1

Data Migration Project Manager Jobs in Florida (NOW HIRING)

Data Architect

Tallahassee, FL · On-site

$55.25 - $71/hr

Assess data migration and conversion strategies, including source-to-target mappings ... Work with technical teams, project leadership, business stakeholders, and oversight organizations ...

... data migration, performance tuning of SQLs and data sync up across data bases Should have worked in large data migration projects (at least 500 GB 1 TB) preferably from MySQL to Oracle Should have ...

Lead Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

RIT Solutions, Inc. is seeking a Lead Data Engineer to work on data engineering projects with a focus on healthcare data standards. The role involves managing data migration, ETL processes, and ...

Onboarding Project Manager

Estero, FL · On-site

$95 - $140/hr

You'll get into the data -- building migration files, checking balances -- working alongside our ... Solid project management fundamentals -- scope, dependencies, critical path, risk tracking, change ...

New

Onboarding Project Manager

Estero, FL · On-site

$90 - $130/hr

You'll get into the data -- building migration files, checking balances -- working alongside our ... Solid project management fundamentals -- scope, dependencies, critical path, risk tracking, change ...

New

You'll get into the data - building migration files, checking balances - working alongside our ... Solid project management fundamentals - scope, dependencies, critical path, risk tracking, change ...

Showing results 41-60

Data Migration Project Manager information

See Florida salary details

$12

$42

$59

How much do data migration project manager jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data migration project manager in Florida is $42.98, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $50.29 per hour, depending on experience, location, and employer.

What is a data migration project manager?

A Data Migration Project Manager is a professional responsible for overseeing and coordinating the transfer of data from one system or storage location to another. They plan, manage, and execute data migration projects, ensuring data integrity, minimizing downtime, and meeting business objectives. This role involves collaborating with IT teams, stakeholders, and vendors to ensure a smooth and secure migration process. Data Migration Project Managers also address risks, troubleshoot issues, and communicate project status to all involved parties.

What are some common challenges faced by data migration project managers during large-scale migration projects?

Data Migration Project Managers often encounter challenges such as managing data integrity during transfers, aligning diverse stakeholder expectations, and handling unexpected legacy system issues. Coordinating cross-functional teams to ensure seamless communication and timely execution is also a frequent hurdle. Additionally, balancing the need for minimal business disruption while maintaining project timelines can require proactive risk management and adaptable problem-solving skills.

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

To thrive as a Data Migration Project Manager, you need a solid background in project management, data analysis, and IT systems, often supported by a relevant degree and certifications like PMP or PRINCE2. Familiarity with data migration tools (such as Informatica, Talend, or Microsoft Data Migration Assistant), databases, and enterprise resource planning (ERP) systems is typically required. Strong soft skills include problem-solving, stakeholder communication, and leadership to effectively coordinate teams and manage risks. These skills ensure data is migrated accurately and efficiently, minimizing business disruption and safeguarding data integrity during complex transitions.

What is the difference between Data Migration Project Manager vs Data Analyst?

AspectData Migration Project ManagerData Analyst
Primary RoleOversees data migration projects, manages teams, ensures data integrity during transferAnalyzes data to identify trends, creates reports, supports decision-making
Required SkillsProject management, data management, communication, technical understanding of migration toolsData analysis, SQL, visualization, statistical skills
Work EnvironmentIT projects, cross-functional teams, client interactionsData-focused departments, business intelligence teams
CertificationsPMP, data management certifications often preferredData analysis certifications like CAP, Microsoft Certified Data Analyst

The Data Migration Project Manager primarily oversees the planning and execution of data transfer projects, ensuring smooth migration and data integrity. In contrast, a Data Analyst focuses on interpreting data, creating insights, and supporting business decisions. While both roles require technical skills, the project manager emphasizes coordination and management, whereas the analyst emphasizes data interpretation and reporting.

What are popular job titles related to Data Migration Project Manager jobs in Florida?

For Data Migration Project Manager jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Migration Project Manager jobs in Florida look for?

The top searched job categories for Data Migration Project Manager jobs in Florida are:

What cities in Florida are hiring for Data Migration Project Manager jobs?

Cities in Florida with the most Data Migration Project Manager job openings:

Infographic showing various Data Migration Project Manager job openings in Florida as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $89,389 per year, or $43 per hour.

Director of Data Center

Imagine Staffing Technology

Saint Petersburg, FL • Remote

$170K - $200K/yr

Full-time

Re-posted 25 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.