Data Mining Manager - Payment Integrity (Hybrid Tempe)

name

Tempe (AZ)

Hybrid

USD 101,000 - 132,000

Full time

12 days ago
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Benefits offered by this job

Unlimited vacation
Annual performance bonuses
Benefits package

Job summary

Oscar is hiring a Manager, Data Mining to lead the Data Mining team within the Payment Integrity space in Tempe, AZ. The role focuses on achieving savings and recovery targets, overseeing vendor submissions, and guiding internal auditors and partners.

You will mentor staff, collaborate with technology and data science teams to develop identification algorithms, and ensure regulatory compliance in daily operations.

Qualifications

  • A bachelor’s degree or 4+ years of commensurate experience.
  • 4+ years experience in healthcare operations.
  • 2+ years of experience leading and developing a team.
  • 2+ years experience designing, implementing and improving business workflows.

Responsibilities

  • Oversee the quality control process for data mining vendor submissions, ensuring accuracy and alignment with program standards.
  • Lead the daily operations of the data mining team, including the strategic delegation of work to both internal auditors and external partners.
  • Develop team workflows and guidelines that produce consistent and measurable outcomes.
  • Train, teach and mentor team members to become more proficient and effective.
  • Partner with Oscar's technology and/or data science teams to establish algorithms for savings and recovery identifications.
  • Compliance with all applicable laws and regulations.
  • Other duties as assigned

Skills

Data mining
Team leadership
Workflow design
Healthcare operations
SQL

Education

Bachelor's degree

Job description

Oscar is hiring a Manager, Data Mining to lead the Data Mining team within the Payment Integrity space in Tempe, AZ. The role focuses on achieving savings and recovery targets, overseeing vendor submissions, and guiding internal auditors and partners.

You will mentor staff, collaborate with technology and data science teams to develop identification algorithms, and ensure regulatory compliance in daily operations.

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