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Financial Data Manager Jobs in Naples, FL (NOW HIRING)

These systems are used to perform analysis and research studies as required by Senior Management. The position must also ensure data quality and integrity in these financial and decision support ...

With the Property Controller, General Manager and Management Team is responsible for preparing and ... Prepare dashboards, charts, and presentations that translate complex financial data into clear ...

With the Property Controller, General Manager and Management Team is responsible for preparing and ... Prepare dashboards, charts, and presentations that translate complex financial data into clear ...

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Translate financial data into plain-language insights that support business decisions Vendor Management * Payment terms & early-pay discount negotiations * Vendor/subcontractor contract review

JOB SUMMARY The Financial Analyst is responsible for developing, maintaining, monitoring and management of comprehensive data system. These systems are used to perform analysis and research studies ...

Property Manager

Fort Myers Beach, FL · On-site

$50K - $65K/yr

Ability to analyze financial data * Must be able to diagnose issues and implement solutions * Must have excellent time management and organizational skills * Must have excellent verbal, written and ...

As an Operations Manager, you will manage onsite Account Managers to ensure client satisfaction and ... Ability to interpret simple financial data and use it to support decision-making * Demonstrated ...

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Financial Data Manager information

See Naples, FL salary details

$29.2K

$91.5K

$162K

How much do financial data manager jobs pay per year?

As of Aug 25, 2026, the average yearly pay for financial data manager in Naples, FL is $91,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $118,200.00 per year, depending on experience, location, and employer.

What does a financial data manager do?

A Financial Data Manager oversees the collection, analysis, and management of financial data within an organization. They ensure the accuracy and integrity of financial information, develop data management strategies, and support decision-making by providing relevant financial insights. Their role often involves working with large datasets, implementing financial software, and collaborating with accounting and finance teams to streamline reporting and compliance processes.

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

To thrive as a Financial Data Manager, you need expertise in finance, data analysis, and accounting principles, often supported by a degree in finance or a related field. Familiarity with financial management software, data visualization tools, and systems like SQL or SAP, as well as certifications such as CFA or CPA, are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with stakeholders. These competencies ensure accurate financial reporting, informed decision-making, and efficient management of financial information for organizational success.

What are some common challenges financial data managers face when ensuring data integrity across multiple systems?

Financial Data Managers often encounter challenges related to data consistency and accuracy, especially when integrating information from various financial software and databases. Discrepancies can arise due to differing data formats, real-time updates, and legacy systems, requiring careful validation and reconciliation processes. To address these issues, Financial Data Managers collaborate closely with IT teams, auditors, and financial analysts to establish robust data governance protocols and regular quality checks. This collaborative approach helps maintain trustworthy financial reporting and supports strategic business decisions.

What is the difference between Financial Data Manager vs Financial Analyst?

AspectFinancial Data ManagerFinancial Analyst
CredentialsBachelor's degree in finance, accounting, or related field; certifications like CFA or CPA beneficialBachelor's degree in finance, economics, or related; CFA certification often preferred
Work EnvironmentData-focused roles within finance departments, often in corporate or financial institutionsAnalytical roles in investment firms, banks, or corporate finance teams
Employer & Industry UsageUsed in finance departments managing large datasets, reporting, and data integrityUsed for investment analysis, financial planning, and market research

Financial Data Managers focus on managing and maintaining financial datasets, ensuring data accuracy and integrity. Financial Analysts interpret this data to provide insights, forecasts, and investment recommendations. While both roles require strong analytical skills and finance knowledge, the Data Manager emphasizes data management, whereas the Analyst emphasizes data analysis and decision-making support.

What is financial data management?

Financial data management involves collecting, organizing, and maintaining financial information to ensure accuracy, security, and accessibility for analysis and reporting. It often requires proficiency with database tools, spreadsheets, and financial software, and is essential for informed decision-making in finance roles like a Financial Data Manager.

What cities near Naples, FL are hiring for Financial Data Manager jobs?

Cities near Naples, FL with the most Financial Data Manager job openings:

Manager of Data Science

Naples, FL


Cliftonlarsonallen
Accounting Services • 5 - 10K employees

7.0

Company rating: 7.0 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

21st of 23 rated bookkeepers and accountants

Respectful managers

Uninterrupted breaks


Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 days ago


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Director to join our growing Internal IT team.

About the role:

CLA is looking to hire a Manger of Data Science

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As Manager of Data Science, you will have to following responsibilities:

Leadership
  • Provide daytoday leadership, coaching, development, and performance management.
  • Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
  • Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
  • Build and sustain a highperforming team culture rooted in collaboration, quality, accountability, and innovation.

Technical Oversight

  • Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
  • Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
  • Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
  • Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
  • Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
  • Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
  • Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.

Workflow Management

  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
  • Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
  • Oversee planning, prioritization, and resourcing across projects and teams.
  • Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
  • Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
  • Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
  • Remove obstacles, manage risks, and ensure consistent execution across initiatives.

CrossFunctional Collaboration

  • Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
  • Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
  • Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
  • Communicate progress, risks, and results clearly to both technical and non technical audiences.
  • Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
  • Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.

What you will need:

8 years of relevant experience required.

  • Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
  • Supervisory experience required.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
  • Masters in a Data Science/Analytics/AI is a plus

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012


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Pay

Benefits

Hours and flexibility

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