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Head Of Business Intelligence Jobs (NOW HIRING)

SUMMARY The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all ...

SUMMARY The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all ...

Ivy Fertility is seeking a strategic and hands-on Director of Business Intelligence (BI) to lead the design, development, and evolution of our enterprise analytics ecosystem. This role will be ...

We are looking for a strategic, highly commercial, and visionary Head of Business Data to lead our ... Lead Business Intelligence & GTM Analytics: Own the end-to-end dashboarding and reporting ecosystem.

Position Responsibilities Channel is seeking a Director of Business Intelligence to lead the strategy and delivery of enterprise reporting and analytics. This hands-on role oversees dashboard ...

As Director of Business Intelligence, you will define and own the strategy and roadmap for making data accessible, trusted, and actionable across CD Baby. You'll establish the metrics that matter ...

As Director of Business Intelligence, you will define and own the strategy and roadmap for making data accessible, trusted, and actionable across CD Baby. You'll establish the metrics that matter ...

As Director of Business Intelligence, you will define and own the strategy and roadmap for making data accessible, trusted, and actionable across CD Baby. You'll establish the metrics that matter ...

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How much do head of business intelligence jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for head of business intelligence in the United States is $28.85, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $31.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Head of Business Intelligence, and why are they important?

To thrive as a Head of Business Intelligence, you need expertise in data analysis, business strategy, and leadership, typically supported by a degree in analytics, computer science, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and data warehousing systems, along with experience in data governance, is essential. Exceptional communication, critical thinking, and stakeholder management skills help drive cross-functional collaboration and strategic decision-making. These competencies enable effective data-driven leadership, ensuring the organization gains actionable insights and maintains a competitive edge.

How much does a director of business intelligence make in the US?

A Head of Business Intelligence in the US typically earns between $100,000 and $160,000 annually, with senior roles or those in large companies reaching higher salaries. Compensation depends on experience, industry, location, and the complexity of data tools used, such as SQL, Tableau, or Power BI.

What are some common challenges faced by a Head of Business Intelligence when implementing data-driven strategies across departments?

One of the main challenges a Head of Business Intelligence encounters is ensuring data consistency and quality across various departments, which may use different systems or processes. Aligning stakeholders on the importance of data-driven decision-making can also require significant change management and communication skills. Additionally, balancing quick business needs with the long-term development of scalable BI solutions often leads to prioritization challenges. Success in this role often depends on fostering strong collaboration with IT, data engineers, and business leaders to drive effective adoption of analytics.

What does a head of business intelligence do?

A head of business intelligence leads the development and management of data analysis strategies to support business decision-making. They oversee data collection, analysis, and reporting processes, often utilizing tools like SQL, Tableau, or Power BI, and coordinate with other departments to ensure data-driven insights are integrated into strategic planning.

What are the 4 pillars of business intelligence?

The four pillars of business intelligence are data, technology, processes, and people. Data involves collecting and managing relevant information; technology includes tools like data warehouses and analytics platforms; processes refer to the methods for analyzing and reporting data; and people are the analysts and decision-makers who interpret insights to drive business strategies.

What is the highest salary for a business intelligence analyst?

The highest salary for a business intelligence analyst can reach up to $120,000 to $150,000 annually, especially for those with extensive experience, advanced skills in tools like Tableau or Power BI, and certifications. Senior roles such as Head of Business Intelligence typically earn higher, often exceeding $150,000, depending on the industry and location.

What is the difference between Head Of Business Intelligence vs Business Intelligence Manager?

AspectHead Of Business IntelligenceBusiness Intelligence Manager
ResponsibilitiesOversees entire BI strategy, leads teams, aligns BI with business goalsManages BI projects, supervises analysts, implements reporting solutions
Required SkillsStrategic planning, leadership, advanced analyticsData analysis, reporting, project management
Experience & CertificationsTypically 8+ years, leadership experience, BI certifications5+ years, technical BI certifications often preferred
Work EnvironmentExecutive level, cross-departmental collaborationTeam management, technical environment

The Head Of Business Intelligence focuses on strategic leadership and aligning BI initiatives with overall business objectives, while the Business Intelligence Manager handles day-to-day project management and technical implementation. Both roles require strong analytical skills and industry experience, but the Head Of BI has a broader, more strategic scope.

More about Head Of Business Intelligence jobs
What cities are hiring for Head Of Business Intelligence jobs? Cities with the most Head Of Business Intelligence job openings:
What are the most commonly searched types of Of Business Intelligence jobs? The most popular types of Of Business Intelligence jobs are:
What states have the most Head Of Business Intelligence jobs? States with the most job openings for Head Of Business Intelligence jobs include:
Infographic showing various Head Of Business Intelligence job openings in the United States as of July 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 $59,999 per year, or $28.8 per hour.

Director of Business Intelligence

Alivi

Miami, FL • On-site

Full-time

Posted 17 days ago


Job description

SUMMARY
The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all business functions. This leader provides strategic oversight of Business Intelligence, Data Engineering, Data Governance, and Analytics while partnering with executive leadership to transform enterprise data into measurable business value.
DUTIES & RESPONSIBILITIES
Enterprise Data Strategy & Leadership
  • Serve as the enterprise leader for data governance, data quality, data security, and data management best practices.
  • Establish and maintain enterprise data standards, policies, and procedures.
  • Lead a team of BI developers, data engineers, data analysts, and architects.
  • Partner with executive leadership to identify opportunities where analytics can drive operational and financial performance.
  • Develop and manage BI roadmaps, project portfolios, resource planning, and departmental budgets.

