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Enterprise Data Management Jobs in Florida (NOW HIRING)

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

Good skills to manage client relationships and conduct community-of-practice sessions; demonstrated ... Key Responsibilities As an Enterprise Data Analyst, you will: * Become a Data Portfolio Expert:

DTCC

Data Management Associate Director

Tampa, FL · On-site

As a core member of the Data Management Team within Enterprise Data Solutions, an Associate Director will be responsible for driving projects forward, managing key deliverables, and helping to drive ...

Citi

Program Management Senior Lead - Data PMO

Tampa, FL · Hybrid

$109K - $110K/yr

Citi's Data Program Management Office (PMO) team is hiring a Program Management Senior Lead (C14 ... Serve as a subject matter expert on enterprise data governance policies and standards, advising ...

Novocure Inc

Data Architect

Miami, FL · On-site

$61 - $78.50/hr

Define and drive Novocure's enterprise data architecture strategy and roadmap * Design scalable, secure, and governed data solutions across SAP S/4HANA, Veeva CRM, Veeva Vault, MDM, ODS, and other ...

Novocure Inc

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Define and drive Novocure's enterprise data architecture strategy and roadmap * Design scalable, secure, and governed data solutions across SAP S/4HANA, Veeva CRM, Veeva Vault, MDM, ODS, and other ...

Novocure

Data Architect

Winter Park, FL · On-site

$59.75 - $77/hr

Define and drive Novocure's enterprise data architecture strategy and roadmap * Design scalable, secure, and governed data solutions across SAP S/4HANA, Veeva CRM, Veeva Vault, MDM, ODS, and other ...

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Enterprise Data Management information

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How much do enterprise data management jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for enterprise data management in Florida is $53.74, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $61.63 per hour, depending on experience, location, and employer.

What is an enterprise data management?

An Enterprise Data Management (EDM) job focuses on organizing, governing, and optimizing an organization's data to ensure accuracy, security, and accessibility. Professionals in this role develop data policies, implement data quality standards, and manage data governance frameworks. They work closely with IT, business, and compliance teams to integrate data across various systems and improve decision-making. EDM roles are crucial for organizations that rely on data-driven strategies for efficiency and compliance.

What are the typical day-to-day responsibilities of someone working in enterprise data management?

Professionals in Enterprise Data Management are responsible for developing and enforcing data standards, designing and maintaining data systems, and ensuring data quality and compliance across the organization. They often collaborate with business analysts, IT teams, and executive leadership to identify data needs, oversee large data migrations, and manage data governance frameworks. Daily tasks may include data integration, troubleshooting data issues, implementing security protocols, and preparing reports for stakeholders. This role frequently involves a mix of technical work, strategic planning, and cross-functional teamwork, making it both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the enterprise data management position, and why are they important?

To thrive in Enterprise Data Management, you need a strong background in database management, data governance, analytics, and information architecture, often supported by a degree in computer science or information systems. Familiarity with tools like SQL, data warehousing solutions, master data management (MDM) platforms, and certifications such as CDMP (Certified Data Management Professional) are highly valued. Strong project management, problem-solving abilities, and effective communication help professionals collaborate across departments and drive data initiatives. These skills ensure data integrity, regulatory compliance, and the ability to turn data into actionable business insights.

Is enterprise data management in demand?

Enterprise Data Management (EDM) professionals are in high demand as organizations increasingly rely on data for decision-making, compliance, and digital transformation. Skills in data governance, data quality, and tools like SQL, data warehouses, and data governance platforms enhance employability in this field.

What are the most commonly searched types of Enterprise Data Management jobs in Florida?

The most popular types of Enterprise Data Management jobs in Florida are:

What are popular job titles related to Enterprise Data Management jobs in Florida?

For Enterprise Data Management jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Enterprise Data Management jobs in Florida look for?

The top searched job categories for Enterprise Data Management jobs in Florida are:

Enterprise Data Management jobs near you
Infographic showing various Enterprise Data Management job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,785 per year, or $53.7 per hour.

