Data Operations Manager Jobs in Florida
Data Operations Manager jobs in Florida are in steady demand, concentrated in financial services, healthcare, logistics, and technology sectors, with openings at every level from junior data operations analyst through senior manager and director. The busiest hiring metros are Miami, Tampa, and Orlando, where established employers such as Fidelity Investments, AdventHealth, and Ryder System maintain large operations teams. The most sought-after specialties in Florida listings are data pipeline management, CRM operations, and enterprise data governance. Find a role that fits below and apply directly.
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Showing 5 of 23+ Data Operations Manager jobs
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object_3_postedDate
Tampa
FL
United States
Full-time
We are seeking a highly experienced Data Operations Technical Lead to support DOW, responsible for delivering the foundational data infrastructure that transforms enterprise data into a strategic asset and enables advanced analytics and AI across warfighting functions.
The ideal candidate will lead enterprise data operations within a highly secure, distributed, multi-cloud environment, ensuring scalable, reliable, and mission-ready data capabilities that support real-time decision-making in complex operational settings.
This role is onsite in Tampa, FL and requires an active TS/SCI security clearance.
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS082, T4, Band 7
Job-Specific Essential Duties and Responsibilities:
Enterprise Data Operations Leadership
- Serve as the Data Operations Technical Lead (Hub) supporting enterprise development and digital transformation initiatives.
- Lead delivery of data management, governance, and engineering capabilities across program components.
- Coordinate with Program Manager, Data Science Technical Lead, and Government stakeholders to align data strategy with mission priorities.
- Design, build, and maintain scalable, resilient data pipelines and platforms across hybrid and multi-cloud environments.
- Enable ingestion, integration, and processing of large-scale structured and unstructured data.
- Ensure data availability across NIPRNet, SIPRNet, and other security enclaves, including DIL (Disconnected/Intermittent/Low-bandwidth) environments.
- Implement Extract, Transform, and Load processes and automated pipelines for batch and real-time analytics.
- Develop and implement enterprise data management frameworks aligned to program policies and Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable (VAULTIS) principles.
- Establish processes for data quality, lineage, metadata, and ownership across decentralized data domains.
- Treat data as a product, supporting domain ownership and data product lifecycle management.
- Enable secure data sharing solutions for interoperability across program and partner organizations.
- Operate within information environment leveraging:
- Cloud + on-prem infrastructure
- Technologies such as Kubernetes, Docker, Spark, Kafka, Snowflake, Redshift
- Support integration with analytics, artificial intelligence (AI)/Machine Learning (ML), and ML operations platforms.
- Enable Continuous Integration/Continuous Delivery (CI/CD) and DevSecOps practices for data systems.
- Translate operational requirements into data engineering solutions supporting warfighter decision-making.
- Support near real-time analytics capabilities for operational environments.
- Ensure systems are optimized for mission-critical reliability, performance, and security compliance.
- Ensure all data operations comply with DoD, and cybersecurity policies.
- Support Risk Management Framework (RMF), ATO processes, and continuous monitoring.
- Maintain a proactive security posture aligned with enterprise AI and data initiatives.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical discipline
- 8+ years of experience managing digital/data projects supporting DoD Enterprise customers
- An active TS/SCI clearance is required.
- Must be located in one of the following areas: Tampa, FL, Fayetteville, NC, San Diego, CA, VA Beach, VA, Pensacola, FL OR Lejeune, NC.
- Proven experience leading data operations, engineering, or platform teams in Federal/DoD environments
- Data pipelines (ETL/ELT), data lakes/warehouses
- Distributed processing (Spark/Kafka or equivalent)
- Cloud platforms (AWS, Azure, or GovCloud environments)
- SQL, Python, or similar programming languages
- Master’s degree in a technical or analytics-related field
- Specialized certifications: Cloud (AWS, Azure), Data Engineering, DevSecOps /Agile
- Familiarity with the following:
- Data-as-a-product models and domain architectures
- AI/ML data pipelines and MLOps
- DevSecOps and CI/CD pipelines
- Experience operating in multi-classification environments (NIPR/SIPR/JWICS).
- Experience supporting OCONUS operations or global mission partners.
TCS082, T4, Band 7
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at applicantaccom@maximus.com .
Minimum Salary
$ 160,000.00
Maximum Salary
$ 185,000.00
variableNameAlias
object_3_postedDate
Tampa
FL
United States
Full-time
We are seeking a highly experienced Data Operations Technical Lead to support DOW, responsible for delivering the foundational data infrastructure that transforms enterprise data into a strategic asset and enables advanced analytics and AI across warfighting functions.
The ideal candidate will lead enterprise data operations within a highly secure, distributed, multi-cloud environment, ensuring scalable, reliable, and mission-ready data capabilities that support real-time decision-making in complex operational settings.
This role is onsite in Tampa, FL and requires an active TS/SCI security clearance.
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS082, T4, Band 7
Job-Specific Essential Duties and Responsibilities:
Enterprise Data Operations Leadership
- Serve as the Data Operations Technical Lead (Hub) supporting enterprise development and digital transformation initiatives.
- Lead delivery of data management, governance, and engineering capabilities across program components.
- Coordinate with Program Manager, Data Science Technical Lead, and Government stakeholders to align data strategy with mission priorities.
- Design, build, and maintain scalable, resilient data pipelines and platforms across hybrid and multi-cloud environments.
- Enable ingestion, integration, and processing of large-scale structured and unstructured data.
- Ensure data availability across NIPRNet, SIPRNet, and other security enclaves, including DIL (Disconnected/Intermittent/Low-bandwidth) environments.
