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Remote Data Manager Jobs in Florida (NOW HIRING)

UAB

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

Tampa, FL · On-site +1

$126K - $205K/yr

We are seeking a data science manager to assist us with developing and managing a large repository ... NO OPTION FOR HYBRID OR REMOTE. Doctorate degree in a related field and seven (7) years of related ...

UAB

CLINICAL RESEARCH REGULATORY COORDINATOR III

Tampa, FL · Remote

$55K - $89K/yr

... and Data Manager to complete monitoring and auditing to provide quality assurance of trial data ... This position is fully remote General Responsibilities * To prepare and submit multiple levels of ...

Ascension

340B Data Analyst

Gulf Breeze, FL · Remote

$72K/yr

Remote Facility: Remote Department: 340B Admin Support Schedule: Day | Full-time Salary range: $72 ... Employee Assistance Program, counseling and peer support, spiritual care and stress management ...

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Remote Data Manager information

See Florida salary details

$21.5K

$82.2K

$144.5K

How much do remote data manager jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote data manager in Florida is $82,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $105,900.00 per year, depending on experience, location, and employer.

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

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

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

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What is a Remote Data Manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

What are some typical challenges faced by Remote Data Managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.
What are popular job titles related to Remote Data Manager jobs in Florida? For Remote Data Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Manager jobs in Florida look for? The top searched job categories for Remote Data Manager jobs in Florida are:
What cities in Florida are hiring for Remote Data Manager jobs? Cities in Florida with the most Remote Data Manager job openings:
Remote Data Manager jobs near you
Director of Data Center

Director of Data Center

Imagine Staffing Technology

Saint Petersburg, FL • Remote

$170K - $200K/yr

Full-time

Posted 5 days ago

Job description

Job Title: Director of Data Strategy and Services
Location: St. Petersburg, FL
Hire Type: Direct Hire
Pay Range: $170,000 - $200,000
Work Type: Full-time
Work Model: Remote
Work Schedule: Monday – Friday, 8am – 5pm
Recruiter Contact: Sean Pebbles | 716.256.1259 | spebbles@imaginegroup.com
Nature & Scope:
Positional Overview
The Imagine Group is recruiting for a Director of Data Strategy and Services on behalf of our client, a leading provider of cloud-based software solutions that empower nonprofit organizations, associations, educational institutions, and mission-driven businesses to streamline operations and strengthen community engagement in St. Petersburg, FL. Through innovative technology and a customer-focused approach, the organization helps clients manage fundraising, membership, events, and financial processes while driving meaningful impact.
In this role you will be responsible for leading the strategic direction, daily operations, and performance of data center infrastructure to ensure the availability, security, and reliability of critical business systems. You will oversee capacity planning, disaster recovery, vendor relationships, and infrastructure projects while partnering with cross-functional teams to optimize operational efficiency, maintain compliance, and support long-term technology initiatives.
Role & Responsibility:
Tasks That Will Lead to Your Success
  • Enterprise Data Architecture & Strategy
  • Architecture Ownership: Own, evolve, and scale the enterprise data architecture supporting all product verticals.
  • Operational Standards: Establish standards, best practices, and repeatable patterns for data ingestion, transformation, and consumption.
  • Roadmap Alignment: Align data strategy directly with internal product roadmaps, engineering timelines, and advanced client analytics needs.
  • Planning & Design: * Define data migration scopes, constraints, historical requirements, and success criteria.
  • Design data mapping, transformation, enrichment, validation, and rollback protocols.
  • Partner with stakeholders to establish testing cycles, cutover plans, and client approvals.
  • Execution & Delivery: Oversee extraction, transformation, and loading (ETL) into test, UAT, and production environments.
  • Lead iterative migration cycles, resolve technical anomalies, and manage post-migration hypercare/remediation.
  • Deliver comprehensive migration completion documentation and client sign-offs.
  • Data Readiness: Assess source data usability; cleanse, normalize, and de-duplicate data sets to make them analytics-ready.
  • Custom Analytics & BI: Translate complex business objectives into custom dashboards, defining metrics, visualizations, filters, and refresh cadences.
  • Strategy Consulting: Advise clients on data collection methodologies (timing, frequency, automation) and practical data governance/stewardship operating frameworks.
  • Help define, manage, and mature the delivery workflows and quality standards associated with the Company’s AI Analytics subscription service offerings.
  • Prescriptive Analytics: Operationalize benchmarking frameworks and peer-group analysis, translating data into executive-ready insights for priority customer segments.
  • Service Commercialization: Track measurable client outcomes to develop case studies; partner with Product, Marketing, and Sales to support go-to-market and thought-leadership activities.
  • Integration Roadmap: Scope, prioritize, and support deal-driven integrations with third-party platforms to enhance workflow analytics.
  • Agentic Capabilities: Contribute to the creation, refinement, and client-facing alignment of agentic roles and AI-enabled capabilities.
  • Org Design: Build out the core Data Strategy & Services operating models, documentation standards, and prioritization frameworks.
  • Legacy Continuity: Maintain high-level Project Manager/Customer Engagement continuity for designated legacy accounts (requirements definition, risk management, internal coordination) during the initial transition framework.
  • Lead the creation and execution of cross-functional and cross-product data best practices.
  • Create and maintain Data COE Playbooks: Recommended operating models, prioritization frameworks, and service definitions for the scaled Data Strategy organization.
  • Create and maintain Technical Checklists: Robust service packages, data migration roadmaps, governance documentation, and architectural mapping guides.
  • Revenue in alignment with commercial targets.
  • Team billable utilization equal to or greater than goal.
  • Client NPS scores equal to or greater than goals.
Skills & Experience
Qualifications That Will Help You Thrive
  • Professional Experience: 7+ years of progressive leadership experience in Data Architecture, Enterprise Analytics, Business Intelligence, or Data Strategy.
  • Migration Domain Expertise: Demonstrated success in structuring and executing complex enterprise data migrations and third-party software integrations.
  • Consulting Background: Previous client-facing professional services or premium data consulting experience is highly preferred.
  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Administration, or an equivalent technical field.
  • Data management or governance certifications (e.g., DAMACDMP).
  • Core Competencies
  • Advanced Technology Literacy: Strategic understanding of BI tools, ETL architectures, cloud compliance, and modern agentic AI applications.
  • Cross-Functional Influence: Proven ability to partner dynamically across Product, Engineering, Sales, and Customer Success silos to operationalize data products and services.
  • Executive Communication: Exceptional communication, stakeholder management, and narrative-building skills capable of translating complex analytics into clear business actions.