Learning Technology Support Consultant (7584U), Haas School of Business - 84866About Berkeley

At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.

As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value.

We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles, Principles of Community, and Strategic Plan.

At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley.

Departmental Overview

As the second oldest business school in the United States, UC Berkeley Haas has been redefining business education since 1898. Situated in the heart of Bay Area innovation and rooted in UC Berkeley's public mission, we're a place where ambition meets purpose and innovation meets impact. We develop leaders who challenge assumptions, ask the right questions, and make business better. What sets us apart is our focus on the human edge: judgment, rigor, ingenuity, conviction, and confidence. Our 'One Haas' culture is collaborative and unified, bound by four Defining Leadership Principles: Question the Status Quo, Confidence Without Attitude, Students Always, Beyond Yourself. Join us in moving business and society forward.

For more information about the Haas School of Business visit: https://haas.berkeley.edu/about/

Haas Digital is at the forefront of the school's digital transformation, focusing on enriching and expanding the reach of Berkeley Haas' world-class learning experience through innovative pedagogy and advanced educational technology. Our mission is to lead the integration of emerging technologies-with a strategic focus on Generative AI and adaptive learning-to create immersive, high-impact online and hybrid offerings. Our team of professionals leverages deep expertise in learning science and systems architecture to build the 'One Haas' toolset, ensuring Berkeley Haas remains a global leader in digital business education. For more information about the Haas School of Business visit: https://haas.berkeley.edu/about/

The Haas School of Business embraces flexible working arrangements for its employees. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.

Application Review Date

The First Review Date for this job is: 03/24/2026.

Responsibilities

The Learning Technology Support Consultant (BSA 3) provides technology-based analysis of digital learning practices, processes, and problems within the Haas School of Business. This position exists to bridge the gap between pedagogical goals and technical execution by developing solutions that involve process design, data and information architecture, and software integration. The role is responsible for creating specifications for learning systems, validating requirements against instructional needs, and designing automated workflows to enhance operational efficiency. This position exists to ensure the technical resilience of the 'foundation-layer' ecosystem (LMS and Video CMS) while planning and executing unit integration and user acceptance testing for emerging tools, including AI-driven platforms.

LMS and Core Ecosystem Administration Serves as a primary functional lead for the Berkeley Haas LMS (bCourses/Canvas) and Panopto, ensuring operational stability.

• Manages the setup and maintenance of third-party integrations (LTIs), ensuring compliance with University security and privacy requirements (FERPA).
• Proactively identifies and resolves complex system issues and provides advanced technical troubleshooting to maintain high service levels for faculty and students.

Faculty Support and Instructional Consultation Coordinates and facilitates faculty workshops and one-on-one consultations to support the adoption of innovative instructional tools.

• Maintains the Haas Digital knowledge base and prepares strategic communications to share best practices.
• Collaborates with Learning Experience (LX) designers to assess the technical feasibility of instructional designs, ensuring pedagogical goals are supported by stable technology.

Project Coordination and EdTech Implementation:

• Coordinates the technical rollout of established AI initiatives and emerging educational tools.
• Provides the technical infrastructure and support needed for faculty pilots, ensuring accessibility and security vetting is completed.
• Manages technical relationships with vendors to ensure Haas-specific requirements are addressed during implementation phases.

Learning Analytics and Data Reporting Develops and maintains data reporting frameworks to measure the adoption and engagement levels of technology initiatives.

• Benchmarks usage statistics using LTI and native platform analytics.
• Creates data visualizations and dashboards (via Tableau or similar tools) to provide insights that support school-wide decision-making regarding the 'One Haas' toolset.

Virtual Instruction and Technical Support: Provides technical oversight for virtual classroom platform configurations, specifically Zoom and Panopto integrations.

• Collaborates with AV Engineering to ensure alignment between physical classroom hardware and instructional software.
• Partners with support specialists to assist in the delivery of live online sessions, ensuring reliable performance and lecture capture health.

