We are seeking a detail-oriented and conscientious Data Governance and Management Developer to join our Data Governance and Management team. This role is responsible for developing, assessing, monitoring, and improving the quality of critical data across systems and domains. The Data Quality Systems Developer will work closely with cross-functional teams to define and implement data quality standards, identify data issues, and help drive resolution efforts ensuring data is accurate, consistent, and usable across the organization.
This is a key position for supporting product organization-wide data initiatives, ensuring that business decisions are powered by reliable, accurate, and trusted data, as we build out our data governance and management function within the Product organization at Assent. The Data Quality System Developer is a technical role that collaborates closely with partners across the engineering and product organizations, and serves to solve core challenges in our data systems.
Key Requirements & Responsibilities
- Define and implement data quality rules, validation checks, and metrics for critical business domains.
- Develop Data Quality (‘DQ’) monitoring pipelines and alerts that proactively detect data issues.
- Conduct regular data profiling and quality assessments to identify gaps, inconsistencies, duplicates, and other data anomalies.
- Design and maintain data quality dashboards and reports that provide visibility into trends and issues.
- Leverage generative AI to automate workflows, enhance data quality, and support responsible prompt usage.
- Collaborate with data owners, stewards, and technical teams to triage and resolve data quality issues.
- Develop and document standard operating procedures (SOPs) for issue management, escalation, and stewardship workflows.
- Support root cause analysis (RCA) for recurring or high-impact data quality problems.
- Define and monitor key data quality KPIs, and support continuous improvement through insights and retrospective analysis.
- Evaluate and recommend data quality, testing, or observability tools that scale with the enterprise.
- Provide recommendations for improving data processes, governance practices, and quality standards.
- Ensure compliance with internal data governance policies, privacy standards, and audit requirements.
- Be familiar with corporate security policies and follow the guidance set out by processes and procedures of Assent.