Data Governance Specialist leading the design of high-quality data foundations for AI solutions. Working within enterprise transformation programmes for leading Telecommunications and Financial Services organizations.
Responsibilities
Lead data discovery and identify all data sources required to support AI use cases
Define Critical Data Elements (CDEs) and associated metadata, ensuring clear semantic meaning and relationships
Establish data quality rules and contribute AI-specific requirements into data contracts (e.g. fields, latency, refresh rates)
Define AI data requirements including accuracy, completeness, timeliness, and availability
Specify requirements for feature stores, including reusable features, transformation logic, and update frequency
Document end-to-end data lineage to ensure traceability and trust in AI outputs
Define data lifecycle and retention policies aligned to cost, performance, and compliance needs
Identify and classify sensitive data, ensuring compliance with GDPR and other regulatory obligations
Provide input into AI data readiness assessments in collaboration with Data Governance stakeholders
Requirements
5+ years experience in data governance, data management, or data architecture
Strong understanding of data governance frameworks (e.g., DAMA-DMBOK)
Experience defining data quality rules, metadata, and lineage
Familiarity with AI/ML data requirements, including feature engineering and model inputs
Strong SQL skills with experience working on cloud-based data platforms such as BigQuery (or equivalent)
Experience with data contracts and modern data platforms
Knowledge of data privacy regulations (GDPR)
Strong stakeholder management and communication skills
Benefits
Professional development opportunities
Flexible working hours
Opportunity to work with leading Telecommunications and Financial Services organizations
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