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- Tasks: Shape and implement frameworks for enterprise-wide data quality across business domains.
- Company: Join a forward-thinking organisation focused on data excellence and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on how data quality is operationalised at scale.
- Qualifications: Strong collaboration skills and a blend of business and technical knowledge.
- Other info: Dynamic role with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
The Data Quality Capabilities SME role is central to building the foundations for enterprise-wide federated Data Quality. Reporting directly to the Data Quality Capabilities Lead, you will work closely with the Global Head of Data Quality and other senior leaders within the Chief Data Office (CDO) to design and embed the frameworks, tools, and processes that make data quality actionable and scalable. You will act as a strategic delegate for the Group Data Quality vision, providing third-line support and expert guidance to the BAU team.
In the initial phase, you will support organisational change by shaping capabilities that enable federated ownership of data quality across business domains. This includes developing rulebooks, metadata models, profiling mechanisms, and other reusable components that align with strategic objectives and technical realities. The role requires strong collaboration with engineering and business teams to ensure frameworks are robust and practically adopted.
Once this transformation is complete, the role will evolve into a second-line assurance function, providing oversight and governance to ensure federated teams apply data quality standards consistently. You will maintain and enhance the core frameworks, act as an escalation point for complex issues, and safeguard the integrity of the organisation's data quality ecosystem.
This is a highly collaborative role, requiring engagement with engineering, governance, and business teams to ensure alignment and adoption. It is ideal for someone who thrives on bringing clarity to ambiguity, enjoys creating structured solutions, and wants to leave a lasting impact on how data quality is operationalised at scale.
The SME team is distinct from the BAU team, which owns day-to-day management and resolution of DQ issues. The SME team's focus is on strategic enablement, framework design, and third-line escalation, not on building a parallel BAU or engineering function.
Role Responsibilities
- Capability Building & Change Enablement
- Translate Strategy into Action: In conjunction with our change teams, convert high-level data quality concepts into structured delivery plans, frameworks, and reusable components.
- Design & Implement Capabilities: Develop rulebooks, metadata models, profiling mechanisms, and other tools that make data quality measurable and actionable. Leverage technical awareness to ensure frameworks and standards are compatible with modern data platforms and can be effectively implemented by engineering teams.
- Enable Federated Adoption: Shape foundational capabilities that allow decentralised ownership of data quality across business domains, providing subject matter expertise to bridge business requirements and technical implementation.
- Collaborate Across Functions: Work closely with the Data Quality Capabilities Lead, Global Head of Data Quality, and other CDO leaders, as well as engineering, governance, and business teams.
- Document & Communicate: Maintain clear records of designs, decisions, and progress; communicate effectively with stakeholders at all levels.
- Third-Line Support & Assurance: Provide governance and assurance that federated teams apply data quality standards consistently, acting as a point of escalation and guidance for complex or cross-functional issues, and supporting the BAU team as third-line experts.
- Maintain & Evolve Frameworks: Keep rulebooks, metadata models, and tooling up to date with business and technology changes.
- Escalation Point: Act as a subject matter expert for complex data quality issues, drawing on both business context and technical understanding of data quality tools, rule engines, and platform integration.
- Continuous Improvement: Identify opportunities to enhance processes and capabilities based on feedback and performance metrics.
The ideal candidate will possess a blend of business acumen and technical awareness, enabling them to translate strategic objectives into frameworks that are robust and implementable within modern data environments.
Reporting
- Monitor and report on Business Units' issues.
- Provide relevant management information to senior management.
- Any other reasonable duties, as required.
Data Quality Capabilities SME in London employer: Howden
Contact Detail:
Howden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Capabilities SME in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data quality. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your expertise. Talk about your experience with frameworks, tools, and processes that enhance data quality. Let them see how you can make an impact!
✨Ask Smart Questions
During interviews or networking chats, ask insightful questions about their data quality challenges and initiatives. This shows you're genuinely interested and helps you understand how you can contribute to their goals.
✨Apply Through Our Website
Don’t forget to apply for the Data Quality Capabilities SME role through our website! It’s the best way to ensure your application gets the attention it deserves and puts you one step closer to landing that dream job.
We think you need these skills to ace Data Quality Capabilities SME in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data quality frameworks and collaboration. We want to see how your skills align with our mission at StudySmarter!
Showcase Your Collaboration Skills: Since this role is all about working with different teams, share examples of how you've successfully collaborated in the past. We love seeing candidates who can bridge gaps between technical and business needs.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your achievements and how they relate to the responsibilities outlined in the job description. We appreciate clarity!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the Data Quality Capabilities SME role.
How to prepare for a job interview at Howden
✨Know Your Data Quality Frameworks
Before the interview, make sure you’re well-versed in the frameworks and tools related to data quality. Familiarise yourself with rulebooks, metadata models, and profiling mechanisms. This will not only show your technical awareness but also demonstrate your ability to translate strategic objectives into actionable plans.
✨Showcase Your Collaboration Skills
This role requires strong collaboration with various teams. Prepare examples of how you've successfully worked with engineering, governance, or business teams in the past. Highlight your ability to bridge business requirements with technical implementation, as this is crucial for enabling federated ownership of data quality.
✨Prepare for Complex Problem-Solving
Expect questions that assess your ability to handle complex data quality issues. Think of scenarios where you acted as a point of escalation or provided third-line support. Be ready to discuss how you maintained data quality standards and what strategies you used to ensure consistency across teams.
✨Communicate Clearly and Effectively
Effective communication is key in this role. Practice articulating your thoughts clearly, especially when discussing technical concepts. Be prepared to explain your designs, decisions, and progress in a way that stakeholders at all levels can understand. This will showcase your ability to document and communicate effectively.
