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Business Intelligence Manager Jobs in Addison, TX

MCKESSON

Sr. Manager, Business Intelligence

Irving, TX · On-site

... management experience. Critical Skills * 9+ years of experience in data analytics, business intelligence, or performance analytics * 1+ years of people leadership experience * Strong experience ...

BIG TEX TRAILER MANUFACTURING LLC

Business Intelligence Architect Job Overview The Business Intelligence Architect owns the data ... Manage workspace permissions and row-level security to ensure appropriate data access. Education ...

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Business Intelligence Manager information

See Addison, TX salary details

$28.6K

$110.6K

$162.2K

How much do business intelligence manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for business intelligence manager in Addison, TX is $110,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $137,900.00 per year, depending on experience, location, and employer.

What does a business intelligence manager do?

A Business Intelligence (BI) Manager oversees the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead BI teams, design data strategies, and implement systems that transform raw data into actionable insights. BI Managers collaborate with other departments to identify data needs and ensure data quality, while also presenting findings to stakeholders. Their work supports strategic planning, operational efficiency, and competitive advantage.

What does a business intelligence manager do?

A business intelligence manager uses data analysis to advise and execute decisions for a company. As a business intelligence manager, you are in charge of managing data analysts and developers. Your duties may include assessing company needs, gathering information, and reporting on industry trends to the rest of management. You also oversee performance management in your department as well. To succeed in this career, you must be skilled in data analysis and team management. You must also be good at conducting research and making suggestions to improve company processes.

What are the key skills and qualifications needed to thrive as a business intelligence manager?

To thrive as a Business Intelligence Manager, you need expertise in data analysis, data modeling, and business strategy, usually backed by a degree in a related field and experience in BI or analytics roles. Proficiency with BI tools such as Tableau, Power BI, SQL, and data warehousing systems is typically required, and certifications like CBIP can be advantageous. Strong leadership, communication, and problem-solving skills help you translate complex data into actionable insights for stakeholders. These skills are crucial for delivering data-driven strategies that support business growth and informed decision-making.

How does a business intelligence manager typically collaborate with other departments to drive data-driven decision making?

A Business Intelligence Manager regularly partners with teams such as marketing, finance, operations, and IT to identify key business questions and deliver actionable insights. The role involves leading cross-functional meetings to understand data needs, designing dashboards or reports tailored to each department, and translating complex data findings into clear recommendations. Effective collaboration ensures that BI initiatives align with organizational goals and that stakeholders are empowered to make informed decisions. Building strong relationships and maintaining open communication channels are crucial for success in this role.

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

AspectBusiness Intelligence ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, IT, or related fields; often certifications in BI toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads BI teams, manages projects, collaborates with executivesAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageUsed across industries for strategic insightsUsed for operational analysis and reporting
Common Search & Comparison IntentUnderstanding roles, responsibilities, and career pathsClarifying data analysis tasks and skills

The Business Intelligence Manager oversees BI teams and strategies, focusing on high-level data insights for decision-makers. Data Analysts primarily analyze data sets to generate reports and support operational decisions. While both roles require analytical skills and familiarity with BI tools, the manager has broader responsibilities including team leadership and strategic planning.

How much do business intelligence managers make?

Business Intelligence Managers in the US typically earn a median salary of around $100,000 to $130,000 per year, with experienced professionals and those in high-demand industries earning higher. Compensation can vary based on location, experience, certifications, and company size, and many roles require proficiency in tools like SQL, Tableau, or Power BI.

Is business intelligence still in demand?

Business Intelligence Managers are in high demand as organizations increasingly rely on data analytics to inform decision-making. Skills in data visualization tools, SQL, and data warehousing are valuable, and the role is expected to grow with the expansion of big data and digital transformation initiatives.
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Business Intelligence Manager jobs near you
Infographic showing various Business Intelligence Manager job openings in Addison, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $110,610 per year, or $53.2 per hour.

