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Data Quality Program Manager Jobs in Louisiana (NOW HIRING)

Black Box Corporation

Quality Specialist

Rayville, LA · On-site

... Quality Management System (QMS) in alignment with corporate program structures and site ... Generate and analyze quality data and metrics to measure performance, assess risk, and support ...

Black Box

Quality Specialist

Rayville, LA · On-site

... Quality Management System (QMS) in alignment with corporate program structures and site ... Generate and analyze quality data and metrics to measure performance, assess risk, and support ...

PVI Holdings

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

Ensure data quality, integrity, and consistency across platforms such as Microsoft Fabric, Power BI ... Ability to manage multiple concurrent projects and priorities in a fast-paced environment * Strong ...

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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?

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.
What cities in Louisiana are hiring for Data Quality Program Manager jobs? Cities in Louisiana with the most Data Quality Program Manager job openings:
Data Quality Program Manager jobs near you
Infographic showing various Data Quality Program Manager job openings in Louisiana as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineering Manager

Bollinger Shipyards

Raceland, LA • On-site

Full-time

Re-posted 23 days ago

Bollinger Shipyards rating

6.9

Company rating: 6.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Job Title: Data Engineering Manager

 Location: Multiple Location

Position Overview: The Data Engineering Manager leads the design, development, and delivery of enterprise data pipelines and foundational data assets supporting analytics, reporting, forecasting, and AI initiatives. This role is responsible for establishing scalable and reliable data engineering practices while ensuring enterprise data is accurate, secure, accessible, and aligned to business priorities.

The role partners closely with Enterprise Architecture, Analytics, Data Science, Infrastructure, and business stakeholders to integrate data from ERP, operational, engineering, and manufacturing systems into the enterprise Azure data platform.

Key Responsibilities:

•             Lead the development and support of enterprise data pipelines and integrations across Oracle ERP, Finesse, MES, PLM, Primavera, proposal systems, and other operational platforms

•             Establish and maintain scalable data engineering standards, frameworks, and development practices

•             Ensure consistent implementation of enterprise data architecture and medallion data design patterns (raw, curated, business-ready)

•             Oversee data ingestion, transformation, orchestration, reconciliation, and validation processes

•             Partner with Enterprise Architecture and Integration teams to align technical solutions with enterprise standards and future-state architecture

•             Support analytics, reporting, forecasting, and AI initiatives through delivery of trusted and performant datasets

•             Ensure data quality, lineage, observability, and reliability across enterprise data assets

•             Manage priorities, sprint planning, delivery timelines, and technical execution for the data engineering team

•             Collaborate with cybersecurity and infrastructure teams to ensure secure and compliant handling of enterprise data

•             Evaluate emerging technologies and recommend improvements to data engineering capabilities and platform performance

•             Mentor and develop technical talent while fostering strong engineering discipline and accountability

 Qualifications:

·        Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or related field

·        8–12 years of experience in data engineering

·        Proven experience delivering enterprise-scale data pipelines

·        Strong SQL and data transformation expertise

·        Experience with cloud data platforms (Azure preferred)

·        Experience integrating ERP and operational systems

 Skills and Abilities:

•             Experience with Azure Synapse, Azure Data Factory, Databricks, Fabric, or similar cloud technologies

•             Experience in manufacturing, shipbuilding, industrial, or engineering-intensive environments

•             Familiarity with Power BI and downstream analytics enablement

•             Experience supporting AI/ML initiatives through engineered datasets and feature pipelines

•             Knowledge of data observability, master data management, and metadata management practices

•             Relevant cloud or data engineering certifications

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

Employment Type: FULL_TIME

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