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Business Intelligence Program Manager Jobs in Tennessee

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Program Manager

Nashville, TN · On-site

... intellectual and developmental disabilities. This person will support teams with day-to-day ... Schedule may change due to business needs and may include evening and weekend hours * May be ...

Community options

Program Manager

Nashville, TN · On-site

Experience supporting individuals with intellectual or developmental disabilities * Knowledge of ... Schedule may change due to business needs and may include evening and weekend hours * May be ...

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All JobsBusiness Intelligence Program JobsBusiness Intelligence Program Manager JobsBusiness Intelligence Program Manager Jobs in Tennessee

Business Intelligence Program Manager information

See Tennessee salary details

$26.8K

$103.7K

$152K

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

As of Jul 27, 2026, the average yearly pay for business intelligence program manager in Tennessee is $103,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $129,300.00 per year, depending on experience, location, and employer.

How does a Business Intelligence Program Manager typically collaborate with cross-functional teams to drive data initiatives?

A Business Intelligence Program Manager often works closely with data analysts, IT developers, business stakeholders, and executive leadership to align BI projects with organizational goals. They facilitate communication across departments, ensuring that technical solutions meet the needs of end-users and support strategic decision-making. Regular meetings, status updates, and workshops are common to gather requirements, track progress, and address challenges. This collaborative approach helps ensure that data initiatives are both technically sound and business-relevant.

What does a Business Intelligence Program Manager do?

A Business Intelligence Program Manager oversees the planning, implementation, and management of BI projects and initiatives within an organization. They coordinate teams of analysts, data engineers, and stakeholders to ensure business data is collected, analyzed, and translated into actionable insights. Their responsibilities often include developing BI strategies, managing project timelines and budgets, and ensuring data solutions align with business goals. By effectively managing BI programs, they help organizations make informed decisions and drive business growth.

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

To thrive as a Business Intelligence Program Manager, you need expertise in data analytics, project management, and a background in business or information systems, often with a relevant degree or certification like PMP or CBIP. Familiarity with BI tools such as Tableau, Power BI, SQL, and data warehousing platforms is typically required. Strong leadership, communication, and stakeholder management skills help drive cross-functional collaboration and ensure project success. These competencies are crucial for transforming data insights into actionable strategies that support organizational goals.

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

AspectBusiness Intelligence Program ManagerData Analyst
CredentialsTypically requires a bachelor’s degree in IT, Business, or related field; often certifications like CBIP or PMPUsually holds a bachelor’s degree in Statistics, Mathematics, or related field; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentLeads cross-functional teams, manages projects, and aligns BI initiatives with business goalsAnalyzes data sets, creates reports, and provides insights to support decision-making
Employer & Industry UsageUsed in corporate settings across industries to oversee BI projects and strategiesCommonly employed in various industries for data analysis and reporting tasks

The Business Intelligence Program Manager focuses on managing BI projects and teams to implement strategic data solutions, while the Data Analyst primarily analyzes data and generates reports to support business decisions. Both roles require strong analytical skills but differ in scope and responsibilities.

Business Intelligence Program Manager jobs near you
Infographic showing various Business Intelligence Program Manager job openings in Tennessee as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,705 per year, or $49.9 per hour.

Business Intelligence Analyst

RJV Equipment LLC

La Vergne, TN • On-site

Full-time

Posted 26 days ago

Job description

Business Intelligence Analyst – Hills Machinery Equipment – Charleston, SC (Remote)

Job Description

Business Intelligence Analyst

This position will support the business analytics needs of the overall organization. This new team member may be based anywhere in the United States and offers a remote/hybrid work option but must be able to meet with management in person at least quarterly.

As a BI Analyst, you will use your data expertise to help departments throughout the company with analytics needs. These projects are wide ranging and could include anything from finance and collections to telematics and fleet data.

Essential Functions:

  • Become a technical data and reporting expert in a variety of areas to refine and troubleshoot reporting requirements working across teams
  • Build complex queries and data models based on reporting requirements with minimal errors
  • Produce and support dashboards and reports used across the organization
  • Use your strong development and analytical skills to ideate and solve business problems
  • Special projects as needed

Qualifications:

  • At least 2 years of experience programming in SQL, T-SQL development methodologies
  • At least 2 years of experience designing business intelligence reports (e.g. Looker, PowerBI, Tableau, Qlik, etc.)
  • Knowledge of an analytical language like Python or R is a plus
  • Strong attention to detail and quality assurance process
  • Must possess effective verbal and written communication skills
  • Proven ability to independently approach complex problems with curiosity and an analytical mindset
  • A keen understanding of data interpretation and the ability to swiftly extract key insight