Data Architect and Governance lead (London)

Radius is seeking a highly talented Data Architect and Governance lead for my client going through a digital transformation.

• 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 utilized to inform business strategies and initiatives
• Develop a data plan to address data quality issues in line with To-Be Processes
• Drive the adoption of data best practices by facilitating the 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 designs 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 across the business and adherence to regulations (e.g., GDPR)
• Collaborate with IT to ensure systems capturing/mastering data align with data design
• Ensure data security is implemented and adhered to, especially for sensitive customer information
• Develop and maintain metrics to assess the impact and success of data integrity and quality
• Define and develop strategies across different lines of business using data-driven analysis, monitoring performance, and providing clear recommendations to support the company's growth