Business Intelligence Architect

Globalfoundries

Richardson, TX

$124K - $208K/yr

Full-time

Posted 18 days ago

GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

66th of 545 rated manufacturers

Job description

About GlobalFoundries:

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Summary of Role:

The Business Intelligence Architect leads the strategy, governance, delivery, and adoption of enterprise business intelligence and analytics capabilities across global corporate and manufacturing organizations. This role is responsible for enabling data-driven decision making at scale through the modernization of enterprise analytics platforms, development of self-service capabilities, and deployment of AI-powered business intelligence solutions.

Serving as a strategic partner to executive leadership, the role drives enterprise transformation through Microsoft Fabric, Power BI, Microsoft 365 Copilot, Copilot for Power BI, and related technologies. The position balances business strategy, technology leadership, organizational change management, and talent development to deliver measurable business value while establishing scalable, governed, and secure analytics ecosystems.

Essential Responsibilities:

  • Be a technical lead on a global team responsible for business intelligence development, analytics engineering, and reporting platforms supporting manufacturing, supply chain, finance, HR, commercial operations, engineering, and corporate functions.
  • Foster a culture of innovation, continuous improvement, operational excellence, and data-driven decision making across the enterprise.
  • Own Microsoft Fabric and PowerBI platforms for the enterprise, including platform strategy, architecture, governance, security, adoption, and operational excellence.
  • Drive modernization of legacy analytics environments through cloud-first architectures, platform consolidation, and technical debt reduction initiatives.
  • Establish enterprise governance frameworks for reporting standards, semantic models, data visualization, and citizen development programs.
  • Lead enterprise adoption of self-service analytics by developing reusable semantic models, training programs, and enablement frameworks.
  • Influence organizational change management efforts to increase adoption of new technologies, analytics platforms, and AI-powered capabilities.

Other Responsibilities:

  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

  • Proven success partnering with globally distributed technical teams and cross-functional transformation initiatives.
  • Strong executive stakeholder management and strategic consulting capabilities.
  • Experience influencing decisions across multiple business units and functions.
  • Strong change management, communication, coaching, and talent development skills.
  • Ability to build high-performing teams and scale organizational capabilities.
  • Expertise in enterprise business intelligence, analytics architecture, reporting, and performance management.
  • Experience designing and governing enterprise self-service analytics ecosystems.
  • Strong knowledge of data modeling, semantic layer design, KPI frameworks, and analytics governance.
  • Experience supporting large-scale global user communities with diverse analytics needs.

Technology and Platform Experience

  • Microsoft Power BI and Fabric Capacity Management, QlikView
  • Semantic Models, Dataflows
  • Enterprise Reporting Platforms
  • Analytics Governance Frameworks
  • Microsoft 365 Copilot, Copilot Studio
  • Copilot for Power BI, Microsoft Fabric Data Agents
  • Familiarity with ETL/ELT Frameworks, Cloud Data Warehousing Technologies
  • SQL

Preferred Qualifications

  • 7+ years in a technical leadership role with proven experience in business intelligence development, design, performance tuning and optimization
  • Bachelor's degree in Information Systems, Computer Science, Engineering, Data Analytics, Business, or a related field.
  • Advanced degree in Business Administration, Data Science, Analytics, Information Technology, or a related discipline preferred.
  • Experience leading enterprise-scale business intelligence, analytics, data platform, and transformation programs.
  • Experience within global manufacturing, semiconductor, technology, or industrial organizations.
  • Demonstrated success implementing Microsoft Fabric, Power BI, enterprise cloud analytics platforms, and AI enablement initiatives.
  • Experience establishing enterprise governance models for analytics, AI, and self-service data platforms.
  • Industry certifications related to Microsoft Fabric, Power BI, Azure, AI, data architecture, or enterprise technology leadership.

Expected Salary Range

$124,000.00 - $208,000.00

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

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