Manage incident resolution using ServiceNow to meet SLAs
Dashboard & Reporting Development
Implement and maintain data quality dashboards using Power BI
Create business-friendly visualizations of data quality findings
Develop reports to track quality metrics across all domains (customer, supplier, contact, item)
Build monitoring reports for operational processes and controls
Data Integration & Synchronization
Implement data integrations to synchronize data across systems
Develop ETL processes to support data quality and reconciliation needs
Work hands-on with MDM and related systems to implement quality controls
Ensure data consistency and accuracy across the enterprise data landscape
Stakeholder Collaboration & Requirements Gathering
Participate in requirements gathering sessions with business users
Elicit and document data quality requirements from stakeholders
Present data quality findings in a business-friendly format
Conduct meetings with large audiences independently
Work effectively with business users across multiple regions and time zones
Continuous Improvement
Identify opportunities to enhance data quality processes and controls
Contribute to the evolution of data quality maturity in the organization
Support the long-term data quality roadmap
Stay current with data quality best practices and emerging technologies
Required Qualifications Experience
Minimum 8 - 10 years of total experience in data quality, data development, or related fields
Preferably in an MDM and data governance environment
Proven track record of implementing data quality solutions and controls
Experience working with business stakeholders across multiple regions
Technical Skills
Data Quality Platforms: Hands-on experience with at least one platform such as Informatica, Talend, Alation, or similar tools
SQL: Advanced SQL proficiency for data analysis, profiling, and quality checks
ETL: Strong ETL development skills for data integration and transformation
Data Visualization: Proficiency in creating Power BI reports and dashboards
Data Profiling: Experience with data profiling tools and techniques
System Integration: Understanding of data synchronization and integration patterns
Communication & Collaboration
Excellent verbal and written communication skills
Ability to translate technical concepts into business-friendly language
Experience presenting to diverse audiences including business stakeholders and leadership
Proven ability to conduct meetings with large audiences independently
Strong requirements elicitation and documentation skills
Comfortable working across global teams and time zones
Problem-Solving & Analytical Skills
Strong analytical mindset for identifying root causes of data quality issues
Ability to troubleshoot complex data quality problems
Experience with incident management and resolution processes
Detail-oriented with focus on accuracy and quality
Preferred Qualifications
Multi-Domain MDM Experience: Experience working with customer, supplier, contact, or item master data domains
Manufacturing Industry: Background in manufacturing industry, particularly across multiple countries
ServiceNow: Experience using ServiceNow for incident management and meeting SLAs
Roadmap Planning: Ability to understand long-term roadmaps and contribute to data quality maturity evolution
Certifications: Data quality or data management certifications (e.g., CDMP, vendor-specific certifications)
Additional Tools: Experience with data governance tools, metadata management platforms, or data catalogs