Enterprise Data Manager & Architect

WELLDYNE

Lakeland, FL • On-site

Full-time

Re-posted 17 days ago

WellDyne rating

5.5

Company rating: 5.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

At our company, we move fast, adapt quickly, and turn challenges into opportunities-all while keeping quality at the heart of everything we do. We believe that work should be a positive and respectful place, and that with the right mindset, anything is achievable.
Our Vision:
Fulfill the essential promise of pharmacy care and help people to live to their healthiest, happiest, and fullest potential.
Our Mission:
To be the disruptive force that drives meaningful change within pharmacy services.
Summary
The Enterprise Data Manager & Architect is responsible for defining, governing, and optimizing how WellDyne identifies, structures, secures, and manages data across transactional, operational, and analytical systems. This role focuses on data ownership, including where data resides, how it is sourced, how it flows across systems, and how it is made available for business consumption.
This leader will establish enterprise standards for data architecture, governance, metadata, lineage, access, quality, and stewardship- ensuring WellDyne's data is accurate, trusted, secured, and usable for operational and analytical needs.
Success in this role is measured by clear data sourcing frameworks, mature governance practices, adoption of enterprise data standards, improved data trust, and enabling modern capabilities such as Power BI Copilot, data lakes, and machine learning-enabled insights.
Essential Duties & Responsibilities
Data Strategy & Governance
  • Define and maintain the enterprise data sourcing strategy, documenting where data exists and how it supports transactional and reporting needs.
  • Establish and lead the Data Management Center of Excellence, including governance models, standards, and decision frameworks.
  • Create and enforce enterprise standards for data architecture, modeling, metadata, lineage, quality, MDM, and stewardship.
  • Ensure compliance with regulatory and data security requirements across systems.

Enterprise Data Architecture
  • Define enterprise data architecture and canonical data models across transactional, operational, and analytical systems.
  • Ensure alignment of integrations, data flows, and storage patterns across all platforms (cloud, on-prem, data lakes).
  • Guide modernization initiatives such as database redesigns, platform consolidation, and legacy system decommissioning.
  • Partner with cross-functional teams to ensure data is traceable, secure, well-governed, and accessible.

Data Platforms, Tooling & Frameworks
  • Define strategy and standards for data management platforms including data catalog, lineage, metadata, MDM, quality monitoring, and data lake components.
  • Oversee the creation and ongoing maintenance of a centralized metadata and report catalog to improve visibility and reduce redundancy.
  • Lead adoption of scalable cloud-native data platforms and lakehouse architectures.

Enablement, Insights & Advanced Capabilities
  • Enable business teams to self-serve insights through governed data models and Power BI Copilot/NLQ capabilities, without IT owning the reporting function.
  • Identify practical machine learning applications-such as anomaly detection, forecasting, and natural language insights.
  • Improve enterprise data literacy and promote standardized data usage across WellDyne.

Leadership & Collaboration
  • Mentor BI developers, data engineers, analysts, and other technical contributors.
  • Serve as an enterprise subject-matter expert and escalation point for data architecture and sourcing decisions.
  • Collaborate with IT and business stakeholders to ensure consistency and alignment across teams.
  • Performs additional duties as assigned.

Education & Experience
  • Bachelor's or Master's in Information Systems, Computer Science, Data Analytics, or related field.
  • 8-12 years of progressive experience in data management, architecture, or governance, including 3-5 years in a lead/architect role.
  • Experience establishing or maturing a Data Management COE or governance program.
  • Hands-on experience with data lakes, modern cloud data platforms (AWS/Azure/GCP), SQL, and ETL/ELT.
  • Experience with Power BI Copilot and enabling natural-language data access.
  • Exposure to applied machine learning preferred.
  • Professional certifications preferred (Azure/AWS Data, Power BI, DAMA, TOGAF).

Knowledge, Skills & Abilities
  • Deep expertise in data architecture, modeling, metadata, lineage, and governance frameworks (DAMA/DMBOK, DCAM, TOGAF).
  • Strong understanding of data lakes, semantic modeling, and modern integration patterns.
  • Ability to define enterprise-wide data structures and ensure adoption.
  • Excellent communication and influencing skills across technical and business audiences.
  • Strong leadership, facilitation, and mentorship capabilities.
  • Ability to simplify complex data concepts for business stakeholders.

Success Measures
  • Enterprise data strategy and sourcing framework adopted.
  • Data governance standards consistently implemented across systems.
  • Data architecture modernized and redundant or legacy structures eliminated.
  • Centralized metadata and report catalog operational and used across teams.
  • Improved trust, quality, security, and usability of data.
  • Successful enablement of Power BI Copilot/NLQ for business self-service.
  • Practical machine learning-enabled features (e.g., forecasting, anomaly detection) implemented to support operations.

Work Environment / Physical Demands
This position is in a typical office environment which requires prolonged sitting in front of a computer. Requires hand-eye coordination and manual dexterity sufficient to operate standard office equipment including operation of standard computer and phone equipment. May have occasional high stress when dealing with customers/clients. Some travel may be required.
EOE M/F/D/V - WellDyne and HealthDyne are equal opportunity employer and prohibits discrimination of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, veteran or disability status, or any other protected status under federal, state, or local law.

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