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Data Manager Jobs in Brandon, FL (NOW HIRING)

Pwc

Data Strategy-Manager

Tampa, FL

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

IQVIA

Senior Data Team Lead (Remote)

Tampa, FL · Remote

$86K - $217K/yr

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

IQVIA

Senior Data Team Lead (Remote)

Tampa, FL · Remote

$86K - $217K/yr

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

Pwc

Data Governance- Manager

Tampa, FL

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Milliman

Strategic Data Partnership Manager

Tampa, FL · Remote

We're hiring a Strategic Data Partnership Manager to help drive that growth on both sides of the equation: the partners who supply our data and the customers who build on it. This role will be ...

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All JobsData JobsData Manager JobsData Manager Jobs in Brandon, FL

Data Manager information

See Brandon, FL salary details

$26.9K

$84.4K

$149.5K

How much do data manager jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data manager in Brandon, FL is $84,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $109,000.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
What are the most commonly searched types of Data jobs in Brandon, FL? The most popular types of Data jobs in Brandon, FL are:
What job categories do people searching Data Manager jobs in Brandon, FL look for? The top searched job categories for Data Manager jobs in Brandon, FL are:
What cities near Brandon, FL are hiring for Data Manager jobs? Cities near Brandon, FL with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Brandon, FL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,411 per year, or $40.6 per hour.

Enterprise Data Manager & Architect

WELLDYNE

Lakeland, FL • On-site

Full-time

Re-posted 20 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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