IT Analyst – MDM AnalystSaint-Gobain

MalvernCDI
Il y a 8 joursCandidature facile

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  • Conduct data cleansing to eliminate duplicates and outdated records.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.

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