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Remote Ready Refresh Jobs in Riverview, FL (NOW HIRING)

... Remote *** This position is contingent upon contract award *** What You'll Do: In this role, you'll ... Lead system integration, testing, deployment, technology refresh, and modernization initiatives ...

Remote Ready Refresh information

See Riverview, FL salary details

$8

$27

$106

How much do remote ready refresh jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote ready refresh in Riverview, FL is $27.68, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $23.17 per hour, depending on experience, location, and employer.

What is the difference between Remote Ready Refresh vs Remote Customer Service Representative?

AspectRemote Ready RefreshRemote Customer Service Representative
Required CredentialsBasic computer skills, training providedHigh school diploma, customer service experience often preferred
Work EnvironmentRemote, flexible schedulingRemote, customer interaction-focused
Industry UsageTraining programs, workforce developmentCustomer support across various industries

Remote Ready Refresh prepares individuals with essential skills for remote work, often through training programs. Remote Customer Service Representatives handle customer inquiries remotely, requiring some experience but often less formal training. While both roles are remote, Remote Ready Refresh focuses on skill development, whereas Remote Customer Service Representatives focus on customer interaction.

What are popular job titles related to Remote Ready Refresh jobs in Riverview, FL?

For Remote Ready Refresh jobs in Riverview, FL, the most frequently searched job titles are:

What job categories do people searching Remote Ready Refresh jobs in Riverview, FL look for?

The top searched job categories for Remote Ready Refresh jobs in Riverview, FL are:

What cities near Riverview, FL are hiring for Remote Ready Refresh jobs?

Cities near Riverview, FL with the most Remote Ready Refresh job openings:

Director of Data Center

Imagine Staffing Technology

Saint Petersburg, FL • Remote

$170K - $200K/yr

Full-time

Re-posted 24 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.