Data Warehouse & Data Lake Architecture
  • Develop scalable data platforms capable of integrating structured and unstructured data from internal and external sources.
  • Lead the development of modern ELT/ETL frameworks and data pipelines.
  • Ensure data models support operational reporting, executive dashboards, predictive analytics, and self-service business intelligence.
  • Establish data lineage, metadata management, master data management, and data cataloging standards.
  • Optimize data storage, performance, scalability, and data accessibility across the organization.

Data Engineering & Data Management
  • Direct enterprise-wide data integration initiatives involving financial, operational, clinical, customer, and third-party systems.
  • Ensure the accuracy, completeness, consistency, and reliability of organizational data assets.
  • Implement processes to monitor data quality and proactively resolve data integrity issues.
  • Oversee data migration, transformation, validation, and reconciliation activities.
  • Establish data retention, archival, security, and compliance standards.
  • Evaluate emerging technologies and platforms to improve enterprise data capabilities.

Business Intelligence, Reporting & Self-Service Analytics
  • Lead the design, development, and deployment of executive dashboards, scorecards, and interactive reporting solutions.
  • Establish enterprise KPI frameworks and performance management metrics.
  • Develop self-service analytics capabilities using modern BI tools.
  • Ensure dashboards provide actionable insights and support strategic, tactical, and operational decision-making.
  • Partner with business stakeholders to gather requirements and translate business needs into scalable reporting solutions.
  • Continuously improve reporting environments to enhance user experience, adoption, and data accessibility.

Advanced Analytics, Artificial Intelligence & Innovation
  • Guide the development of predictive, prescriptive, and diagnostic analytics solutions.
  • Lead initiatives focused on trend analysis, forecasting, segmentation, profitability analysis, resource optimization, and operational performance.
  • Provide strategic recommendations based on complex analyses and business intelligence findings.
  • Drive organization-wide adoption of data-driven decision-making practices.
  • Present analytical findings and business recommendations to executive leadership and key stakeholders.

Operational and Financial Analytics
  • Support financial performance initiatives through advanced reporting and analytics.
  • Develop enterprise reporting for revenue, profitability, cost management, utilization, productivity, and operational effectiveness.
  • Monitor key performance indicators and identify opportunities for process improvement.
  • Collaborate with Finance, Operations, Compliance, and Business Development teams to support strategic initiatives.

Stakeholder Management
  • Partner with business leaders to identify analytics opportunities and prioritize BI initiatives.
  • Act as a trusted advisor to executive leadership on data strategy and business intelligence matters.
  • Communicate complex technical concepts and analytical findings to both technical and non-technical audiences.
  • Foster a culture of collaboration, innovation, and continuous improvement across the organization.

REQUIREMENTS & QUALIFICATIONS
Education
  • Bachelor's degree in computer science, Information Systems, Data Analytics, Business Intelligence, Engineering, Mathematics, or related field required.
  • Master's degree preferred.

Experience
  • 8+ years of progressive experience in Business Intelligence, Data Engineering, Data Architecture, Analytics, or related disciplines.
  • 5+ years of leadership experience managing BI, Analytics, or Data Engineering teams.
  • Experience designing and managing enterprise Data Warehouses and Data Lakes.
  • Proven experience leading enterprise-scale data transformation initiatives.
  • Experience supporting executive leadership with strategic reporting and analytics.

Technical Skills
  • Advanced SQL expertise.
  • Data Warehouse Architecture (Kimball, Star Schema, Snowflake Models).
  • Data Lake and Modern Data Platform Architecture.
  • Data Modeling and Database Design.
  • ETL/ELT Development and Data Integration.
  • Microsoft SQL Server, Azure, AWS, Snowflake, Databricks, or equivalent cloud platforms.
  • Data Governance and Master Data Management.
  • Python, R, or other analytics programming languages preferred.
  • Agile project management methodologies.

COMPETENCIES
Strategic Leadership
  • Develop long-term data and analytics strategies aligned with organizational goals.
  • Drives enterprise-wide adoption of data-driven decision-making.

Data Architecture & Management
  • Designs scalable and sustainable data environments.
  • Ensures strong governance, quality, security, and accessibility of data assets.

Business Intelligence
  • Translate complex business requirements into impactful dashboards and reporting solutions.
  • Establish meaningful KPIs and performance monitoring systems.

Analytical Thinking
  • Synthesizes complex data into actionable business insights.
  • Identifies trends, risks, opportunities, and operational improvements.

Project & Program Management
  • Leads large-scale cross-functional initiatives.
  • Effectively manages priorities, resources, timelines, and stakeholder expectations.

Communication & Executive Presence
  • Influences decision-making through data storytelling and strategic recommendations.
  • Effectively communicates with executive leadership, board members, clients, and operational teams.

Innovation & Continuous Improvement
  • Champions emerging technologies and modern analytics practices.
  • Continuously improves data platforms, reporting capabilities, and organizational analytics maturity.

HOW WE BEHAVE: CORE VALUES
  • Collaborative - We are friendly, and always ready to lend a hand; We are humble, and willing to admit mistakes; We trust our team and use respectful conflict to make decisions.
  • Entrepreneurial - We are personally committed, and hunger for Alivi's success; We show passion and do more with what we have; We don't give up and always find ways to get the job done.
  • Dynamic - We gladly welcome change; We are smart, and challenge how things are done. We adapt quickly, and readily embrace new roles, and projects.