Director of Data Center

Job Description

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 | View phone number on us.fitly.work | View email address on us.fitly.work

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.