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Data Ops Manager Jobs in Florida (NOW HIRING)

City of Melbourne

Traffic Ops Manager

Melbourne, FL · On-site

$65K - $107K/yr

Manages and participates in the development and administration of the Traffic Engineering Division ... Ability to review, analyze and interpret data and to formulate action plans. Ability to write ...

Matia

Recruiting Lead

Miami, FL · On-site +1

You'll work closely with hiring managers across the company, partner with our IL Ops Manager on new ... Data/SaaS Background: Experience at a data tools, ETL, or B2B SaaS company * Tools: LinkedIn ...

Geico

Principal Marketing Data Ops Engineer II

Tampa, FL · On-site

$115K - $260K/yr

You'll work directly with CRM/marketing automation engineering and campaign operations teams to make audience and event data available, reliable, and easy to use. What you'll build * Instrumentation ...

QTS Realty Trust, Inc.

Security Ops Mgr I

Miami, FL · On-site

Manage security operations for a data center * Maintain close coordination with security vendor management to ensure continuous improvement of security team skills through targeted training ...

Florida Jobs

OPS Senior Clerk

Saint Petersburg, FL · On-site

$17.75/hr

Ops Senior Clerk - 77907654 The State Personnel System is an E-Verify employer. Requisition No ... effort data in response to requests by state and federal fisheries managers, fisheries ...

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Data Ops Manager information

What is a Data Ops manager?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

What are some common challenges faced by a Data Ops manager, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

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

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What are popular job titles related to Data Ops Manager jobs in Florida?

For Data Ops Manager jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Ops Manager jobs in Florida look for?

The top searched job categories for Data Ops Manager jobs in Florida are:

Data Ops Manager jobs near you
Infographic showing various Data Ops Manager job openings in Florida as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Tableau Market Risk Data Operations Analyst

Tampa, FL • On-site

Echo IT Solutions, Inc.
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Job description

Seeking Market Risk Data Operations resources to support Market Risk Data Ops initiatives. The ideal candidate should have strong experience in data management, reporting, visualization, Tableau, MS Access, Dashboard, Prep Flows, Visualization and governance within market risk environments.

 

Required Skills & Experience

Core Technical Skills

•              Strong hands-on experience in MS Access

•              Strong proficiency in SQL

•              Experience in Database Management

•              Expertise in Tableau reporting and visualization

Tableau Capabilities

•              Building and maintaining Tableau Data Sources

•              Creating and managing Prep Flows

•              Designing and developing Dashboards

•              Advanced reporting and visualization development

•              Data Operations & Govern

•              Data governance and monitoring

•              Operational reporting

•              Data quality and controls

•              Support for governance and monitoring frameworks

Domain Knowledge

•              Understanding of Market Risk concepts

•              Knowledge of Market Risk processes

•              Familiarity with Market Risk data domains

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