Mid Level Data Quality Manager Jobs
Mid level data quality manager jobs go to professionals ready to own data quality initiatives end to end, mentor junior analysts, and shape data governance decisions with limited oversight. Hiring runs across Technology & Software, Fintech, and Healthcare & Medical Services, with 13% of openings remote or hybrid, and employers like Affinity Solutions, TikTok, and Turner & Townsend Pty Limited competing for data quality managers at this level now.
Find JobsOverview
Showing 5 of 13+ Mid Level Data Quality Manager jobs
INTRODUCTION
For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking an experienced MDM Data Quality Analyst to support Master Data Management services for the Health and Human Services Innovation Incubator (HHSi2) project. This role will focus on data quality analysis, data profiling, business and technical requirements, testing, validation, and data governance activities supporting a unified cross-agency client/member view across State programs.
The selected candidate will work under the guidance of the MDM Technical Lead to perform data analysis, data quality assessments, testing, requirements gathering, user acceptance testing (UAT) support, SQL analysis, and validation activities to ensure reliable and accurate MDM operations.
KEY RESPONSIBILITIES
- Developing and maintaining complex SQL queries to support MDM solutions.
- Supporting SQL analysis, data validation, and data analysis reporting activities for MDM solutions.
- Collaborate with project teams supporting database objects such as tables, stored procedures, and views for MDM.
- Performing script execution, maintaining, developing, and modifying existing programs to meet system and design specifications.
- Participating in unit, integration, and system testing.
- Performing data profiling and quality review and analysis.
- Improving the delivery and management of health and human services programs by utilizing data analytics and quality reviews.
- Gathering business requirements and preparing analyses based on information from internal and external sources to evaluate and demonstrate effectiveness and efficiency supporting projects and change requests.
- Participating in project discussions to document and recommend alternative technical solutions or requirements.
- Perform data quality assessments and document findings, recommendations, and remediation opportunities.
- Analyze data anomalies, matching issues, and client/member record quality concerns.
- Support data governance and data stewardship activities.
- Assist users during User Acceptance Testing (UAT) and production validation.
REQUIRED QUALIFICATIONS
- 5+ years of experience in data analysis, data quality, MDM, business analysis, data governance, and data management.
- Experience working with MDM platforms such as Informatica MDM.
- Experience gathering and documenting business and technical requirements.
- Experience in performing data profiling, data validation, testing, reconciliation, and data quality analysis.
- Experience supporting QA, UAT, or system testing activities.
- SQL experience, with large MDM and large relational DBMS.
- Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
- Strong analytical, problem-solving, and data validation skills.
- Experience supporting MDM operations, issue resolution, testing activities, and SDLC delivery.
- Bachelor’s degree in computer science, Data Analytics, Information Systems, Engineering, or equivalent experience.
PREFERRED QUALIFICATIONS
- Experience working in other MDM tools including Cloud-native MDM solutions.
- Experience working in State Government, public sector, or regulated environments.
- Experience with Agile/Scrum Sprint development and iterative/incremental delivery.
- Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
- Exposure to Python scripting for automation, testing, data validation, or profiling activities.
- Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
- Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, Data Lake, or comparable technologies is a plus.
- Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
- Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality is a plus.
- Ability to operate in a telecommute environment and matrix organization with minimal direction.
INTRODUCTION
For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking an experienced MDM Data Quality Analyst to support Master Data Management services for the Health and Human Services Innovation Incubator (HHSi2) project. This role will focus on data quality analysis, data profiling, business and technical requirements, testing, validation, and data governance activities supporting a unified cross-agency client/member view across State programs.
The selected candidate will work under the guidance of the MDM Technical Lead to perform data analysis, data quality assessments, testing, requirements gathering, user acceptance testing (UAT) support, SQL analysis, and validation activities to ensure reliable and accurate MDM operations.
KEY RESPONSIBILITIES
- Developing and maintaining complex SQL queries to support MDM solutions.
