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Manager Data Steward Jobs in Florida (NOW HIRING)

Steward

Ave Maria, FL · On-site

$13.50 - $18.50/hr

... and management. Ability to write and record data and information as required by procedures ... Steward Arthrex Location:

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Manager Data Steward information

How does a manager data steward typically collaborate with other departments to ensure data quality and consistency?

A Manager Data Steward often works closely with IT, business analysts, and compliance teams to establish and enforce data governance policies. They facilitate communication between business units to understand data needs, resolve data conflicts, and ensure that data definitions and standards are consistently applied across the organization. Regular meetings, data quality reviews, and cross-functional workshops are common practices to align stakeholders and maintain high data integrity. This collaboration is essential for supporting accurate reporting, analytics, and regulatory compliance.

What is a manager data steward?

Manager Data Stewards are professionals responsible for overseeing the management, quality, and governance of an organization's data assets. They lead teams of data stewards and work closely with IT, business units, and compliance departments to ensure that data is accurate, secure, and used responsibly. Their role often includes defining data policies, establishing data quality standards, and facilitating data-related training and communication across the organization.

What is the difference between Manager Data Steward vs Data Analyst?

AspectManager Data StewardData Analyst
CredentialsBachelor's degree in IT, Data Management, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Computer Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData governance teams, cross-departmental collaboration, enterprise data managementData reporting, visualization, business insights, often in analytics teams
Employer & Industry UsageUsed in organizations with data governance frameworks, across industriesCommon in business intelligence, finance, marketing, and tech sectors

The Manager Data Steward focuses on overseeing data quality, governance, and compliance within an organization, often managing data stewards and policies. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles require strong data skills, the Manager Data Steward emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and visualization.

What are the key skills and qualifications needed to thrive as a manager data steward, and why are they important?

To thrive as a Manager Data Steward, you need expertise in data governance, data quality management, and a solid understanding of data modeling, typically supported by a degree in information systems, computer science, or a related field. Familiarity with data management tools (such as Collibra or Informatica), metadata repositories, and relevant certifications like DAMA or CDMP is often expected. Strong leadership, problem-solving abilities, and excellent communication skills help drive data stewardship initiatives across diverse teams and stakeholders. These skills and qualities ensure the integrity, accessibility, and strategic use of organizational data, which is essential for effective decision-making.
What are the most commonly searched types of Data Steward jobs in Florida? The most popular types of Data Steward jobs in Florida are:
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What job categories do people searching Manager Data Steward jobs in Florida look for? The top searched job categories for Manager Data Steward jobs in Florida are:
What cities in Florida are hiring for Manager Data Steward jobs? Cities in Florida with the most Manager Data Steward job openings:

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 6 days ago


Job description

: MAX CONFIRMED
Location: ONSITE- Phoenix AZ
Duration: 6 months
Role: Technical Data Steward
Description:
"What you'll do: Serve as the technical data steward responsible for ensuring Employee Enablement Systems data is implemented, governed, and maintained in alignment with business intent and technical standards.
• Act as Technical SME for Data Domains
o Serve as the subject matter expert for source systems and data domains, understanding application and system impacts of data decisions
o Evaluate and communicate downstream system dependencies, constraints, and impacts
• Bridge Business and Technology
o Partner closely with Business Data Stewards and Data Owners to translate business data requirements into compliant technical implementations
o Ensure alignment between business intent and technical execution
• Support Data Governance & Compliance
o Implement and enforce Data Governance policies, standards, and architectural principles across systems
o Ensure governed data is implemented, maintained, and controlled in alignment with enterprise standards
o Support audits, regulatory reviews, and remediation activities
• Drive Data Quality & Defect Resolution
o Identify root causes of data quality issues across systems and integrations
o Partner on defect resolution and provide technical evidence for closure
o Contribute to data quality metrics and reporting
• Manage Critical Data Elements (CDEs)
o Map critical data elements across source and downstream systems
o Ensure correct implementation of CDE attributes and support periodic reviews
• Maintain Metadata, Lineage & Data Catalog
o Ensure accuracy of technical metadata and end-to-end data lineage
o Support remediation of gaps identified through governance reviews or audits
o Enforce data classification, privacy, and security requirements
• Ensure Information Protection and Risk Management
o Partner with security and privacy teams to enforce data protection standards
o Identify and escalate risks related to inappropriate or unintended data usage"
"Minimum Qualifications:
• Bachelor's degree in information technology, Computer Science, or a related field.
• At least 5 years of experience in similar domain
• Strong understanding of data governance frameworks, policies, and lifecycle management
• Experience working with enterprise applications, databases, and system integrations
• Hands-on experience with data quality monitoring, defect triage, and root cause analysis
• Knowledge of metadata management, data lineage, and data catalog concepts
• Familiarity with data privacy, security, and classification policies
• Proven ability to translate business requirements into system-level data implementations
• Strong collaboration skills across business, engineering, and governance teams
• Strong SQL skills, including query optimization, performance tuning, and report development.
Preferred Qualifications
• Experience supporting audit, regulatory, or compliance-driven data initiatives
• Exposure to Critical Data Elements (CDE) governance frameworks
• Experience contributing to data quality metrics, dashboards, and governance reporting
• Familiarity with enterprise data governance platforms and tooling ecosystems
• Prior experience participating in data governance councils or working groups
• Experience within financial services or other regulated industries
Advance Technical Experience (Preferred):
• Experience working with data warehousing and lake house architecture
• Familiarity with cloud platforms (Azure, AWS, GCP) and associated data services
• Experience with data cataloging, lineage automation, or metadata ingestion frameworks
• Knowledge of data observability tools and monitoring frameworks
• Exposure to data masking, tokenization, and sensitive data protection solutions
• Understanding of DevOps/DataOps practices and CI/CD pipelines for data systems
Other Preferred Attributes:
• Analytical mindset: Strong ability to diagnose system and data quality issues across complex environments
• Detail-oriented: High focus on metadata accuracy, lineage integrity, and governance compliance
• Cross-functional influencer: Able to work across engineering, product, risk, and business teams
• Risk-aware: Proactively identifies compliance gaps and escalates appropriately
• Structured communicator: Effectively explains technical concepts to non-technical stakeholders
• Ownership-driven: Demonstrates accountability for stewardship of enterprise data assets
• Process-focused: Brings discipline to governance workflows, defect resolution, and continuous improvement"
Skills: Data Governance
Experience Required: 6-8, Project Code :