Lease Abstraction Specialist (P1-2231907-1)

Summary of Job Description:

The Lease Abstraction Specialist performs lease abstraction as well as trains and guides an AI platform to perform lease abstraction tasks. This position reviews, interprets, and abstracts critical information from commercial real estate leases, franchise agreements, and related documents such as CCRs, ensuring accuracy and completeness in all lease abstracts.

Job Responsibilities:

• Reviews, interprets, and abstracts critical information from commercial real estate leases, franchise agreements and related documents such as CCRs.
• Ensures accuracy and completeness of all lease abstracts, complying with company standards and guidelines.
• Collaborates with AI developers and engineers to train an AI platform for lease abstraction. Feeds AI models with sample leases, providing input on common lease structures and terminology. Reviews and corrects AI-generated abstracts to improve model performance over time. Conducts regular quality assurance tests of the AI platform, identifying areas for improvement and optimization
• Coordinates with internal teams and vendors to ensure smooth implementation of the AI platform, including all the updates.
• Prepares reports on abstracted data upon request and on lease abstraction progress and AI platform performance.
• Supports special projects as assigned.

How we reward you:

• Hybrid Work schedule
• 401K with company match
• Yearly bonus opportunity*
• Full medical, dental, and vision insurance *
• On-site fitness center, biometric screen, and flu shot clinic
• Discounts at Panda restaurants, theme parks, and gym memberships
• Paid time off starting at 15 days with 7 federal holidays*
• Continuous education assistance and scholarships*
• Income protection including Disability, Life and AD&D insurance*
• Bereavement leave*

*Benefits available for eligible permanent full time associates

Your background and experience:

• Bachelor's degree required, preferably in business, accounting, or real estate
• Paralegal certification is a plus
• Minimum three years of relevant experience; experience working with AI systems or automated tools in a legal or real estate setting preferred
• Successful completion of initial and periodically required trainings.
• Obtaining a valid Food Handler's Card within 30 days of employment is a requirement of this position.

Pay Range: P2: $72,500 - $101,500/ Annual

* Within the range, individual pay is determined using various factors, including work location and experience.

#LI-Hybrid

Panda Strong since 1983:

Founded in Glendale, California, we are now the largest family-owned American Chinese Restaurant concept in America. With close to 2,300 locations globally, we continue our mission of delivering exceptional Asian dining experiences by building an organization where people are inspired to better their lives. Whether it's impacting our team or the communities we work in, we're proud to be an organization that embraces family values.

You're wanted here:

Panda Restaurant Group, Inc. is an Equal Opportunity Employer and is committed to providing equal opportunity, and does not discriminate on the basis of any characteristic protected by law, including but not limited to sex/gender (including pregnancy, childbirth, lactation and related conditions), gender expression, race, color, religion, national origin, sexual orientation, gender identity, disability, age, ancestry, medical condition, genetic information, marital status, and veteran status. Additionally, Panda Restaurant Group, Inc. complies with all federal, state, and local laws regarding requests for workplace accommodation.The Americans with Disabilities Act (ADA) prohibits discrimination against qualified individuals on the basis of disability.Applicants are entitled to reasonable accommodations, absent undue hardship, to effectively participate in the application and hiring process, for example, sign language interpreters.If you believe you require an accommodation for the application or interview process or for the position for which you are applying, please reach out to TASupport@PandaRG.com.