Professional Learning and Growth

• Actively contributes to a team environment that fosters and promotes a culture of belonging for all, within the unit and at Haas. Exemplifies Haas' four Defining Leadership Principles: (1) Question the status quo; (2) Confidence without attitude; (3) Students always; and (4) Beyond yourself.
• Completes required training on time and engages in opportunities for learning pertinent to the position or at the suggestion of the supervisor.

Other duties as assigned.

Required Qualifications

• Strong proficiency in Learning Management Systems (LMS).
• Proficiency in Google Workspace or similar productivity software.
• Proficiency in HTML/CSS for content formatting within Canvas and other web environments.
• Familiarity with scripting (e.g., Python, JavaScript, or Apps Script) to automate course creation workflows and improve operational efficiency.
• Demonstrated experience in leveraging AI tools to automate personal workflows and enhance the quality of technical deliverables.
• Technical understanding of AI-driven educational tools, including the ability to support RAG-based tutoring systems, no-code application builders, and the implementation of secure AI environments.
• Ability to participate in the technical evaluation of new tools for pedagogical benefit.
• Strong proficiency in data collection and analysis, including experience interacting with REST APIs (e.g., Canvas API) to extract data and automate reporting tasks.
• Demonstrated skill in using visualization tools (e.g., Tableau, Power BI, or Looker Studio) to report on system adoption and educational impact.
• In-depth understanding and skill in process and systems requirement documentation standards, such as Use Case modeling, User Story creations and narrative description.
• Working knowledge of LTI (Learning Tools Interoperability) standards to manage third-party integrations.
• Thorough knowledge of student data privacy regulations (FERPA) and/or can quickly learn University security policies regarding institutional information.
• Demonstrated skill in managing the full technical lifecycle of technology implementations, including advanced test planning, unit integration, and user acceptance testing (UAT).
• Consistently refines work processes and project methodologies through the adoption of modern productivity tools and AI-integrated workflows.
• Demonstrated ability to work effectively and collaborate with individuals and groups from a wide range of backgrounds, experiences, and perspectives.
• Self-motivated and works independently and as part of a team.
• Able to learn effectively and meet deadlines.
• Demonstrates problem solving skills.
• Thorough knowledge of and/or can quickly learn business processes and procedures.
• Demonstrated effective communication and interpersonal skills.
• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization including through leading workshops and consultations with faculty.
• Interpersonal and communications skills to work with both technical and non-technical personnel at various levels in the organization.
• Technical Support & Service: Experience using and troubleshooting web conferencing tools (preferably Zoom) and ticketing platforms such as ServiceNow or Zendesk.
• Ability to work with the Virtual Classroom Support Specialist to assist in live session delivery.
• Excellent interpersonal skills, demonstrating a desire to establish and maintain positive & professional working relationships with colleagues, students and team members.
• Exemplifies Haas' four Defining Leadership Principles: (1) Question the status quo; (2) Confidence without attitude; (3) Students always; and (4) Beyond yourself.

Education/Training

• Bachelor's degree in related area and/or equivalent experience/training.

Preferred Qualifications

• Strong proficiency in Learning Management Systems (LMS), Canvas (bCourses), and integrated video content management systems such as Panopto.
• Familiarity with instructional design frameworks (e.g., ADDIE) and pedagogical principles; proficiency in data manipulation languages (e.g., SQL, Python) for complex data cleaning.
• Certified Canvas Educator or Canvas Administrator certification.
• Certification in Tableau (Desktop Specialist or Data Analyst) or Google Data Studio.

Salary & Benefits

For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.

Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.

• This is a full-time (40 hours/week), career position that is eligible for UC Benefits.
• This is an exempt monthly-paid position.

How to Apply

• To apply, please submit your resume and cover letter.

Other Information

• This is not a visa opportunity. This position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

Conviction History Background

This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.



SB 791 and AB 810 Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.

'Misconduct' means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:

UC Sexual Violence and Sexual Harassment Policy

UC Anti-Discrimination Policy

Abusive Conduct in the Workplace

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.


To apply, visit https://careerspub.universityofcalifornia.edu/psc/ucb/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=84866&PostingSeq=1&SiteId=21&languageCd=ENG&FOCUS=Applicant









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