CSUF Internal Careers Listing

Job Title

Business Intelligence Architect

Classification

Data Analytics Developer IV

Auto Req. ID

559131

Salary Range

Classification Range $8,231 - $11,990 per month

(Hiring range depending on qualifications, not anticipated to exceed $8,231 - $11,755 per month)

Work Schedule

Monday - Friday, 8:00 AM - 5:00 PM         

Why CSUF

California State University, Fullerton (Cal State Fullerton) is a leading public university committed to student success, academic excellence, and inclusive excellence. The university fosters a collaborative environment that supports teaching, research, and service while promoting innovation and professional growth. Cal State Fullerton is both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution, and a recipient of the Seal of Excelencia (2021 and 2024) from Excelencia in Education. Joining Cal State Fullerton means becoming part of a community dedicated to advancing student achievement, career success, and economic mobility.

Department

The Division of Information Technology (IT) strives to be a strategic, innovative and best‐in‐class IT organization that provides a leading‐edge technology environment for students, faculty, and staff to advance the University’s mission, vision and goals. We are seeking an exceptional individual to join our Analytic Services department as the Business Intelligence Architect (Data Analytics Developer IV). The ideal candidate in this role should have a positive attitude and an active, energetic mind characterized by highly ethical practices and a commitment to inclusivity, openness, flexibility, integrity, and kindness.

Duties and Responsibilities

Working primarily independently with minimal supervision, the Business Intelligence Architect serves as the campus technical expert and strategic leader for enterprise data analytics architecture, governance, business intelligence solutions, and institutional reporting systems. Develops and executes enterprise data analytics strategies aligned with university goals and objectives and provides consultative leadership in the conceptualization, integration, implementation, and optimization of advanced analytics systems and tools. Leads high-impact campus-wide analytics initiatives and collaborates with executive leadership, campus stakeholders, and cross-functional IT teams to establish enterprise data governance frameworks, reporting standards, and strategic analytics roadmaps. The position serves as the primary architect and subject matter expert for the university’s enterprise data warehouse, cloud analytics ecosystem, and institutional business intelligence platforms.

The Business Intelligence Architect is responsible for the design, implementation, integration, security, governance, and continuous improvement of enterprise analytics solutions including Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT) pipelines, advanced data models, statistical analyses, predictive analytics capabilities, dashboards, and institutional reporting systems. The role exercises expert judgment in evaluating emerging technologies, recommending enterprise analytics strategies, and implementing scalable, secure, and sustainable data solutions. Leads and directs data analytics developers and project teams, establishes development standards and governance protocols, oversees enterprise analytics project planning and execution, and ensures compliance with university policies, data governance regulations, accessibility requirements, cybersecurity standards, and CSU systemwide initiatives.

The Business Intelligence Architect works with a high degree of autonomy and provides strategic guidance to campus leadership regarding short-term and long-term data analytics initiatives, institutional effectiveness strategies, and enterprise reporting capabilities. Other duties as assigned.

Essential Qualifications

Equivalent to a bachelor’s degree in a related field and five years of relevant experience. Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown above may be substituted for the required education on a year-for-year basis. An advanced degree in a related field may be substituted for the required experience on a year-for-year basis.

Working primarily independently with minimal supervision, utilizes expert knowledge of data analytics systems and organizational needs to develop and deliver data analytics strategies and solutions aligned with organization goals and objectives. Collaborates with cross-functional teams and leads data analytics systems projects. Problems are highly complex and may require the creation of new procedures and techniques. Serves as a consultative expert in the conceptualization and implementation of data analytics systems and tools. Decision-making often requires expert knowledge on data analytics design best practices; in-depth knowledge of university and information technology policies, guidelines, and protocols; as well as an understanding of university strategies and goals. Work often requires a high degree of technical expertise, persuasion, and leadership.

Expert knowledge of data manipulation, transformation, and analysis using advanced programming libraries or frameworks. Expert knowledge of data modeling, statistical analysis, machine learning, and optimization techniques. Expert in leading and executing complex and high impact data analytics projects and initiatives. Expert in data operations standards. Expertise in data security architectures, ensuring regulatory compliance, and ability to recommend and implement data governance strategies. Expert knowledge and skill in applying and interpreting technology policies, protocols, and standards, as well as data governance best practices. As appropriate, recommends data governance protocols and strategies. Expert project planning, organizational, and time management skills to plan, organize, prioritize, and manage multiple projects. Expert communication and interpersonal skills to develop and drive strategic data analytics initiatives and persuade management and cross-functional stakeholders. Expert in independently applying advanced judgment to solve difficult and complex problems and issues. Expert skill in mentoring and overseeing the work of other data analytics developers.

A background check (including a criminal records check) must be completed satisfactorily and is required for employment. CSU will make a conditional offer of employment, which may be rescinded if the background check reveals disqualifying information, and/or it is discovered that the candidate knowingly withheld or falsified information. Failure to complete the background check satisfactorily may affect the continued employment of a current CSU employee who was conditionally offered the position.  

Preferred Qualifications

Possess expert knowledge of enterprise data analytics principles, methodologies, technologies, and best practices, including advanced data modeling, data warehousing, statistical analysis, predictive analytics, machine learning, optimization techniques, and cloud-based analytics architectures. The position requires extensive expertise in the design and implementation of scalable enterprise data solutions, ETL/ELT frameworks, automation pipelines, and advanced reporting and visualization systems.

