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About the Role

The Director of Learning Design, Assessment, and Emerging Technology leads the learning design and assessment function for the university’s online, hybrid and AI-enabled courses across every school and program. This role is responsible for course standards, readiness reviews, assessment validity and reliability, and the design methodology behind the university’s course model. The Director manages a team, directs their work, and advises academic leadership on curriculum and faculty development.

Responsibilities

Define the quality standard for digital courses, including content accuracy, alignment of outcomes, activities and assessments, assignment and rubric quality, and accessibility.
Lead launch readiness, including the standard, pre-launch review, and determination of course readiness.
Lead design delivery, including course design documentation, staff work, and acceptance of developed courses.
Serve as the primary design liaison to programs and faculty, and manage a personal design load on complex courses.
Contribute to the institutional course standard and design methodology, and report on implementation findings.
Recruit, hire, direct, develop, and evaluate learning design and technology staff, and set clear role ownership.
Implement design and quality standards by writing review instruments and guides, training staff, and reporting conformance.
Ensure standards cover regular and substantive interaction, accessibility, assessment design, AI use and disclosure, and accreditation evidence.
Direct the team against the course development process, allocate design capacity, specify contracted work, and manage risks.
Partner with relevant departments on course requirements.
Manage the department’s professional development and learning technology budget.
Lead the university’s approach to assuring the validity and reliability of course assessment, including AI-assisted scoring.
Set standards for assessment design, rubric quality, and scoring consistency.
Apply educational measurement methods, design measurements, and interpret results.
Set responsible-use requirements for AI in assessment and produce assessment evidence for accreditation.
Investigate open design questions and deliver options with recommendations.
Evaluate course outcomes, grade and completion patterns, engagement, and student experience.
Conduct experiments in live courses and report findings.
Conduct applied research on AI-enabled learning with external partners toward publication.
Support faculty research on their own teaching.
Represent the university’s work externally.
Evaluate emerging tools against the course model and recommend adoption.
Maintain AI-assisted design tools and faculty guidance.
Advise programs, deans, and academic leadership on curriculum and program design, revision, and outcomes mapping.
Lead course and program evaluation for academic partners, including formative student feedback.
Maintain intake and prioritization for requests, ensuring they are scoped and sequenced against production commitments.

Requirements

Master’s degree in instructional design, education, educational measurement, learning science or a related field.
Seven or more years in instructional or learning design in higher education.
Three or more years supervising designers or learning technologists.
Demonstrated expertise in course design and instructional design models, learning management systems, and course design documentation at program scale.
Experience with assessment design, rubric development, and the validation of scoring, including inter-rater reliability.
Experience applying generative AI to course design, assessment or faculty support, with sound judgment about its limits.
Working knowledge of accessibility standards, regular and substantive interaction requirements, student privacy law, and accreditation expectations for learning outcomes evidence.
Experience teaching online or hybrid courses.
Experience setting standards that others apply, and reporting on quality to academic leadership.
Graduate training in measurement, evaluation or research methods.
Experience building programs with an external education partner, including setting the standards the partner must meet.
Learning analytics experience.
Quality Matters, OLC or comparable credentials.
A record of conference presentation or publication.

Skills

Instructional design
Learning design
Assessment design
Educational measurement
Learning science
Learning management systems
Course design documentation
Rubric development
Scoring validation
Inter-rater reliability
Generative AI application
Accessibility standards
Regular and substantive interaction
Student privacy law
Accreditation expectations
Online course delivery
Hybrid course delivery
Curriculum design
Program design
Outcomes mapping
Learning analytics
Quality Matters
OLC

Location

San Francisco, CA

Work Type

Full-time
Exempt
Remote

Experience Level

Director band
Seven or more years in instructional or learning design in higher education
Three or more years supervising designers or learning technologists

Education Level

Master's degree in instructional design, education, educational measurement, learning science or a related field
Graduate training in measurement, evaluation or research methods

Salary/Compensations

$140000.00 - $140000.00/year

About the Company

Golden Gate University is an equal opportunity employer.
We support inclusive excellence and are committed to creating a safe and welcoming community for all.
The University has a strong commitment to the principles of diversity and inclusion, and to maintaining working and learning environments that reinforces these practices.
The University welcomes and encourages applications from all demographics.

Equal Opportunity

University policy prohibits discrimination based on race, color, religion/creed, national origin, ancestry, age, sex/gender, sexual orientation, marital status, medical condition, physical or mental disability, gender stereotyping, and gender identity, gender expression, military or veteran status, taking a protected leave (e.g., family medical or pregnancy leave), or on any other basis protected by applicable laws.