The Role
The Data Quality Lead will define data quality rules, partner with Data Engineering for automated checks, and lead data quality improvement initiatives.
Summary Generated by Built In
We are seeking a highly skilled and experienced Data Quality Lead (DQL) to fill a foundational role in a newly formed group concentrating on Data. This role will work closely with the business and Data Stewards to define what ‘good’ data looks like. The DQL also partners with Data Engineering to implement frameworks that ensure data quality aligns to business standards. Ultimately, this is a key position that will drive a continuous improvement process that builds 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 and drive continuous improvement.
- Partner with Data Engineering to design automated checks, dashboards, and alerts for pipelines, data products, and key reports.
- Proactively lead root-cause analysis of data incidents. Coordinate fixes with source platforms.
- Use trend analysis to prioritize remediation, reduce chronic/recurring defects, and improve overall data reliability and trust.
- Maintain expertise in data quality industry trends and strategically implement advanced methodologies to elevate data quality practices.
About you
- 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 (financial services, credit, real estate, asset management, or similar).
- A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
- Experience working with business stakeholders to define critical data elements, data definitions, and “fit for use” requirements.
- Familiarity with data quality tooling and modern orchestration/observability practices.
- Comfortable building processes from scratch in a newly formed team.
- Resourceful, motivated self-starter with the ability to collaborate across business and technology
- Strong analytical, verbal, and written communication skills
About
Great talent comes in many forms, and we’re committed to building a diverse and inclusive team. Whilst a number of our roles do require specific qualifications and experience, and industry knowledge, we also value potential, unique perspectives, and transferable skills. If you’re excited about this opportunity but don’t meet every requirement, we’d still love to hear from you. We occasionally collaborate with recruitment agencies to fill niche or specialist roles. However, we do not accept agency terms or pay fees for speculative CVs submitted directly to our hiring managers or outside our Applicant Tracking System. If you are a recruitment agency interested in partnering with us for candidate supply, please reach out to [email protected]
Skills Required
- Degree in Computer Science, Information Systems, Data Science, or a related field
- Demonstrated experience in Data Governance or Data Management program
- Proven experience leading data quality in a data rich environment
- Familiarity with data quality tooling and modern orchestration/observability practices
- Strong analytical, verbal, and written communication skills
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The Company
What We Do
Arrow Global is a leading European vertically integrated alternative asset manager specializing in private credit and real estate. Founded in 2005, it acquires and manages loan and real estate portfolios, delivering risk-adjusted returns for global investors.
