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Data Quality Program Manager Jobs in Florida (NOW HIRING)

RiseIT Solutions

Data Quality Engineer

Orlando, FL

$120K/yr

The position plays a pivotal role in the definition of our data quality program, which includes policy, process, standards, and tools. The role demands an ability to understand the data semantics ...

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Data Quality Program Manager information

What does a Data Quality Program Manager do?

A Data Quality Program Manager is responsible for overseeing initiatives that ensure the accuracy, consistency, and reliability of an organization's data. They develop and implement data quality strategies, set standards, and work closely with various teams to monitor and improve data processes. Their role involves identifying data issues, establishing metrics, and leading projects to enhance data governance. By doing so, they help organizations make better, data-driven decisions and comply with regulatory requirements.

What is the difference between Data Quality Program Manager vs Data Analyst?

AspectData Quality Program ManagerData Analyst
Required CredentialsBachelor's in Data Management, certifications like CDMP or DAMABachelor's in Statistics, Data Science, or related field
Work EnvironmentOversees data quality initiatives across teams, manages data governanceAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in organizations focusing on data integrity and complianceCommon in analytics, business intelligence, and reporting roles

The Data Quality Program Manager focuses on establishing and maintaining data quality standards and governance, while the Data Analyst primarily analyzes data to generate insights. Both roles require strong data skills, but the Program Manager has a broader oversight responsibility for data quality initiatives.

How does a Data Quality Program Manager typically collaborate with cross-functional teams to ensure data standards are met?

A Data Quality Program Manager works closely with cross-functional teams such as data engineering, analytics, business operations, and IT to define, implement, and monitor data quality standards. They often facilitate workshops or meetings to gather requirements, align on data definitions, and resolve discrepancies or issues. Effective communication and coordination are essential, as the manager must ensure all stakeholders understand and adhere to agreed-upon data governance processes. Regular reporting and feedback loops help maintain high data quality and enable quick resolution of any issues that arise.

What are the key skills and qualifications needed to thrive as a Data Quality Program Manager, and why are they important?

To thrive as a Data Quality Program Manager, you need expertise in data management, analytics, and governance, often supported by a degree in information systems or a related field. Familiarity with data quality tools (such as Informatica or Talend), experience with SQL databases, and knowledge of data privacy regulations are typically required. Strong leadership, communication, and problem-solving skills help drive cross-functional initiatives and ensure stakeholder alignment. These competencies are crucial for implementing effective data quality strategies that support organizational decision-making and regulatory compliance.
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Data Quality Program Manager jobs near you
Data Quality Engineer

Data Quality Engineer

RiseIT Solutions

Orlando, FL

$120K/yr

Full-time

Posted 18 days ago

Job description

Title: Data Quality Engineer
Location: Orlando, FL (100% onsite)
Type: Direct Hire Position
Rate: $120K per year + 8% annual bonus + full benefits + full relocation
Education: Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)
The responsibilities of the IT Engineer will provide technical expertise in developing and maintaining a data quality framework. This role will participate in the full data quality lifecycle from requirement elicitation through ongoing support. The candidate selected for this role will create technical design specifications from business/functional requirements or from logged data incidents. The position plays a pivotal role in the definition of our data quality program, which includes policy, process, standards, and tools. The role demands an ability to understand the data semantics, business use and relationships.
REQUIRED TECHNICAL SKILLS:
  • Strong understanding of data structures, data types, and data transformation.
  • Familiarity with industry data patterns, normalizations rules and data performance tuning.
  • Ability to perform complex data mappings, workflows and sessions.
  • Strong relational database skills and an understanding of columnar data structure.
  • Extensive experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx.
  • Advanced expertise in reading, analyzing and debugging SQL.
  • Ability to troubleshoot data processing performance issue.
  • Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ.
  • Experience or willingness to learn SparkSQL and Databricks.
  • Highly developed analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively analyze result set and triage quality issues.
  • Work with all levels of development from analysis through implementation and support.
  • Expertise in working with spreadsheets, strong understanding of financial concepts and data.
  • Ability to work independently, take ownership of tasks and follow through to implementation/resolution.
  • Resolve end user data problems through collaboration with both technical and functional personnel in a team environment.
  • Demonstrated competency in designing, developing and testing complex rule sets.
  • Demonstrated competency in accurately identifying the scope of work and preparing thorough, accurate and estimates.
  • Exceptional verbal and written communications skills, with an ability to express complex technical concepts in business terms.
  • Solid teamwork and interpersonal skills.
  • Strong analytical, problemsolving and conceptual skills.
REQUIRED EDUCATION:
Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)
OTHER KEY QUALIFICATIONS:
  • Data modeling Experience
  • Exposure to Cloud Infrastructure
  • Experience with Cloud Data Warehouse products such as Snowflake or Azure Synapse
  • Experience with data integration patterns, data pipelines and tools such as Azure Data Factory
  • Experience using reporting tools like Power BI for Data quality visualizations
  • Knowledge of Data and Delta Lake Structures
  • Experience with Python, Scala or Java
  • Knowledge of restaurant or retail business
SKILLS AND EXPERIENCE:
  • 7+ years’ experience across Business Intelligence/Data Warehouse/Data Lake projects
  • 2+ years’ experience on Data Quality and Governance initiatives, with at least one successful implementation
  • Experience programming in SQL with ability to develop complex queries against large disparate data sets

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