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Data Manager Jobs in Miami, FL (NOW HIRING)

Evolution Research Group

Data Entry Coordinator

Miami, FL · On-site

$18 - $22/hr

With CRC and/or manager oversight assist Sponsor or CRO data manager with resolution of queries to ensure clinical data quality. * Study, learn, and comply with ERG standard operating procedures and ...

Evolution Research Group

Data Entry Coordinator

Miami, FL · On-site

$18 - $22/hr

With CRC and/or manager oversight assist Sponsor or CRO data manager with resolution of queries to ensure clinical data quality. * Study, learn, and comply with ERG standard operating procedures and ...

L'Oreal

Manager - Catalogue & Database

Miami, FL · On-site

Head of Customer Care OVERVIEW As the Catalogue & Performance Manager, you are responsible to ensure and coordinate the management of planning activity through the quality of processes and data to ...

FIU Foundation

Data Management I

Miami, FL · On-site

Florida International University is a Top 50, preeminent public research university, and they are seeking a Data Management I to ensure the integrity and accuracy of donor records in the donor ...

LifeWorks, Inc.

Analyst, Data Management

Miami, FL · On-site

$60K - $80K/yr

Here's the impact you'll make We're looking for an Analyst, Data Management who loves working with data and wants to make a real difference in how our clients operate. You'll be the person who keeps ...

Lifeworks

Analyst, Data Management

Miami, FL

$60K - $80K/yr

Here's the impact you'll make We're looking for an Analyst, Data Management who loves working with data and wants to make a real difference in how our clients operate. You'll be the person who keeps ...

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Showing results 21-40

All JobsData JobsData Manager JobsData Manager Jobs in Miami, FL

Data Manager information

See Miami, FL salary details

$29.6K

$92.9K

$164.5K

How much do data manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data manager in Miami, FL is $92,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $120,000.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What are the most commonly searched types of Data jobs in Miami, FL?

The most popular types of Data jobs in Miami, FL are:

What are popular job titles related to Data Manager jobs in Miami, FL?

For Data Manager jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Data Manager jobs in Miami, FL look for?

The top searched job categories for Data Manager jobs in Miami, FL are:

What cities near Miami, FL are hiring for Data Manager jobs?

Cities near Miami, FL with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Miami, FL as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $92,913 per year, or $44.7 per hour.

Manager, Information Management & Reporting

Aman at Sea

Plantation, FL • On-site

Full-time

Re-posted 20 days ago

Job description

Role
The Manager of Information Management and Reporting is responsible for the design, development, and ongoing management of the enterprise data warehouse and business intelligence environment. This role leads all data management and reporting initiatives, works closely with business stakeholders to define master data management and BI requirements, and ensures the data platform delivers reliable, timely, and actionable information. The Manager applies current technologies - including AI-assisted development tools and AI-enhanced analytics capabilities - to improve the quality, performance, and value of data solutions across the organization.
Responsibilities
  • Lead the architecture, development, and optimization of the enterprise data warehouse, including data modeling, ETL/ELT pipeline design, and dimensional schema development.
  • Utilize AI-assisted coding tools (e.g., GitHub Copilot, Cursor) to accelerate pipeline development, generate SQL and Python code, and improve code quality through AI-driven review and testing.
  • Apply AI-powered anomaly detection and automated data quality monitoring to proactively identify and resolve data integrity issues within warehouse pipelines.
  • Manage and optimize cloud data infrastructure including Snowflake, Azure Data Lake, and Azure Data Factory to support scalable, high-performance analytics workloads.
  • Oversee integration middleware (e.g., Boomi) and API-based data ingestion to ensure reliable data flow across enterprise source systems.
  • Direct the design, development, and maintenance of BI dashboards, reports, and self-service analytics solutions that meet business requirements.
  • Leverage AI-enhanced BI features - such as natural language querying, smart narratives, AI-generated summaries, and intelligent alerting - within platforms like Power BI Copilot or Tableau Einstein to improve end-user insight discovery.
  • Use AI-assisted tools to automate routine report generation and accelerate the development of recurring analytics deliverables.
  • Partner with business units to define KPIs, reporting standards, and data visualization best practices.
  • Maintain semantic layers and data models that ensure consistent, trusted metrics across all reporting surfaces.
  • Define and enforce data governance policies covering data quality, lineage, classification, and cataloging across the enterprise data environment.
  • Lead master data management initiatives to establish authoritative data sources and reduce duplication and inconsistency across systems.
  • Utilize data catalog and governance tools (e.g., Microsoft Purview) to document data assets, ownership, and usage, and explore AI-assisted cataloging features to improve metadata coverage.
  • Manage compliance and governance requirements consistent with corporate risk tolerance and applicable data privacy standards.
  • Manage IT services partners and managed service providers in fulfilling SLAs consistent with business needs.
  • Manage application and infrastructure vendors in accordance with contractual SLAs, performance expectations, and technology roadmaps.
  • Evaluate new and emerging data and AI-enabled tooling, conducting proofs of concept to validate productivity and quality improvements before enterprise adoption.
  • Support enterprise architecture design needs based on the selected technology stack and application solutions.
  • Prepare and manage the departmental budget, including scheduling expenditures, analyzing variances, and initiating corrective action.

Requirements
• Bachelor's Degree in Computer Science, Information Systems, Data Science, or a related field required.
• Master's Degree or MBA with a technology focus a plus.
• PPM certification a plus; PMP or Agile/Scrum certification preferred.
• Minimum 10 years of experience managing a technology or data group.
• Demonstrated experience designing and delivering enterprise data warehouse and BI solutions.
• Hands-on experience with cloud data platforms (Snowflake, Azure) and BI tools (Power BI, Tableau, or equivalent).
• Familiarity with AI-assisted development environments and AI-enhanced analytics features within major BI platforms.
• Data & Analytics Platforms:
Snowflake, Azure Data Lake / Data Factory, Azure Synapse Analytics, Power BI, Tableau, or Looker, Microsoft Purview (data catalog/governance), PostgreSQL and relational databases, Boomi / MuleSoft middleware integration
• Engineering, Development & AI Tools:
SQL, Python; dbt and Apache Airflow, AI-assisted development: GitHub Copilot, Cursor, AI-powered BI: Power BI Copilot, Tableau Einstein, Agile / Scrum methodology, Git / DevOps CI/CD pipelines, Microsoft 365 & SharePoint
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