Data Quality Expert
4 weeks ago
About the Role:
Data is one of Beazley's greatest assets. As Data Quality Lead, you will be the in-house expert, highly skilled at ensuring our data is well managed, fit for purpose, and delivering maximum value.
You will partner with the business and work with data owners and other stakeholders to embed best practice within the organization.
Develop Data Quality products and services that help establish a culture of 'Data Value' and work with the Head of Data Value Management to mature data literacy and capability as Beazley undertakes a significant investment in modernisation.
Key Responsibilities:
- Lead the Data Quality function in line with the Data Quality Framework.
- Act as an ambassador to the business for data best practice and Data Quality.
- Provide leadership and direction to Data Quality and Data Quality Governance across the organisation.
- Identify valuable and cost-effective ways to maximise the insight and value Beazley gets from our data.
- Lead a team of Data Quality Analysts to deliver high-quality analysis and service.
- Act as the key representative and business interface from the data team to support Data Quality activities and Beazley's strategic initiatives.
- Support the Data Governance Group, ensuring data governance and quality issues are addressed and prioritised accordingly.
- Advise the wider business on Data Quality best practices.
- Develop relationships with senior management and staff throughout Beazley, and ensure there is an open and constructive dialogue regarding business needs, wants and issues at all levels.
- Work in collaboration with all platforms and departments to maximise alignment and reuse and avoid conflicts and duplication of work.
- Support and develop the Data Quality team, processes and tools to achieve Beazley's data strategy / objectives.
- Ensure we deliver enhanced outcomes via central capability, and effective implementation of products and services across the business.
- Implement effective Data Quality frameworks that enhance capability and maturity across Beazley, and ensure appropriate, accurate and up-to-date information is integrated into our systems at the point of need.
- Manage specialist analyst resources and work with multiple business domains to implement the data governance policy.
- Ensure the successful implementation and adoption of Data Quality processes and tools by partnering effectively with data owners and stewards.
- Set enterprise-wide Data Quality standards for internal and external data.
- Dynamically use the latest trends in Data Quality to drive positive cultural change in people, process, and technology.
- Devise and monitor appropriate value indicators that measure Beazley's Data Quality performance globally and regionally.
- Prepare and present materials for the relevant committees to enable transparent prioritisation of Data Quality delivery.
- Build and maintain good working relationships across the Data team and other key stakeholders across Beazley to achieve shared goals.
- Drive the required level of ownership from data owners and data stewards across the group to ensure data is of the required quality.
- Ensure that any Data Quality risk register controls are operating effectively, continuously improved, periodically reviewed and signed off within specified timeframes.
- Provide thought leadership and subject matter expertise on Data Quality, simplifying the art and making it accessible to Beazley employees.
- Work closely with business stakeholders to stay close to opportunities and provide guidance on factors that could impact data management.
Personal Specification:
We're looking for candidates with experience of coordinating and implementing Data Quality strategies within Financial Services.
This candidate will need to demonstrate an effective delivery skillset and collaborate confidently with all levels of the organisation, creating good and successful networks.
We are looking for someone who can innovate, with the ability to encourage performance and motivate peers and the wider organisation to embrace data and modernisation.
The successful candidate should have a passion for data and a curious mindset both for Beazley and the wider insurance industry.
Great communication skills will be required across all levels of seniority and the ability to represent the Data Value Management team internally and externally.
Skills and Abilities:
- A deep understanding of both data management and Data Quality policies and best practices, including industry trends.
- Strong experience in enforcing best practice.
- Able to combine rigour and discipline with a pragmatic approach to deliver the highest quality, cost-effective solutions within set time-frames.
- Navigating and supporting the business to successfully adopt Data Quality standards.
- Driving delivery of value through Data Quality implementation during the journey of modernisation and change initiatives.
- Management and communication skills with both business and technical partners.
- Problem-solving skills.
- Collaborative team player with an orientation towards work relationships.
- Strong cultural awareness.
- Ability to extract information by questioning, listening and interviewing.
- Results-oriented.
- Keen eye for detail with a genuine interest in understanding the journey data travels along.
- Analytical with strong numeracy and good statistical skills.
- Ability to manage and coach technical and non-technical staff.
- Comfortable presenting complex data flows and relationships to non-data peers and colleagues.
- Ability to identify and help the business to assess options and solutions that best fit requirements.
- Ability to manage time, meet deadlines and prioritise.
- Stakeholder management and ability to communicate concisely at a number of levels.
Knowledge and Experience:
- Experience of working in Data Quality role.
- Experience of working within the Financial Services industry.
- Detailed knowledge of business and technology issues related to data management.
- Clear knowledge and experience relating to the application of Data Quality principles to support and drive data strategy.
- Established Data Quality processes and engaged teams (direct and matrix), to lead and implement enterprise-wide Data Quality and demonstrable improvements in Data Quality.
- Experience using automation to manage and support data governance and quality.
- Experienced at using the relevant statutory frameworks such as the GDPR and other data privacy regulations to drive Data Quality and Data Quality governance.
- Proven experience of developing and implementing a Data Quality Framework.
- Working knowledge of lean, continuous improvement and Agile ways of working.
Education and Qualifications:
Degree level educated - any discipline.
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