ZipRecruiter

Log In

1

Director Of Data Jobs in Boca Raton, FL (NOW HIRING)

Chesapeake

Director of Accounting

West Palm Beach, FL · On-site

The Director of Accounting is responsible for leading all accounting activities for the Company ... Support preparation of regulatory financial schedules, data requests, and testimony support for ...

next page

Showing results 1-20

All JobsOf Data JobsDirector Of Data JobsDirector Of Data Jobs in Boca Raton, FL

Director Of Data information

See Boca Raton, FL salary details

$49.3K

$122K

$189.8K

How much do director of data jobs pay per year?

As of Jul 30, 2026, the average yearly pay for director of data in Boca Raton, FL is $121,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $155,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Director of Data, you need advanced expertise in data management, analytics, and strategy, typically supported by a degree in computer science, statistics, or a related field, along with leadership experience. Familiarity with data platforms (such as SQL, Hadoop, or cloud databases), analytics tools (like Tableau or Power BI), and relevant certifications (such as Certified Data Management Professional) is common. Exceptional communication, strategic thinking, and team leadership skills help drive data initiatives and foster cross-departmental collaboration. These skills are vital to ensure data-driven decision-making, organizational alignment, and the effective governance and utilization of data assets.

What does a director of data do?

A director of data oversees an organization’s data strategy, ensuring data collection, management, and analysis support business goals. They lead data teams, develop policies for data governance, and often work with tools like data warehouses and analytics platforms to drive informed decision-making.

What jobs in the US pay 300,000 a year?

For a Director of Data, annual salaries of $300,000 or more are typically found in senior roles within large corporations, especially in industries like technology, finance, and consulting. These positions often require extensive experience, advanced skills in data management and analytics, and leadership responsibilities. Compensation can also include bonuses, stock options, and other incentives.

What is the difference between Director Of Data vs Data Analyst?

AspectDirector Of DataData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experienceBachelor's degree in related field; some roles may prefer certifications
Work EnvironmentLeadership role overseeing data teams and strategyHands-on analysis, reporting, and data visualization
Employer & Industry UsageUsed in organizations with large data teams across industriesCommon in business, marketing, finance sectors for data insights

The Director Of Data focuses on leading data strategy and managing teams, while Data Analysts perform detailed data analysis and reporting. Both roles require strong analytical skills, but the Director Of Data has a broader leadership and strategic focus.

How does a Director of Data typically collaborate with other departments to drive business objectives?

A Director of Data works closely with cross-functional teams, such as product, engineering, marketing, and operations, to ensure data-driven decision-making aligns with overall business goals. They often lead discussions to identify data needs, coordinate data collection strategies, and present actionable insights that inform strategic initiatives. Regular collaboration involves sharing data trends, setting data quality standards, and ensuring compliance with privacy regulations. This role requires balancing technical expertise with strong communication skills to bridge gaps between technical and non-technical stakeholders.

What jobs pay 500,000 a year in the US?

In the US, executive roles such as Chief Executive Officers, Chief Financial Officers, and other C-suite positions often have annual compensation exceeding $500,000, especially in large corporations. High-level specialized roles like investment bankers, senior surgeons, and successful entrepreneurs can also reach or surpass this income level, often requiring extensive experience, advanced skills, and significant responsibility.

How much does a data director make in the US?

A Data Director in the US typically earns between $120,000 and $180,000 annually, with salaries varying based on experience, industry, and company size. Senior roles with advanced skills in data management, analytics, and leadership can command higher compensation, often supplemented with bonuses and benefits.
What are popular job titles related to Director Of Data jobs in Boca Raton, FL? For Director Of Data jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Director Of Data jobs in Boca Raton, FL look for? The top searched job categories for Director Of Data jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Director Of Data jobs? Cities near Boca Raton, FL with the most Director Of Data job openings:
Director Of Data jobs near you
Infographic showing various Director Of Data job openings in Boca Raton, FL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $121,966 per year, or $58.6 per hour.

