Manager, Learning Quality & Assessment

Edversity is a technology education company dedicated to preparing learners for careers in rapidly growing tech fields such as Artificial Intelligence, Cybersecurity, Data Engineering, Cloud Computing, Blockchain, and other emerging technologies. Our programs emphasize practical learning through real-world projects, industry tools, and measurable skill development. As we expand our offerings and instructor network, we are seeking a Manager, Learning Quality & Assessment to ensure that every Edversity program consistently delivers strong technical learning outcomes. This role goes beyond traditional quality assurance, requiring close collaboration with curriculum teams, instructors, subject matter experts, and student success teams to evaluate course relevance, teaching effectiveness, assessment rigor, and alignment with promised competencies. The ideal candidate will have a strong technology background combined with experience in education, training, instructional design, curriculum development, or learning quality.

Key Responsibilities

Learning & Program Quality:
- Audit active and upcoming programs for learning quality, technical depth, and curriculum alignment.
- Review course structures, learning objectives, lesson plans, practical labs, projects, and assessments.
- Ensure a balanced approach between theoretical knowledge and hands-on technical learning.
- Identify gaps in course design, sequencing, technical depth, and learner progression.
- Establish and maintain Edversity’s learning quality standards across all programs.

Instructor Quality:
- Observe live classes and review recorded sessions to evaluate instructors on technical clarity, teaching effectiveness, practical demonstrations, engagement, and learner support.
- Develop and maintain instructor quality scorecards.
- Provide structured feedback and improvement recommendations.
- Identify instructors needing additional support, training, or intervention.

Assessment & Competency Quality:
- Review quizzes, assignments, labs, projects, and capstone assessments to ensure they measure real technical competency rather than rote memorization.
- Develop assessment rubrics and competency frameworks.
- Evaluate whether projects are portfolio-worthy and aligned with industry expectations.
- Monitor grading quality and consistency across instructors and cohorts.

Technical Curriculum Review:
- Review curricula across AI, Data, Cloud, Cybersecurity, Blockchain, and related technologies.
- Assess the relevance of tools, platforms, frameworks, and technologies taught.
- Collaborate with technical SMEs for deeper domain validation.
- Identify outdated content and recommend improvements.

Learning Analytics & Continuous Improvement:
- Track learner performance, assessment outcomes, completion rates, feedback, and quality indicators.
- Identify recurring learning challenges across cohorts.
- Produce regular learning quality reports for leadership.
- Recommend improvements based on data, instructor performance, and assessment results.
- Collaborate with Curriculum, Student Success, and Operations teams to address quality gaps.

Program Launch Quality Assurance:
- Review curriculum structure, technical learning outcomes, instructor readiness, practical labs, assignments, capstone projects, assessment rubrics, LMS content, learning resources, and learner prerequisites before launching new programs or cohorts.

Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, IT, Data Science, Cybersecurity, Engineering, or a related technical field.
- 3 to 5 years of relevant professional experience.
- Strong understanding of technology education and technical learning environments.
- Ability to review technical curricula, labs, projects, and assignments.
- Experience in at least one of the following areas: technical education, EdTech, curriculum development, instructional design, technical training, learning & development, or academic quality.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to provide constructive feedback to instructors and technical experts.
- Comfortable working with learning data, dashboards, and performance metrics.

Preferred Qualifications
- Hands-on experience with one or more of the following: Artificial Intelligence/Machine Learning, Python, Data Analytics/Data Engineering, Cloud Computing, Cybersecurity, Software Development, DevOps, Blockchain.
- Experience with LMS platforms and online learning environments.
- Experience developing assessments, rubrics, or competency frameworks.
- Familiarity with adult learning or instructional design principles.
- Experience working with industry-oriented certification or professional training programs.

This role is ideal for professionals who operate at the intersection of technology and education. Candidates currently working as technical instructors, instructional designers, curriculum developers, learning experience designers, academic managers, technical training managers, learning & development specialists, technical program managers, assessment specialists, or EdTech learning specialists will find this position particularly well-suited. We especially welcome those who have transitioned from hands-on technology roles into teaching, training, curriculum, or learning design.

Success in this role will be demonstrated by the ability to answer key questions such as: Are students truly developing the promised skills? Which instructors deliver the strongest outcomes? Which modules or programs need improvement? Are assignments and capstone projects sufficiently challenging? Can students apply concepts independently? Is the curriculum keeping pace with technological advancements? Are quality standards consistent across instructors and cohorts?