Manager, Data Quality Assurance

🕒 October 1

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 12%

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Step Up For Students

WebsiteLinkedInAll Job Openings

201 - 500 employees

📚 Education

🤲 Charity

Education • Charity

Step Up For Students is a Florida-based non-profit organization that administers education scholarship programs and related services to empower families to access personalized K–12 learning options. It manages multiple scholarship programs (e. g. , Florida Tax Credit Scholarship, Family Empowerment/PEP, Hope Scholarship, Reading Scholarship, New Worlds Scholarship), supports students with unique abilities, funds private school tuition, tutoring, therapy, transportation stipends, and partners with schools and providers. The organization also operates NextSteps, a news and commentary platform about education choice, solicits donations (including Florida tax-credit donations and other giving vehicles), publishes research and reports, and provides resources and portals for parents, schools, and providers. Step Up reports having funded 1M+ scholarships, uses 98. 9% of funds for scholarships, and has operated for 20+ years.

📋 Description

• Translate business-defined data quality rules into technical implementations using SQL validations, profiling rules, scorecards, and pipeline controls • Implement data validation, cleansing, and standardization across enterprise data domains • Partner with functional teams to implement and monitor data quality controls across master data domains • Execute enterprise data quality frameworks, including rule standardization, threshold management, and alignment to critical data elements • Perform data profiling and validation, including completeness checks, duplicate analysis, pattern validation, referential integrity checks, and anomaly detection • Configure and support Informatica CDGC capabilities, including dataset onboarding, metadata ingestion, catalog enrichment, governed asset management, and business glossary mapping • Develop and maintain data quality rule mappings, scorecards, dashboards, and data health visibility • Support CDE classification, governed data asset onboarding, and data product registration within CDGC and the data marketplace • Support and validate technical and business data lineage for traceability and impact analysis • Perform root cause analysis on data quality errors, validate fixes through regression testing, and recommend upstream process improvements • Collaborate with data stewards, governance leads, data engineers, application teams, and business stakeholders • Apply core values emphasizing that everyone is an asset and every event is an improvement opportunity

🎯 Requirements

• Minimum of 8 years of related experience with a Bachelor's degree in Computer Science, Information Systems, Data Engineering, Statistics, or a related field; or 6 years of related experience with a Master's degree; or 3 years of related experience with a PhD; or an equivalent combination of education and experience • Hands-on experience in data quality, metadata management, master data management, data engineering, or governance-focused technical roles • Strong hands-on experience with Informatica CDGC, including metadata curation, dataset onboarding, catalog management, data quality rule mapping, and data quality visibility • Hands-on experience with Purview, Alation, Collibra, CluedIn, or similar data quality solutions • Strong working knowledge of customer, supplier, and finance master data domains across ERP environments • Solid experience with Python or R for automation • Familiarity with ETL tools, data profiling software, or cloud data warehouses such as Azure Data Stack, Microsoft Fabric, or Azure Databricks • Experience with business glossaries, CDEs, data lineage, and governed metadata management • Strong SQL skills and experience querying databases, developing or supporting ETL, IDMC, and SQL-based data pipelines • Experience with data profiling, data validation, issue investigation, root cause analysis, regression testing, and remediation tracking • Strong analytical, problem-solving, and stakeholder collaboration skills • Experience translating complex technical data errors into actionable insights for nontechnical stakeholders • Preferred: experience with enterprise master data management initiatives • Preferred: experience building or supporting data quality scorecards and dashboards using Power BI or similar platforms • Preferred: experience with cloud data platforms such as SILK, Azure Data Stack, Microsoft Fabric, or Azure Databricks • Preferred: familiarity with MDM concepts including match/merge, survivorship, validation rules, and reference data management • Preferred: experience supporting data product enablement, self-service analytics, or data marketplace initiatives • Preferred: basic scripting experience using Python, Spark, or related technologies • Must be able to lift up to fifteen (15) pounds

🏖️ Benefits

• Remote or virtual job • Typical office environment • Use of office machines including telephone, computer, and printer

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