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$100.5K

$132.8K

$160K

How much do director predictive analytics jobs pay per year?

As of Jul 11, 2026, the average yearly pay for director predictive analytics in the United States is $132,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $141,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What does a director of analytics do?

A director of analytics oversees data analysis teams to develop strategies that improve business performance through data-driven insights. They manage analytics projects, interpret complex data, and communicate findings to stakeholders, often using tools like SQL, Python, or Tableau. This role requires strong leadership, statistical knowledge, and experience in predictive modeling and data management.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Predictive Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require advanced skills in data modeling, leadership, and experience with tools like Python, R, or SQL, along with strategic decision-making responsibilities.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What skills are needed for predictive analytics?

Predictive analytics professionals need strong skills in statistical analysis, data modeling, and machine learning algorithms. Proficiency in programming languages such as Python or R, experience with data visualization tools, and knowledge of database management are also essential for success in this role.

Will AI replace big data?

As a Director of Predictive Analytics, you understand that AI enhances big data analysis by automating data processing and improving predictive models. AI tools like machine learning algorithms are used to extract insights from large datasets, but they complement rather than replace the need for big data infrastructure and skilled analysts. Both are essential for effective data-driven decision-making in organizations.

What are the typical collaboration points for a Director of Predictive Analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a Director of Predictive Analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.
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What are the most commonly searched types of Predictive Analytics jobs? The most popular types of Predictive Analytics jobs are:
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Director Predictive Analytics jobs near you
Director, Data Analytics

Director, Data Analytics

Focus Financial Partners

New Hyde Park, NY • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
Focus Financial Partners is a leading financial services firm specializing in wealth management and business management services. The Director of Data Analytics will lead the FP&A and data analytics strategy, transforming data into actionable insights to improve growth and business performance.
Responsibilities:
• Help build and develop a high-performing finance data analytics team responsible for dashboards, KPI reporting, ad hoc analysis, business intelligence, and advanced analytics.
• Partner across all business disciplines to improve data quality, establish common definitions, and enable trusted analytics across CRM, portfolio reporting systems and billing systems.
• Deliver meaningful reporting across client trends, segmentation, productivity, profitability, and retention metrics.
• Navigate the firm's data warehouse capabilities, ensuring clean integration of data to our Enterprise Resource Planning (ERP) system and other reporting platforms.
• Identify and implement opportunities to use predictive analytics and AI to improve process automation.
• Drive adoption of self-service analytics tools, data literacy, and a culture of evidence-based decision-making across the finance organization.
• Establish strong standards for governance, date quality, and privacy to support regulatory, risk, and audit requirements.
Qualifications:
Required:
• Bachelor’s degree in data science, statistics, finance, computer science, or a related quantitative field
• 7 to 10 years of progressive experience in data analytics in a large and complex environment
• Proficiency in SQL, Python/R, and BI tools (Tableau, Power BI, or similar)
• Excellent communication, collaboration, and leadership skills, with the ability to explain complex analyses to non-technical audiences
• Demonstrated understanding and experience in financial services
Preferred:
• Familiarity with cloud data platforms (Snowflake, Databricks, Azure, Synapse)
• Familiarity with Workday ERP and Adaptive Planning
• Experience implementing predictive analytics, machine learning, or self-service analytics programs in a regulated environment
Company:
Focus Financial Partners is a partnership of fiduciary wealth management firms that offers support and access to capital for growth. Founded in 2006, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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