The successful candidate must demonstrate expert-level proficiency in data manipulation, cleansing, transformation, validation, integration, and analysis using advanced programming languages, scripting tools, and enterprise analytics platforms. Possess thorough knowledge of data governance methodologies, metadata management, data quality standards, security frameworks, privacy regulations, and institutional compliance requirements necessary to support enterprise analytics environments.

Ability to independently research, analyze, conceptualize, and implement innovative data analytics solutions to address highly complex institutional, operational, and strategic business needs. Ability to translate functional and strategic business requirements into technical specifications, enterprise data models, and actionable reporting solutions that support executive decision-making and institutional effectiveness initiatives. Expert project leadership and organizational skills with the ability to lead large-scale, high-impact analytics initiatives involving multiple stakeholders, competing priorities, and complex technical dependencies are expected. Demonstrated ability to develop strategic analytics roadmaps, establish project timelines, coordinate cross-functional technical teams, oversee implementation activities, and ensure alignment with university objectives, technology standards, and governance requirements.

Exceptional communication, presentation, consultation, and interpersonal skills are required to effectively collaborate with executive leadership, faculty, staff, technical teams, vendors, and campus stakeholders. Demonstrate the ability to present technical concepts and strategic recommendations clearly and persuasively, facilitate consensus among various stakeholder groups, and influence the adoption of enterprise analytics strategies, governance standards, and best practices.

Have expert leadership and mentoring abilities, including the capability to provide technical direction, guidance, training, and oversight to other data analytics developers and project team members. Ability to foster a collaborative, service-oriented, and innovative work environment while promoting continuous improvement, operational excellence, data integrity, security, accessibility, and compliance across enterprise analytics initiatives.

Experience with enterprise cloud analytics ecosystems and business intelligence technologies such as AWS analytics services, SQL, R, PySparc, AWS Glue, AWS S3, AWS Athena, AWS QuickSight (AWS Quick), AWS Redshift, Oracle DB, Tableau, Apache SuperSet, and AWS Cloud Formation, and related enterprise reporting and visualization platforms is highly desirable. Experience working within a higher education environment, particularly within the California State University system, and familiarity with Oracle PeopleSoft Campus Solutions and institutional reporting practices are preferred. Strong knowledge of accessibility standards, cybersecurity principles, compliance requirements, and enterprise documentation standards is also highly desirable.

License/Certifications

A valid California driver’s license.  

Special Working Conditions

Notice of Non-Discrimination on the Basis of Gender or Sex and Contact Information for Title IX Coordinator

Benefits at a Glance

• An array of health plans that include prescription drug coverage
• Dental and Vision coverage
• Income protection benefits including life insurance and disability
• Retirement plan through CalPERS
• Tuition waiver for employees and dependents if eligible
• FlexCash (in lieu of health and dental)
• Employee Assistance Programs
• 15 paid holidays

See our CSUF Benefits website for additional information.

Additional Information

California State University, Fullerton is committed to fostering an environment where students, staff, administrators, and faculty thrive. We welcome individuals ready to make an impact on student and staff success to apply and become part of the Titan Community. Reasonable accommodations will be provided for qualified applicants with disabilities who self-disclose.

Cal State Fullerton is an equal opportunity employer that prohibits discrimination based on regardless of race, sex, color, ethnicity, national origin, or any other protected status.

As of January 1, 2022, the CSU Out-of-State Employment Policy prohibits the hiring of employees to perform CSU-related work outside the state of California.

The person holding this position is considered a general mandated reporter under the California Child Abuse and Neglect Reporting Act and must comply with the requirement outlined in CSU Executive Order 1083, revised July 21, 2017.

Applicants will be required to disclose whether they have received a final administrative decision or final judicial decision determining that they have committed sexual harassment within the last 7 years only after a determination is made that they meet the minimum qualifications for the position, and before an offer of employment is extended. Applicants who reach the final stages of the application process must also sign a release form that authorizes the release of information by the applicant’s current and/or former employers to the CSU concerning any substantiated allegations of misconduct.

Multiple positions may be hired from this recruitment based on the strength of the applicant pool.

If you are applying for a staff position, please note that you are not eligible to work concurrently in a staff position and an Academic Student position such as a Graduate Assistant, Teaching Associate, Instructional Student Assistant, or Student Assistant position.

Regular attendance is considered an essential job function; the inability to meet attendance requirements may preclude the employee from retaining employment.

Employee/applicant who applies for a position may be required to successfully complete job-related performance test(s) as part of the selection process.  

Online application/resume must be received by electronic submission on the final filing date by 9:00 PM (Pacific Standard Time)/midnight (Eastern Standard Time). Applicants who fail to complete all sections of the online application form will be disqualified from consideration. 

California State University, Fullerton is not currently sponsoring any new H-1B petitions for staff, management, or faculty positions.

Effective October 1, 2025, the California State University (CSU) will implement a salary step structure for CSUEU-represented employees in bargaining units 2, 5, 7, and 9. This position may be subject to changes resulting from this implementation, in alignment with the provisions of the collective bargaining agreement.

Hiring Preference

On-Campus CSUEU Employees