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Data Architect and Governance lead / Head of Data

ZipRecruiter
London
4 days ago
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Radius is seeking a highly talented Data Architect and Governance lead for my client going through a digital transformation.

Team Leadership

  • Data Strategy
  • Define and lead enterprise-wide data strategy
  • Design and maintain a scalable, secure data architecture
  • Deep understanding of Data Governance
  • Modern data platforms: Cloud Data Quality Management, metadata, lineage, and data modelling
  • Experience with Data integration, master data management (MDM), and designing scalable data pipelines
  • Data Privacy, regulatory compliance, and security best practices
  • BI Tools: Power BI, Tableau, Looker
  • Proficient in data modelling, SQL, and cloud platforms - Azure, AWS, GCP and their Data services

Key Responsibilities

  • Define and implement data architecture strategies in line with the Customer Journey programme
  • Guide the data-driven decision-making process, ensuring data is effectively utilised to inform business strategies and initiatives
  • Develop data plans to address data quality issues in line with To-Be Processes
  • Drive the adoption of data best practices by facilitating sharing of tools, techniques, and methodologies
  • Collaborate with data owners and IT to generate insights and apply them to business challenges
  • Work with the business to identify data owners to drive data integrity and quality
  • Work with stakeholders across the business to understand data requirements and ensure this is captured in future data models
  • Design, build, and maintain data models
  • Create detailed design documentation for data architecture, including data flow artifacts and data dictionaries
  • Define and help drive best practices for data design, capture, and storage
  • Ensure high data quality standards are set and maintained, with adherence to regulations (e.g., GDPR)
  • Collaborate with IT to ensure data capturing/mastering systems align with data design
  • Ensure data security, especially for sensitive customer information
  • Develop and maintain metrics to assess data integrity and quality impact
  • Define and develop strategies across business lines using data-driven analysis, monitor performance, and provide recommendations to support company growth


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