Manager, Data Quality Reliability
Brightspeed
full-time
Posted on:
Location Type: Remote
Location: North Carolina • United States
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Tech Stack
About the role
- 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.
Requirements
- 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.
Benefits
- Health insurance
- 401K plan with company match
- Paid time off
- Employee assistance program
- Wellness programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data qualitydata managementdata reliabilitySQLdata lifecycle conceptspipeline-based architecturesquality-by-design principlesdata quality checksdata transformationdata ingestion
Soft Skills
analytical skillsproblem-solvingoperational executioncross-functional collaborationcommunication skillsleadershipcoachingteam developmentprocess managementroot cause analysis