Arrow Global Group
Data Quality Lead
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Data Quality Lead (DQL)
Department: IT & Change
Location: Manchester, UK
Description
We are seeking a highly skilled and experienced Data Quality Lead (DQL) to fill a foundational role in a newly formed data-focused group. This role will work closely with the business and Data Stewards to define what ‘good’ data looks like.
The DQL will partner with Data Engineering to implement frameworks ensuring data quality aligns with business standards. This is a key position that will drive a continuous improvement process, building trust and confidence in our data.
About The Role
- Establish domain-specific data quality rules and dimension thresholds (accuracy, completeness, consistency, validity, timeliness) for core Asset Management datasets spanning Real Estate, Lending & Credit.
- Define and establish metrics to assess data quality performance, driving continuous improvement.
- Partner with Data Engineering to design:
- Automated checks
- Dashboards
- Alerts for pipelines, data products, and key reports
- Proactively lead root-cause analysis of data incidents, coordinating fixes with source platforms.
- Use trend analysis to prioritize remediation, reducing chronic/recurring defects and improving overall data reliability and trust.
- Maintain expertise in data quality industry trends and strategically implement advanced methodologies to elevate data quality practices.
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About You
Qualifications & Experience
- Degree in Computer Science, Information Systems, Data Science, or a related field.
- Demonstrated experience in a Data Governance or Data Management program.
- Proven experience leading data quality, data governance, or data controls in a data-rich environment (e.g., financial services, credit, real estate, asset management).
- Familiarity with financial data domains (IBOR/ABOR, transactions, market data, reference data).
- Experience working with business stakeholders to:
- Define critical data elements
- Establish data definitions
- Set "fit-for-use" requirements
- Knowledge of data quality tooling and modern orchestration/observability practices.
- Adaptable and resourceful, willing to build processes from scratch in a newly formed team.
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Key Skills
- Strong analytical, verbal, and written communication skills.
- Ability to collaborate across business and technology.
- Motivated self-starter with problem-solving initiatives.
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