Remotery

Advanced Specialist, Customer Success – Faculty Advisor, Mathematics and Statistics

atPearson VUERemoteUS flagUnited StatesFull-timeCustomer SuccessMid-levelSenior$68k – $73k/year

Posted 2 days ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with course-level administrators to provide guidance on the integration and implementation of Pearson digital products that support educational objectives.

• Advise on strategies for digital assessment, grading, and reporting, including best practices for utilizing MyLab in instruction.

• Work with customers to modify or create tailored content.

• Develop training resources specific to departments, which may include videos, guides, and both live and recorded webinars.

• Consult with Product teams regarding new platforms, tools, and features.

• Collaborate with Sales on promotional campaigns, calls, meetings, demonstrations, and initiatives for sales enablement.

• Utilize success metrics and reporting frameworks to document recommendations and the progression of course design and implementation for both customers and internal stakeholders.

• Provide faculty at designated accounts with the necessary skills and information to enhance the impact of Pearson digital products each term.

• Conduct face-to-face and virtual training sessions or workshops, and create tutorials or videos specific to implementation.

• Investigate and address inquiries with responses tailored to the audience and purpose.

• Establish and utilize milestones, rubrics, and reporting templates to monitor growth and success.

• Collaborate with other teams by sharing insights and feedback from an instructor's perspective.


⛳️ Requirements

• A Master's degree in Statistics is mandatory.

• A minimum of 5 years of full-time collegiate teaching experience in Statistics is essential.

• Proficient user experience with Pearson MyLab is required.

• Preferred knowledge and experience across various fields in Mathematics and Statistics.

• Experience in Data Science and/or Engineering is highly desirable.

• Online teaching experience is preferred.

• Familiarity with Learning Management Systems (LMS) is preferred.

• Experience with Copilot and other Generative AI tools is a plus.

• Ability to engage with international customers across different time zones is advantageous.

• Experience presenting at conferences, department meetings, and events.

• Holding Collegiate Teaching Award(s) is a plus.


🏝️ Benefits

• Some travel may be required to conduct face-to-face training and implementation workshops, as well as to attend relevant conferences and internal meetings.

• Flexibility in scheduling to accommodate teaching commitments may be possible.

• Commitment of 40 hours per week.

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