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Manager Information Management Jobs in Florida (NOW HIRING)

University of Miami

Manager, IT Security

Miami, FL · On-site

  • Medical

  • Dental

Auditsthe systems and information management processes toidentifyanybreaches. * Establishes and continuously assesses the effectiveness of the internal controls within the unit andcompliance ...

New

University of Miami

Manager, Information Technology

Miami, FL · On-site

$90K - $111K/yr

  • Medical

  • Dental

The Manager, Information Technology analyzes and directs the activities of the IT department and ... Contributes to the formulation of department-wide management and technical policies. * Develops and ...

The University of Miami

Manager, Information Technology

Miami, FL · On-site

$90K - $111K/yr

  • Medical

  • Dental

The Manager, Information Technology analyzes and directs the activities of the IT department and ... Contributes to the formulation of department-wide management and technical policies. * Develops and ...

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All JobsInformation Management JobsManager Information Management JobsManager Information Management Jobs in Florida

Manager Information Management information

See Florida salary details

$25.4K

$60.4K

$102K

How much do manager information management jobs pay per year?

As of Aug 13, 2026, the average yearly pay for manager information management in Florida is $60,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,900.00 and $81,800.00 per year, depending on experience, location, and employer.

What does a Manager Information Management do?

A Manager Information Management oversees the organization’s data and information systems, ensuring data integrity, security, and accessibility. They develop strategies for managing digital and physical information, implement data governance policies, and supervise teams responsible for records management and information technology. Their role often includes coordinating with other departments to support business objectives through effective information management practices. They may also be involved in compliance with legal and regulatory requirements related to data handling.

What are the key skills and qualifications needed to thrive as a Manager Information Management, and why are they important?

To thrive as a Manager Information Management, you need expertise in data governance, information lifecycle management, and a relevant degree such as in information systems or computer science. Familiarity with data management platforms, enterprise content management systems, and certifications like Certified Information Management Professional (CIMP) are highly valued. Strong leadership, problem-solving, and communication skills help manage teams and collaborate across departments effectively. These capabilities are crucial for ensuring data integrity, regulatory compliance, and supporting organizational decision-making.

Are Manager Information Management jobs in high demand?

Manager Information Management roles are in high demand due to the increasing reliance on data-driven decision making and digital transformation across industries. These positions often require strong leadership, knowledge of information systems, and certifications such as ITIL or PMP, making them valuable in organizations seeking to optimize data management and technology strategies.

What are some common challenges faced by a Manager Information Management when overseeing data governance initiatives?

One of the main challenges for a Manager Information Management is ensuring data quality and consistency across multiple departments and legacy systems. Coordinating data governance often requires aligning stakeholders with varying priorities and technical skills, which can be complex. Additionally, adapting information management strategies to comply with evolving data privacy regulations is an ongoing responsibility. Success in this role often depends on strong communication skills, a collaborative approach, and the ability to drive organizational change around data practices.

What is the difference between Manager Information Management vs Data Analyst?

AspectManager Information ManagementData Analyst
CredentialsBachelor's or Master’s in Information Systems, Business Administration, or related fieldsBachelor's or Master’s in Data Science, Statistics, or related fields
Work EnvironmentOversees information systems, manages teams, develops strategiesAnalyzes data sets, creates reports, supports decision-making
Industry UsageUsed in IT, healthcare, finance, and corporate sectorsCommon in finance, marketing, tech, and consulting firms

While both roles involve working with data and information systems, the Manager Information Management focuses on overseeing information strategies and team management, whereas the Data Analyst concentrates on analyzing data to generate insights. The roles often collaborate but serve different functions within organizations.

What cities in Florida are hiring for Manager Information Management jobs?

Cities in Florida with the most Manager Information Management job openings:

Manager Information Management jobs near you
Infographic showing various Manager Information Management job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $60,447 per year, or $29.1 per hour.

Manager, Information Management & Reporting

Aman at Sea

Plantation, FL • On-site

Full-time

Re-posted 15 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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