translate a business problem into an IT problem.
• Synthesize the production process of the service concerned by the issue (Identification of applications).
• Model the data flow in the Information System of the service concerned by the issue (identification of data to be analyzed).
• Facilitate working groups involving Process experts, Business Analysts, IT, and operational staff to analyze and identify the source of the problem and its solution (manual, batch, process modification, IS).
• Define the correction procedure and present its implementation and value to the business.
• Manage the correction and verify its effectiveness with operational or IT teams.
• Analyse data through queries in the Information System (Data Lake or open data).
• Ability to query directly using the querying interfaces of the data repository, on structured or unstructured data repositories (Webix, PowerBI, DSS…).
• Ability to cross different types of data repositories.
• Develop detection and measurement tools (KPIs) if necessary.
• Act as Product Owner on certain assignments.