Lead the implementation and ongoing operation of data quality and reliability frameworks across data ingestion, transformation, and curated data layers.
Establish and manage processes for data quality issue intake, triage, root cause analysis, remediation coordination, and closure.
Define and operationalize technical data quality checks, thresholds, and monitoring standards in partnership with data and platform engineering teams.
Partner with Platform Engineering to leverage observability signals related to data freshness, volume, schema changes, and pipeline health.
Oversee and optimize the use of data quality, governance, and observability tools (e.g., Dataplex, Datafold, Atlan, or similar platforms).
Ensure data quality and reliability practices are embedded by design into pipelines, integrations, and transformation workflows.
Collaborate with BI & Analytics teams to ensure dashboards, reports, and metrics are built on reliable and trusted data foundations.
Serve as the primary IT execution owner for data quality, aligned with business-led data governance and stewardship models.
Track, measure, and report improvements in data quality, reliability, and issue resolution effectiveness.
Lead, coach, and develop team members supporting data quality and reliability initiatives.

Bachelor’s degree in Information Systems, Computer Science, Data Management, or a related field.
Minimum of 10 years of professional experience in data, analytics, or technology-related functions.
At least 5 years of experience focused on data quality, data management, or data reliability within enterprise data platforms.
Strong understanding of data lifecycle concepts, pipeline-based architectures, and quality-by-design principles.
Hands-on experience implementing and operating data quality and observability tooling in production environments.
Proficiency in SQL, with the ability to trace, validate, and diagnose data issues across complex systems.
Strong analytical, problem-solving, and operational execution skills.
Proven ability to lead cross-functional collaboration and communicate technical data issues in clear business terms.
Experience managing and developing technical team members.

Manager, Data Quality Reliability

Key skills