Director of Data & Artificial Intelligence

Octagon Talent

Fort Lauderdale, FL

Full-time

Posted 9 days ago

Job description

Octagon Talent Solutions is seeking a highly skilled and visionary Director of Data Science & Artificial Intelligence in the Fort Lauderdale, FL area to lead enterprise data, analytics, and AI initiatives for Moss. This role reports to senior executive leadership and will serve as the bridge between business strategy, data architecture, and technical execution across Microsoft Fabric, Azure Data Factory, Databricks, Spark/PySpark, Delta Lake, and medallion architecture. The ideal candidate brings executive presence, hands-on credibility, and the ability to influence senior stakeholders while guiding technical teams through modernization, governance, reporting, and AI-readiness initiatives.


Key Responsibilities:


  • Lead the Data Science, Analytics, and AI function with executive-level ownership of enterprise data strategy, platform modernization, reporting, governance, and AI enablement.
  • Report to senior executive leadership and act as a strategic advisor to business leaders, translating operational priorities into scalable data, analytics, and AI solutions.
  • Own the roadmap for a modern hybrid data ecosystem across Microsoft Fabric, Databricks, Azure Data Factory, Delta Lake, and medallion architecture.
  • Guide the design and implementation of lakehouse and warehouse structures in Microsoft Fabric and Databricks, ensuring scalable bronze, silver, and gold data layers that support reporting, analytics, and AI use cases.
  • Oversee Azure Data Factory orchestration, ETL/ELT pipeline strategy, data movement, and integration patterns across enterprise source systems.
  • Provide technical leadership across Spark/PySpark, SQL, Databricks workflows, Fabric Lakehouse/Warehouse, Delta tables, and data engineering best practices.
  • Partner closely with data engineers, data architects/modelers, Power BI specialists, and business stakeholders to define trusted data models, KPIs, semantic layers, and reporting standards.
  • Establish governance standards for data quality, lineage, documentation, naming conventions, access, and metric definitions so business users can rely on consistent enterprise data.
  • Lead AI and advanced analytics initiatives by ensuring the underlying data architecture is clean, well-modeled, secure, and ready for machine learning, automation, and agentic AI use cases.
  • Present complex data, AI, and platform recommendations to executives with clarity, confidence, and business relevance; must demonstrate strong executive presence and the ability to influence at the senior leadership level.
  • Mentor and develop technical team members while remaining close enough to the architecture to challenge assumptions, unblock execution, and raise the technical bar.
  • Evaluate emerging capabilities in Microsoft Fabric, Databricks, Spark, Power BI, and AI orchestration, integrating practical innovations that support measurable business outcomes.


Requirements:


  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's or Ph.D. preferred.
  • At least 7-10 years of experience across data science, data engineering, analytics, or enterprise data architecture, with a minimum of 3 years in a leadership or managerial role.
  • Hands-on leadership experience with Microsoft Fabric, Databricks, Azure Data Factory, Spark/PySpark, Delta Lake, and medallion architecture.
  • Proven expertise in AI orchestration methodologies and tools, with a solid understanding of model deployment, monitoring, and the data architecture required to support AI at scale.
  • Strong experience with Power BI for data visualization and reporting, including knowledge of DAX and Power Query.
  • Proficient in programming languages such as Python, R, or SQL, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Excellent analytical and problem-solving skills, with a strategic mindset and a passion for turning data into insights.
  • Exceptional leadership, communication, and executive presence, with the ability to convey complex concepts to technical teams, business leaders, and senior executives.
  • Experience in agile methodologies and project management is a plus.


Why Join Us

This is an exciting opportunity to shape the future of the organization through data-driven insights and innovative AI solutions. If you are a forward-thinking leader with a passion for data science and a commitment to excellence, we invite you to apply and become a key driver of the data strategy.