Data Steward – Data Classification & Privacy
RemoteUnited States
Job Summary
Own and maintain the data inventory across multiple sources, databases, tables, and columns. Classify direct identifiers, quasi-identifiers, sensitive data, and other personal information by profiling unfamiliar datasets to identify hidden patterns. Conduct re-identification and disclosure-risk assessments on datasets while maintaining and updating data classification catalogues as schemas evolve. Document classification decisions, findings, and rationale clearly. Collaborate with data owners, engineering teams, and the Data Protection Officer to investigate data characteristics, identify inconsistencies, and support data governance, privacy, audit, and compliance initiatives. Requires strong SQL skills, statistical understanding, and experience with large datasets.
Required Qualifications
- Strong SQL skills with hands-on experience in data profiling and analysis
- Understanding of data governance, data quality, privacy, compliance, or audit processes
- Strong statistical understanding of cardinality, uniqueness, distributions, and data patterns
- Strong analytical and investigative problem-solving abilities
- Excellent written and verbal English communication skills
- Ability to work effectively with data owners, engineering teams, privacy teams, and other stakeholders
- Strong attention to detail with the ability to document findings and classification decisions clearly
- Experience working with large or complex datasets
- Data Stewardship
- Data Classification
- Data Governance
- Data Privacy
- Data Profiling
- SQL
- Data Quality
- Privacy Risk Assessment
- Disclosure Risk
- Re-identification Risk
- Data Inventory
- PII Identification
- Sensitive Data Identification
- Data Cataloguing
- Data Analysis
- Statistical Analysis
- GDPR
- Audit & Compliance
Desired Qualifications
- Knowledge of k-anonymity and l-diversity
- Understanding of data generalization and suppression techniques
- Familiarity with GDPR and data protection principles
- Python for data analysis and profiling
- Experience with entity recognition / PII detection
- Familiarity with data catalogues and metadata management
- Experience in audit, risk, fraud investigation, or research ethics
- Experience with data privacy and disclosure-risk assessment
- Experience working with UK or international clients
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