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Business Intelligence Project Manager Jobs (NOW HIRING)

TECO

Business Intelligence Analyst

Tampa, FL

... Intelligence projects and the communication of business insights via data modeling and ... Collaborates with business leads, IT resources, and senior management with a focus on requirements ...

IDEALFORCE LLC

BI Project Manager (39238)

Columbus, OH · On-site

$95K - $112K/yr

Develop and manage Business Intelligence project plan, scheduling, dependencies, risks, contingency plans and allocation of available resources Develop and implement a simple, but multi-tiered ...

Lukos

Intelligence Project Engineer

Tampa, FL · On-site

$48.25 - $62.50/hr

Intelligence Project Engineer Please note: This position is contingent upon the award of a contract ... Must be able to meet COMSEC briefing and Local Element management certification requirements ...

TidalHealth

Business Intelligence Manager

Salisbury, MD · On-site

$95K - $148K/yr

Project management, data governance, and stakeholder engagement experience preferred. * Epic ... Business Intelligence Manager Benefits Benefits: We provide a robust benefits suite for our ...

Sonrava Health

Business Intelligence Mgr

Orange, CA · On-site

$145K/yr

... Business Intelligence (BI) Manager will lead the design, development, and delivery of business ... Lead the planning, prioritization, and delivery of BI projects, dashboards, and reports supporting ...

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Business Intelligence Project Manager information

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$29.5K

$114.3K

$167.5K

How much do business intelligence project manager jobs pay per year?

As of Jun 6, 2026, the average yearly pay for business intelligence project manager in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What does a Business Intelligence Project Manager do?

A Business Intelligence Project Manager oversees the planning, execution, and delivery of business intelligence projects within an organization. They coordinate teams of analysts, developers, and stakeholders to ensure that BI solutions meet business goals and are delivered on time. Their responsibilities typically include defining project scope, allocating resources, managing budgets, and ensuring data quality and security. Additionally, they facilitate communication between technical teams and business leaders to align BI initiatives with strategic objectives.

What is the difference between Business Intelligence Project Manager vs Data Analyst?

AspectBusiness Intelligence Project ManagerData Analyst
Required CredentialsBachelor's in Business, IT, or related field; PMP or PMI certificationsBachelor's in Statistics, Mathematics, or related field; SQL, Excel, and data visualization skills
Work EnvironmentProject teams, cross-departmental collaboration, IT and business unitsData collection, analysis, reporting, often in an office setting
Employer & Industry UsageBusinesses implementing BI solutions, consulting firms, finance, healthcareOrganizations analyzing data for insights, marketing, finance, tech

While both roles involve working with data, a Business Intelligence Project Manager oversees BI projects, manages teams, and ensures project delivery, whereas a Data Analyst focuses on analyzing data to generate reports and insights. The roles complement each other but differ in scope and responsibilities.

How does a Business Intelligence Project Manager typically collaborate with cross-functional teams during a project lifecycle?

A Business Intelligence (BI) Project Manager frequently works with cross-functional teams, including data analysts, IT specialists, business stakeholders, and executive leadership. They facilitate communication between technical and non-technical team members to ensure project goals align with business objectives. Regular meetings, clear documentation, and stakeholder updates are key components of their collaboration process. This role often acts as a bridge to translate business requirements into actionable technical tasks, ensuring timely delivery and quality results.

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

To thrive as a Business Intelligence Project Manager, you need a solid background in data analysis, project management, and business strategy, often supported by a bachelor’s degree in a related field and experience with BI projects. Familiarity with BI tools like Tableau, Power BI, SQL, and project management platforms such as Jira or MS Project, along with certifications like PMP or Scrum Master, is typically required. Strong leadership, communication, and problem-solving skills help you coordinate cross-functional teams and translate business needs into actionable analytics solutions. These skills ensure projects are delivered on time, meet business objectives, and drive informed decision-making within the organization.
More about Business Intelligence Project Manager jobs
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Business Intelligence Project Manager jobs near you
Infographic showing various Business Intelligence Project Manager job openings in the United States as of May 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $114,260 per year, or $54.9 per hour.

Business Intelligence / Project Manager

HARAMAIN SYSTEMS INC.

Cincinnati, OH • Remote

Contractor

Posted 5 days ago

Job description

Role: Business Intelligence (BI) Project Manager
Location: Dallas, TX/Chicago, IL Remote Role

Duration: 12 Months


Position Summary

seeking an experienced Business Intelligence (BI) Project Manager to lead enterprise-level data and analytics initiatives. The ideal candidate will manage BI projects from planning through execution, working closely with stakeholders across business units such as operations, finance, marketing, and guest analytics. This role requires strong project management skills, BI knowledge, and experience delivering data-driven solutions in fast-paced environments.

Key Responsibilities:

  • Lead end-to-end delivery of Business Intelligence and Analytics projects.
  • Define project scope, timelines, milestones, and deliverables.
  • Collaborate with business stakeholders to gather requirements and translate them into technical BI solutions.
  • Manage cross-functional teams including BI Developers, Data Engineers, and Analysts.
  • Track project progress, risks, and dependencies using project management tools.
  • Coordinate data warehouse, reporting, and dashboard development initiatives.
  • Ensure alignment with organizational data strategy and business objectives.
  • Oversee BI reporting tools implementation such as dashboards and performance reports.
  • Facilitate Agile ceremonies such as Sprint Planning, Stand-ups, and Retrospectives.
  • Communicate project status updates to leadership and stakeholders.
  • Ensure data quality, governance, and compliance standards are followed.
  • Support post-implementation reviews and continuous improvement efforts.

Required Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or related field.
  • 10+ years of experience managing BI or Data Analytics projects.
  • Strong understanding of Data Warehousing and ETL processes.
  • Experience managing BI tools such as:
    • Power BI
    • Tableau
    • Looker
    • MicroStrategy
  • Hands-on experience with SQL and data analysis concepts.
  • Experience working in Agile or Scrum environments.
  • Strong communication and stakeholder management skills.
  • Proven ability to manage multiple projects simultaneously.

Preferred Qualifications:

  • Experience in Retail, Hospitality, or Entertainment industry.
  • Familiarity with cloud platformssuch as:
    • AWS
    • Azure
    • Google Cloud Platform
  • PMP, Scrum Master, or Agile certification preferred.
  • Experience working with large-scale enterprise reporting systems.
  • Knowledge of data governance and data quality frameworks.

Technical Skills:

  • BI Tools: Power BI, Tableau, Looker.
  • Databases: SQL Server, Oracle, Snowflake.
  • ETL Tools: Informatica, Talend, SSIS.
  • Project Tools: Jira, Confluence, MS Project.
  • Cloud Platforms: AWS, Azure.
  • Methodologies: Agile, Scrum, Waterfall.