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Mapping Validation Jobs in Florida (NOW HIRING)

Chief Actuary

Boca Raton, FL · On-site +1

$110K - $129K/yr

... mapping, validation, testing, and conversion from legacy systems. • Establish data governance standards, including data quality, integrity, documentation, access controls, and auditability for ...

Performing calculations for field crews and mapping as needed. * Compiling and researching projects ... Valid driver's license with approved/acceptable driving history required. Compensation & Benefits:

Showing results 21-40

Mapping Validation information

What are the key skills and qualifications needed to thrive as a mapping validation specialist, and why are they important?

To thrive as a Mapping Validation Specialist, you need strong analytical skills, spatial awareness, and attention to detail, often supported by a degree in geography, GIS, or a related field. Familiarity with geographic information systems (GIS) software such as ArcGIS or QGIS, and experience with data validation tools and mapping standards, are typically required. Strong problem-solving abilities, communication skills, and the capacity to work independently make someone stand out in this position. These skills ensure the accuracy and reliability of mapping data, which is critical for decision-making in industries like urban planning, logistics, and navigation.

What is the difference between Mapping Validation vs Data Analyst?

AspectMapping ValidationData Analyst
Required CredentialsTypically certifications in GIS, data validation, or related fieldsOften requires degrees in statistics, data science, or related areas
Work EnvironmentPrimarily in GIS, mapping, or data validation teams within tech, government, or logisticsIn various industries including finance, marketing, healthcare, working with data analysis tools
Employer & Industry UsageUsed in GIS, mapping services, logistics, and infrastructure projectsWidely used across industries for data-driven decision making

Mapping Validation focuses on verifying the accuracy and integrity of geographic or spatial data, ensuring maps and spatial datasets are correct. Data Analysts interpret, process, and analyze data to support business decisions. While both roles handle data, Mapping Validation is specialized in spatial accuracy, whereas Data Analysts work with broader datasets across various domains.

What is mapping validation?

Mapping validation is the process of verifying that data mappings between two or more systems, databases, or data formats are correct and consistent. This ensures that information is transferred accurately and meets the required business or technical specifications. Mapping validation is crucial during data migration, integration, or transformation projects to prevent data loss, corruption, or misinterpretation. It typically involves checking field correspondences, data types, and transformation logic to ensure they align with project requirements.

What are some common challenges faced in a mapping validation role, and how can they be overcome?

Professionals in Mapping Validation often encounter challenges such as ensuring data accuracy, managing large datasets, and resolving discrepancies between various map sources. Collaborating closely with data engineers, GIS specialists, and project managers is essential to validate information efficiently. Staying updated with the latest mapping technologies and quality control standards can help overcome these challenges, as can developing strong attention to detail and problem-solving skills. Regular training and open communication within the validation team also contribute to maintaining high-quality mapping outputs.
What are the most commonly searched types of Mapping Validation jobs in Florida? The most popular types of Mapping Validation jobs in Florida are:

Chief Actuary

Total Warranty Services

Boca Raton, FL • On-site, Remote

$110K - $129K/yr

Full-time

Posted 19 days ago


Job description

Description
The Chief Actuary is responsible for leading the organization's actuarial function, including the analysis of financial risk, development of pricing strategies, and oversight of reserve adequacy. This role ensures that actuarial practices support the company's financial stability, regulatory requirements, and long-term strategic objectives. In addition, the Chief Actuary will partner closely with IT and other stakeholders to design, develop, and maintain a centralized data warehouse that consolidates enterprise data. Responsibilities include assessing business and actuarial data needs, evaluating and selecting vendors, supporting system implementation, and ensuring ongoing functionality and usability for the actuarial department. The role will also collaborate with cross-functional teams to deliver data-driven insights that inform strategic decision-making across the organization.
ESSENTIAL DUTIES & RESPONSIBILITIES
• Develop, maintain, and enhance actuarial models related to pricing, reserving, forecasting, and risk analysis
• Analyze large datasets to identify trends, drivers, and emerging risks
• Prepare reports, presentations, and recommendations for internal stakeholders and leadership
• Support financial planning, experience studies, and assumption setting
• Collaborate with underwriting, finance, product, and data teams
• Ensure compliance with regulatory, professional, and internal standards
• Participate in process improvements and automation initiatives
• Performs other related duties as assigned
• Develop Standard Operating Procedures
• Define and prioritize actuarial and enterprise data requirements to support pricing, reserving, forecasting, and risk management activities.
• Partner with IT, data engineering, and business stakeholders to design a centralized, scalable data warehouse architecture that consolidates actuarial, financial, operational, and external data sources.
• Work with IT in the evaluation, selection, and oversight of data warehouse platforms, analytics tools, and third-party vendors, ensuring alignment with the needs of the actuarial department.
• Provide actuarial leadership during system implementation, including but not limited to data mapping, validation, testing, and conversion from legacy systems.
• Establish data governance standards, including data quality, integrity, documentation, access controls, and auditability for actuarial data.
• Collaborate with cross-functional teams to develop standardized metrics, dashboards, and analytical outputs that enable data-driven decision-making.
• Oversee ongoing functionality, performance, and usability of actuarial data tools, ensuring they evolve with changing business and regulatory needs.
• Promote best practices in data management, automation, and advanced analytics within the actuarial function.
• Serve as a strategic advisor on enterprise data initiatives, leveraging actuarial insight to enhance organizational analytics and long-term planning.
• Other duties as assigned by manager
Requirements
• Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics or a related field, Master's degree or MBA preferred
• 10 years of industry-related experience including three years in upper management required
• Exceptional verbal and written communication skills with the ability to convey complex technical content to non-technical audiences
• Proficiency in actuarial modeling and statistical tools (e.g., Prophet, AXIS, Emblem).
• Strong command of analytical programming languages (e.g., Python, R, SAS, SQL).
• Deep understanding of risk, financial theory, and capital modeling
• Extensive knowledge of the principles, procedures, and best practices in the industry
• Excellent organizational skills and attention to detail
• Strong analytical and problem-solving skills
• Proficient with Microsoft Office Suite or related software
• Ability to thrive in a fast-paced, team-based environment