- Implement Extract, Transform, and Load processes and automated pipelines for batch and real-time analytics.
- Develop and implement enterprise data management frameworks aligned to program policies and Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable (VAULTIS) principles.
- Establish processes for data quality, lineage, metadata, and ownership across decentralized data domains.
- Treat data as a product, supporting domain ownership and data product lifecycle management.
- Enable secure data sharing solutions for interoperability across program and partner organizations.
- Operate within information environment leveraging:
- Cloud + on-prem infrastructure
- Technologies such as Kubernetes, Docker, Spark, Kafka, Snowflake, Redshift
- Support integration with analytics, artificial intelligence (AI)/Machine Learning (ML), and ML operations platforms.
- Enable Continuous Integration/Continuous Delivery (CI/CD) and DevSecOps practices for data systems.
- Translate operational requirements into data engineering solutions supporting warfighter decision-making.
- Support near real-time analytics capabilities for operational environments.
- Ensure systems are optimized for mission-critical reliability, performance, and security compliance.
- Ensure all data operations comply with DoD, and cybersecurity policies.
- Support Risk Management Framework (RMF), ATO processes, and continuous monitoring.
- Maintain a proactive security posture aligned with enterprise AI and data initiatives.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical discipline
- 8+ years of experience managing digital/data projects supporting DoD Enterprise customers
- An active TS/SCI clearance is required.
- Must be located in one of the following areas: Tampa, FL, Fayetteville, NC, San Diego, CA, VA Beach, VA, Pensacola, FL OR Lejeune, NC.
- Proven experience leading data operations, engineering, or platform teams in Federal/DoD environments
- Data pipelines (ETL/ELT), data lakes/warehouses
- Distributed processing (Spark/Kafka or equivalent)
- Cloud platforms (AWS, Azure, or GovCloud environments)
- SQL, Python, or similar programming languages
- Master’s degree in a technical or analytics-related field
- Specialized certifications: Cloud (AWS, Azure), Data Engineering, DevSecOps /Agile
- Familiarity with the following:
- Data-as-a-product models and domain architectures
- AI/ML data pipelines and MLOps
- DevSecOps and CI/CD pipelines
- Experience operating in multi-classification environments (NIPR/SIPR/JWICS).
- Experience supporting OCONUS operations or global mission partners.
TCS082, T4, Band 7
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at applicantaccom@maximus.com .
Minimum Salary
$ 160,000.00
Maximum Salary
$ 185,000.00
See All 23 Data Operations Manager Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find Data Operations Manager JobsData Operations Manager Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Data Operations Manager Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
What Florida Employers Look For
The qualifications that appear most often in data operations manager jobs across Florida.
- Bachelor's degree in information systems, computer science, or a closely related field
- Three or more years managing data workflows, ETL processes, or database operations teams
- Hands-on experience with SQL, Python, or a major cloud data platform such as AWS or Azure
- Demonstrated ability to lead cross-functional teams and coordinate with business stakeholders
- Familiarity with data governance frameworks, data quality standards, and compliance requirements
- Experience with CRM, ERP, or business intelligence tools such as Salesforce, SAP, or Tableau
Data Operations Manager Jobs in Florida: Frequently Asked Questions
How do you become a data operations manager in Florida?
Most data operations managers in Florida start with a bachelor's degree in information systems, computer science, or business analytics, then build several years of experience in data analyst, database administrator, or data engineer roles before moving into management. Florida does not require a state-issued license for this role. Certifications such as the Certified Data Management Professional credential are widely recognized by Florida employers and strengthen a candidacy for management positions.
How much do data operations managers make in Florida?
Data operations managers in Florida earn a median of about $168,470 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $100,390 for the lowest 10% to over $264,460 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data operations managers in Florida?
Employers hiring data operations managers in Florida right now include Tesla, SAIC, and Oscar Management Corporation, based on current listings on Migrate Mate as of September 2026. Florida's large financial services, healthcare, and logistics sectors consistently generate the steadiest volume of data operations management openings in the state.
Which Florida cities have the most data operations manager jobs?
Tampa, Doral, and Florida have the most data operations manager openings in Florida. Miami leads because of its concentration of financial services, international trade, and tech firms, while Tampa and Orlando support high volumes of hiring through large healthcare systems, insurance companies, and the corporate headquarters of several national logistics and retail brands.
Are there remote data operations manager jobs in Florida?
Yes, and more than many management roles, because data operations work is largely conducted on cloud platforms and enterprise software rather than on a physical shop floor. About 63% of data operations manager openings tied to Florida are remote or hybrid as of September 2026, making it one of the more flexible management tracks in the state. The most remote-eligible functions tend to be data pipeline oversight, reporting operations, and vendor coordination.
How can I get hired as a data operations manager in Florida with little or no experience?
The most realistic entry path is to start in a data analyst, data coordinator, or database administrator role at a large Florida employer and move into operations management after demonstrating project leadership. Healthcare systems such as AdventHealth and HCA Florida, along with financial firms concentrated in Miami and Tampa, regularly hire entry-level data analysts into structured rotation programs. Building proficiency in SQL and a cloud platform, combined with a Certified Data Management Professional credential, gives candidates a concrete edge when applying for team lead or associate manager openings.
Where can I find and apply to data operations manager jobs in Florida?
You can find and apply to data operations manager jobs in Florida on Migrate Mate, which lists current Florida openings across industries and experience levels. Find roles that match your background and apply directly to the ones that fit.
See All 23 Data Operations Manager Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find Data Operations Manager Jobs