MDM Data Specialist (L2)

See yourself at Twilio

Join the team as Twilio's next MDM Data Specialist (L2)

About the job

We are looking for a detail-oriented Data Steward to own the integrity of our enterprise data. In this role, you will be the frontline defender of Data Quality, implementing rigorous monitoring and remediation processes to eliminate silos. You will manage the lifecycle of our master data, ensuring compliance with Data Governance policies while working directly with technical teams to optimize our MDM hubs. If you have a passion for precision and thrive on organizing complex information, you'll fit right in.

Responsibilities

• Manage and maintain the "Golden Record" for core data domains (Customer and Product), including resolving data conflicts and duplicates.
• Manage data hierarchies, relationships, and cross-system mapping.
• Oversee the matching and merging process to improve consolidation of data.
• Establish, measure and monitor Data Quality KPIs (Accuracy, Completeness, Timeliness, Consistency)
• Perform root-cause analysis on data discrepancies and lead remediation efforts.
• Design and implement automated data profiling, validation and cleansing processes.
• Support the development of data governance standards, policies, and business rules.
• Document data lineage, business glossaries, and data dictionaries.
• Facilitate data stewardship activities across business units

Qualifications

Required:

• 3-5 years of experience in data management, data stewardship, or related roles.
• Strong SQL skills for data profiling and analysis.
• Strong understanding of Master Data Management concepts and best practices
• Experience with data quality tools and methodologies
• Familiarity with data visualization tools to report on data quality metrics.
• Proficient understanding of data lifecycle management and data modeling concepts.
• Excellent communication skills; the ability to explain technical data issues to non-technical stakeholders.

Desired:

• Familiarity with MDM platforms (Informatica, Reltio, Stibo, etc.)
• Foundation in Data Governance methodologies and foundations
• Experience with Cloud Data Warehouses (Snowflake, BigQuery, or Databricks).