Data Quality Capabilities SME
Data Quality Capabilities SME

Data Quality Capabilities SME

Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
Go Premium
H

At a Glance

  • Tasks: Shape and implement frameworks for enterprise-wide data quality across business domains.
  • Company: Join a leading organisation focused on innovative data solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Make a real impact on data quality and drive organisational change.
  • 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 Β£ 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.
  • Steady-State Assurance
    • 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 employer: Howden

    As a Data Quality Capabilities SME, you will join a forward-thinking organisation that prioritises collaboration and innovation in the heart of the Chief Data Office. Our inclusive work culture fosters professional growth through continuous learning opportunities and strategic involvement in shaping data quality frameworks that have a lasting impact across business domains. With a commitment to integrity and excellence, we offer a dynamic environment where your expertise will be valued and your contributions will drive meaningful change.
    H

    Contact Detail:

    Howden Recruiting Team

    StudySmarter Expert Advice 🀫

    We think this is how you could land Data Quality Capabilities SME

    ✨Tip Number 1

    Network like a pro! Get out there and connect with people in the data quality field. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!

    ✨Tip Number 2

    Show off your expertise! When you get the chance to chat with potential employers, make sure to highlight your experience with frameworks, tools, and processes related to data quality. Share specific examples of how you've made data quality actionable and scalable in past roles.

    ✨Tip Number 3

    Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss metadata models, profiling mechanisms, and how you’ve collaborated with engineering teams. This will show that you’re not just a talker but someone who can walk the walk!

    ✨Tip Number 4

    Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team at StudySmarter!

    We think you need these skills to ace Data Quality Capabilities SME

    Data Quality Framework Design
    Metadata Modelling
    Profiling Mechanisms Development
    Technical Awareness
    Collaboration Skills
    Stakeholder Communication
    Governance and Assurance
    Escalation Management
    Continuous Improvement
    Business Acumen
    Change Management
    Structured Delivery Planning
    Decentralised Ownership Enablement
    Problem-Solving Skills

    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 vision for enterprise-wide data quality!

    Showcase Your Collaboration Skills: Since this role is all about working with various teams, share examples of how you've successfully collaborated in the past. We love seeing candidates who can bridge the gap 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 of the Data Quality Capabilities SME role. We appreciate clarity!

    Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Don’t miss out on this opportunity!

    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 Scenario-Based Questions

    Expect questions that assess your problem-solving skills in complex situations. Think of scenarios where you had to provide third-line support or act as an escalation point for data quality issues. Be ready to discuss how you maintained and evolved frameworks in response to changing business needs.

    ✨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.

    Data Quality Capabilities SME
    Howden
    Go Premium

    Land your dream job quicker with Premium

    You’re marked as a top applicant with our partner companies
    Individual CV and cover letter feedback including tailoring to specific job roles
    Be among the first applications for new jobs with our AI application
    1:1 support and career advice from our career coaches
    Go Premium

    Money-back if you don't land a job in 6-months

    H
    • Data Quality Capabilities SME

      Full-Time
      36000 - 60000 Β£ / year (est.)
    • H

      Howden

      1000+
    Similar positions in other companies
    UK’s top job board for Gen Z
    discover-jobs-cta
    Discover now
    >