Radius is seeking a highly talent Data Quality Lead for my client going through a digital transformation.
Key Responsibilities
- Define and implement data architecture strategies in line with the Customer Journey programme
- Guide the data-driven decision-making process, ensuring that data is effectively utilised to inform business strategies and initiatives.
Develop 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
- Work with the business to 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 team to ensure systems capturing/mastering data are doing so in line with data design
- Ensure data security is implemented and adhered to, particularly of sensitive customer information
- Develop and maintain metrics to assess the impact and success of the data integrity and quality
- Define and develop strategies across different lines of business using data driven analysis, monitoring performance and providing clear recommendations to drive the company forward to help support the company’s ambitious growth aspirations
Required skills
- Experience in developing data models in CRM, CLM and ITSM/Incident Management systems
- Strong knowledge of data governance practices and managing plan to address data quality issues based on priority
- Deep expertise in data modelling and design - conceptual, logical and physical data modelling
- Proven experience and success in data architecture projects
- An ability to build relationships and work at team and operational levels to drive and deliver significant change.
- Experience in the planning, execution and leadership of data processes and controls.
- Experience in creating data models that accurately represent complex business scenarios and support decision-making.
- Proven experience and success in applying analytical and problem-solving skills
- Proficient in using the data tools and platforms, such as data catalogue, data lineage, data dictionary, data quality, data security, and data analytics.
- Experience working with cross-functional teams, and working with business stakeholders to translate business requirements into data architecture designs
- Knowledge of data visualisation/reporting tools
- Understanding of data privacy laws and regulations
- Passionate about data and its value, and curious and creative in finding new ways to use data to solve business problems and create opportunities