Critères de l'offre
Métiers :
- Marketing Analyst
Secteur :
- Industries des composants & équipements
Lieux :
- Malvern
Conditions :
- CDI
- Temps Plein
L'entreprise : Saint-Gobain
At Saint-Gobain, our employees have pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, & Collaboration. Our company encourages diversity and inclusion in all its forms while our products make the world a more beautiful, safer, and sustainable home.
Description du poste
We are seeking a skilled and motivated MDM Analyst with hands-on experience in Informatica or Reltio, along with a strong foundation in data quality management. The ideal candidate will play a crucial role in supporting our master data initiatives by ensuring data consistency, accuracy, and governance across systems. This position requires a collaborative mindset, technical expertise, and a passion for enhancing enterprise data assets to generate business value.
Essential Functions:
Technical Implementation & System Management
- Design, implement, and maintain MDM systems and solutions.
- Develop data models and database designs to support business requirements.
- Configure and maintain MDM lifecycle systems (e.g., Informatica or Reltio).
- Ensure scalability, reliability, and security of MDM platforms.
- Integrate AI/ML models to automate entity resolution, match/merge logic, and anomaly detection.
- Collaborate with data science teams to operationalize AI models within MDM workflows.
Data Quality & Governance
- Analyze and troubleshoot data issues to ensure accuracy and completeness.
- Conduct data cleansing to eliminate duplicates and outdated records.
- Define and implement data standards, policies, and procedures.
- Perform regular data audits and resolve inconsistencies.
- Ensure compliance with data privacy and protection regulations.
- Leverage AI tools to monitor data quality trends and predict potential data degradation.
- Use machine learning algorithms to classify and tag data for governance purposes.
Business Collaboration & Stakeholder Engagement
- Work closely with business stakeholders to gather and understand data requirements.
- Coordinate with department heads to identify areas for data quality improvement.
- Provide training and support to end-users on MDM systems and processes.
- Communicate updates and insights clearly across departments and vendors.
- Educate stakeholders on AI-driven enhancements in MDM processes.
- Facilitate workshops on responsible AI use in data management.
Documentation & Reporting
- Prepare detailed reports on data management activities, issues, and resolutions.
- Author and maintain governance documentation and job aides for data stewardship.
- Support audit requirements and compliance reviews (e.g., SOX).
- Document AI model performance, decision logic, and explainability metrics.
- Generate automated reports using AI-powered analytics platforms.
Strategic Alignment & Change Management
- Assist in change management activities related to data processes.
- Collaborate with IT and data teams to optimize data storage and retrieval.
- Support advanced analytics initiatives by enabling clean and structured data.
- Promote MDM value across the organization and contribute to strategic planning.
- Align MDM strategy with enterprise AI initiatives and data monetization goals.
- Evaluate emerging AI technologies for potential integration into MDM platforms.
Description du profil
- Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.
- 3+ years of experience in Master Data Management and Data Quality initiatives.
- Hands-on experience with Informatica MDM or Reltio platforms.
- Hands-on experience with Data Quality Tools, Sifflet, Ataccama, K2View.
- Strong understanding of data governance principles, data modeling, and data integration.
- Proficiency in SQL and familiarity with ETL processes.
- Excellent problem-solving skills and ability to work collaboratively across teams.
Preferred Qualifications
- Experience with cloud-based MDM solutions (AWS, Azure, or GCP).
- Knowledge of API integration and microservices architecture.

