At a Glance
- Tasks: Lead data quality initiatives and collaborate with teams to enhance data integrity.
- Company: Join Howden, a global insurance group with a strong employee ownership culture.
- Benefits: Enjoy flexible working hours, career progression, and a supportive work environment.
- Why this job: Make a real impact on data quality and drive change in a dynamic team.
- Qualifications: Experience in data management and strong collaboration skills required.
- Other info: Embrace a diverse culture where your unique contributions are valued.
The predicted salary is between 43200 - 72000 £ per year.
Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 23,000 employees spanning over 56 countries.
People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.
About The Role
The Data Quality Lead role is central to building the foundations for enterprise-wide federated Data Quality. Reporting directly to the Data Quality Manager, you will work closely with the Global Head of Data Quality and other senior leaders within the Chief Data Office (CDO) team 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 both 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 data quality team is distinct from the BAU team, which owns day-to-day management and resolution of DQ issues. The data quality 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 both robust and implementable within modern data environments.
Core Responsibilities for all Staff
- Achieve Results through Relationships with All Parties: Deliver a personal performance that contributes towards Group and/or Company achieving their objectives. Achieve lasting relationships with all parties (internal clients, suppliers, third parties and other staff).
- Delivery of Service: Consistently deliver an excellent and comprehensive service, on-time, within budget and to, or exceeding quality expectations.
- Conduct and Integrity: Ensure all dealings are carried out with integrity and professionalism. Act in utmost good faith, in accordance with Group and/or Company policies and never risk the Company’s or the Group’s reputation.
Reporting
- Monitor and report on Business Units’ issues.
- Provide relevant management information to senior management.
- Any other reasonable duties, as required.
A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:
- Our successes have all come from someone brave enough to try something new.
- We support each other in the small everyday moments and the bigger challenges.
- We are determined to make a positive difference at work and beyond.
Reasonable adjustments
We’re committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours or hybrid working. If you’re excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.
Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.
Data Quality Lead employer: London Insurance Life
Contact Detail:
London Insurance Life Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Lead
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company culture and values. At Howden, they value collaboration and innovation, so be ready to share how you embody those traits.
✨Tip Number 3
Practice your pitch! You want to clearly communicate your experience and how it aligns with the Data Quality Lead role. Keep it concise and impactful.
✨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 joining the team.
We think you need these skills to ace Data Quality Lead
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Quality Lead role. Highlight your experience with data quality frameworks and your ability to collaborate across teams, as these are key aspects of the job.
Showcase Your Technical Skills: Don’t forget to mention any technical skills or tools you’ve used that relate to data quality. Whether it’s metadata models or profiling mechanisms, we want to see how you can bring those skills to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to see your achievements and how they align with the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at London Insurance Life
✨Know Your Data Quality Fundamentals
Before the interview, brush up on key data quality concepts and frameworks. Understand how they apply to the role of a Data Quality Lead and be ready to discuss how you can translate high-level strategies into actionable plans.
✨Showcase Your Collaboration Skills
This role requires strong collaboration with various teams. Prepare examples of past experiences where you've successfully worked with engineering, governance, or business teams to implement data quality standards. Highlight your ability to bridge gaps between technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in ambiguous situations. Think of scenarios where you've had to create structured solutions for complex data quality issues. Be ready to explain your thought process and the impact of your decisions.
✨Communicate Clearly and Effectively
Since documentation and communication are key responsibilities, practice articulating your ideas clearly. Be prepared to discuss how you maintain records of designs and decisions, and how you ensure all stakeholders are kept in the loop throughout projects.