- Supporting SQL analysis, data validation, and data analysis reporting activities for MDM solutions.
- Collaborate with project teams supporting database objects such as tables, stored procedures, and views for MDM.
- Performing script execution, maintaining, developing, and modifying existing programs to meet system and design specifications.
- Participating in unit, integration, and system testing.
- Performing data profiling and quality review and analysis.
- Improving the delivery and management of health and human services programs by utilizing data analytics and quality reviews.
- Gathering business requirements and preparing analyses based on information from internal and external sources to evaluate and demonstrate effectiveness and efficiency supporting projects and change requests.
- Participating in project discussions to document and recommend alternative technical solutions or requirements.
- Perform data quality assessments and document findings, recommendations, and remediation opportunities.
- Analyze data anomalies, matching issues, and client/member record quality concerns.
- Support data governance and data stewardship activities.
- Assist users during User Acceptance Testing (UAT) and production validation.
REQUIRED QUALIFICATIONS
- 5+ years of experience in data analysis, data quality, MDM, business analysis, data governance, and data management.
- Experience working with MDM platforms such as Informatica MDM.
- Experience gathering and documenting business and technical requirements.
- Experience in performing data profiling, data validation, testing, reconciliation, and data quality analysis.
- Experience supporting QA, UAT, or system testing activities.
- SQL experience, with large MDM and large relational DBMS.
- Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
- Strong analytical, problem-solving, and data validation skills.
- Experience supporting MDM operations, issue resolution, testing activities, and SDLC delivery.
- Bachelor’s degree in computer science, Data Analytics, Information Systems, Engineering, or equivalent experience.
PREFERRED QUALIFICATIONS
- Experience working in other MDM tools including Cloud-native MDM solutions.
- Experience working in State Government, public sector, or regulated environments.
- Experience with Agile/Scrum Sprint development and iterative/incremental delivery.
- Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
- Exposure to Python scripting for automation, testing, data validation, or profiling activities.
- Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
- Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, Data Lake, or comparable technologies is a plus.
- Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
- Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality is a plus.
- Ability to operate in a telecommute environment and matrix organization with minimal direction.
See All 13 Mid Level Data Quality Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Data Quality Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Fintech
- Healthcare & Medical Services
- Consulting & Professional Services
- Agriculture & Farming
Mid Level Data Quality Manager Jobs: Frequently Asked Questions
How do I get a mid level data quality manager job?
Position yourself by highlighting ownership, not just participation. Emphasize projects where you led data quality frameworks, resolved root-cause issues, or improved data pipelines without heavy supervision. Concrete outcomes matter most: reduced error rates, faster data delivery, or improved compliance scores. Tailor your resume to show cross-functional collaboration and decision-making, not just task execution.
Which companies hire mid level data quality managers?
Companies hiring mid level data quality managers right now include Affinity Solutions, TikTok, and Turner & Townsend Pty Limited, based on current listings on Migrate Mate as of November 2026. Mid level roles are most common at mid-size and enterprise organizations where data quality programs are mature enough to need dedicated ownership below the senior or director level.
Are there remote mid level data quality manager jobs?
Yes, remote and hybrid options are widely available at this level. About 13% of mid level data quality manager openings are remote or hybrid as of November 2026, reflecting how data-focused roles translate well to distributed work. On-site roles tend to cluster in heavily regulated industries where data handling requires closer in-person oversight.
How do I move up to a mid level data quality manager role?
Moving from entry level to mid level takes deliberate skill-building over time. Focus on deepening your understanding of data governance frameworks, mastering SQL and data profiling tools, and volunteering to own quality checks on larger datasets. Demonstrating measurable impact, such as catching upstream data issues or reducing rework, signals readiness for mid level ownership and broader project scope.
Which industries hire the most mid level data quality managers?
Mid Level data quality manager roles concentrate in Technology & Software, Fintech, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors generate high data volumes and face compliance or accuracy requirements that make dedicated mid level data quality management a consistent hiring priority rather than a role that gets absorbed into broader data engineering teams.