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About This RoleAI processing…
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Key Responsibilities
- 1Manage and maintain the "Golden Record" for core data domains (Customer and Product), including resolving data conflicts and duplicates.
- 2Manage data hierarchies, relationships, and cross-system mapping.
- 3Oversee the matching and merging process to improve consolidation of data.
- 4Establish, measure and monitor Data Quality KPIs (Accuracy, Completeness, Timeliness, Consistency)
- 5Perform root-cause analysis on data discrepancies and lead remediation efforts.
- 6Design and implement automated data profiling, validation and cleansing processes.
- 7Support the development of data governance standards, policies, and business rules.
- 8Document data lineage, business glossaries, and data dictionaries.
- 9Facilitate data stewardship activities across business units
Requirements
- 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 in English; the ability to explain technical data issues to non-technical stakeholders.
- Familiarity with MDM platforms (Informatica, Reltio, Stibo, etc.)
- Foundation in Data Governance methodologies and foundations
- Experience with Cloud Data Warehouses (Snowflake, BigQuery, or Databricks).
- Knowledge of industry-specific data standards.
Perks & Benefits
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