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For Companies At a Glance
- Tasks: Lead data quality initiatives and implement strategies for effective data architecture.
- Company: Join Radius, a forward-thinking company driving digital transformation for clients.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team making impactful data-driven decisions in a collaborative environment.
- Qualifications: Experience in data modelling, governance, and strong analytical skills required.
- Other info: This is a mid-senior level contract role in the tech and information services industry.
The predicted salary is between 43200 - 72000 £ per year.
Radius is seeking a highly talented 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 utilized 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.
Seniority Level: Mid-Senior level
Employment Type: Contract
Job Function: Analyst, Consulting, and Information Technology
Industries: Information Services, Technology, Information and Media, and Telecommunications
Data Quality Lead employer: Radius
Contact Detail:
Radius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Lead
✨Tip Number 1
Familiarise yourself with the latest data governance practices and tools. Being well-versed in these areas will not only help you stand out but also demonstrate your commitment to maintaining high data quality standards.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who have experience in CRM, CLM, and ITSM systems. Engaging with industry peers can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've successfully addressed data quality issues in past roles. This will highlight your analytical abilities and your proactive approach to data management.
✨Tip Number 4
Stay updated on data privacy laws and regulations, particularly GDPR. Understanding these legal frameworks will be crucial in ensuring compliance and demonstrating your expertise in data security.
We think you need these skills to ace Data Quality Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data modelling, governance practices, and architecture projects. Use specific examples that demonstrate your ability to drive data quality and integrity.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and its value. Discuss how your skills align with the responsibilities outlined in the job description, particularly your experience with data-driven decision-making and collaboration with stakeholders.
Showcase Relevant Skills: Emphasise your proficiency in data tools and platforms, as well as your understanding of data privacy laws. Mention any experience you have with data visualisation and reporting tools, as these are crucial for the role.
Highlight Problem-Solving Abilities: Provide examples of how you've successfully applied analytical and problem-solving skills in previous roles. This will demonstrate your capability to tackle complex business scenarios and contribute to the company's growth aspirations.
How to prepare for a job interview at Radius
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience in developing data models, particularly in CRM, CLM, and ITSM systems. Bring examples of complex business scenarios you've tackled and how your models supported decision-making.
✨Demonstrate Knowledge of Data Governance
Highlight your understanding of data governance practices and how you've managed plans to address data quality issues. Be ready to explain how you ensure compliance with regulations like GDPR.
✨Emphasise Collaboration Skills
Since the role involves working with cross-functional teams, share examples of how you've built relationships with stakeholders. Discuss how you translated business requirements into effective data architecture designs.
✨Prepare for Problem-Solving Scenarios
Expect to be asked about analytical challenges you've faced. Prepare to discuss specific instances where your problem-solving skills led to successful outcomes in data architecture projects.
