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$59.5K

$147.1K

$199.5K

How much do business intelligence director jobs pay per year?

As of Aug 12, 2026, the average yearly pay for business intelligence director in the United States is $147,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What does a Business Intelligence Director do?

A Business Intelligence (BI) Director leads the strategy and operations for collecting, analyzing, and utilizing data to support business decision-making. They oversee BI teams, manage analytics projects, and ensure that data systems provide actionable insights to drive company growth. The BI Director collaborates with other departments to identify key data needs, implement BI tools, and ensure data quality and integrity. Their role is crucial in transforming data into strategic business value.

What are the key skills and qualifications needed to thrive as a Business Intelligence Director?

To thrive as a Business Intelligence Director, you need expertise in data analytics, business strategy, and management, often supported by a degree in computer science, statistics, or business, and extensive experience in BI roles. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as relevant certifications, is typically required. Strong leadership, communication, and problem-solving skills help drive cross-functional teams and translate data insights into actionable strategies. These abilities are crucial for aligning data initiatives with organizational goals and enabling data-driven decision-making across the business.

How does a Business Intelligence Director typically collaborate with other departments to drive strategic decisions?

A Business Intelligence Director works closely with cross-functional teams such as IT, marketing, finance, and operations to ensure data-driven insights are integrated into business strategy. They often lead workshops, present analytical findings, and facilitate discussions to address specific business challenges. By aligning BI initiatives with organizational goals, they help other departments identify opportunities for improvement and growth. This collaborative approach not only ensures data accuracy and relevance but also fosters a culture of informed decision-making across the company.

What is the difference between Business Intelligence Director vs Data Analytics Manager?

AspectBusiness Intelligence DirectorData Analytics Manager
Required CredentialsBachelor's or Master's in Business, IT, or related fields; often certifications in BI toolsBachelor's or Master's in Data Science, Statistics, or related fields; certifications in analytics tools
Work EnvironmentStrategic leadership in corporate settings, overseeing BI teamsHands-on analytics work, managing data projects and teams
Employer & Industry UsageUsed in large corporations across finance, retail, healthcareCommon in tech, consulting, and data-driven industries

The Business Intelligence Director focuses on strategic oversight of BI initiatives, aligning data insights with business goals. In contrast, the Data Analytics Manager handles day-to-day data analysis and project management. Both roles require strong technical skills and leadership but differ in scope and focus.

More about Business Intelligence Director jobs
What cities are hiring for Business Intelligence Director jobs? Cities with the most Business Intelligence Director job openings:
What are the most commonly searched types of Business Intelligence jobs? The most popular types of Business Intelligence jobs are:
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What states have the most Business Intelligence Director jobs? States with the most job openings for Business Intelligence Director jobs include:
What job categories do people searching Business Intelligence Director jobs look for? The top searched job categories for Business Intelligence Director jobs are:
Business Intelligence Director jobs near you
Infographic showing various Business Intelligence Director job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $147,146 per year, or $70.7 per hour.

Director, Business Intelligence

Jobtailor

San Francisco, CA • On-site

$120 - $170/hr

Other

Posted 6 days ago

Job description

Responsibilities
  • Define and deliver the data, intelligence, and analytics roadmap for Legal and Patent Licensing, aligned with long‑term licensing growth and portfolio objectives
  • Establish an intelligence framework integrating market data, licensee data, financial outcomes, patent assets, and external signals to enable informed decision‑making
  • Lead the aggregation and analysis of global market intelligence across relevant industries
  • Develop models that translate technology adoption and licensing dynamics into forecastable business opportunities
  • Design and continuously improve economic and royalty models supporting licensing agreements
  • Lead the application of AI and machine learning to legal and licensing use cases
  • Oversee the design and evolution of data pipelines, models, and analytics platforms supporting Legal and Patent Licensing
  • Collaborate with cross‑functional teams to align analytics with business priorities
  • Communicate the business impact of data and intelligence initiatives with clear linkage to outcomes and risk management
Requirements
  • Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Finance, Engineering, or a related quantitative field
  • Experience leading analytics, intelligence, or modeling functions in patent licensing, intellectual property, legal, finance, or related environments
  • Experience synthesizing market data in technology‑driven industries
  • Experience developing and maintaining economic or royalty models
  • Ability to engage effectively with cross‑functional and senior stakeholders
  • Experience with Databricks and business intelligence tools (e.g., Power BI, Tableau)
  • Proficiency in SQL and Python for data analysis and modeling
  • Experience working with large, complex datasets
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