Business Consultant Senior Location: Hybrid 1: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. Carelon Payment Integrity is a proud member of the Elevance Health family of companies, Carelon Insights, formerly Payment Integrity, is determined to recover, eliminate and prevent unnecessary medical-expense spending. The Business Consultant Senior is responsible for translating most highly complex and varied business needs into application software requirements. These needs typically involve a significant expenditure or cost savings and impact a wide range of functions. Also, provides expertise to lower leveled consultants. This is the highest level in a career progression. This position will be responsible for collaborating with our data science team to develop machine learning models and data mining queries with the purpose of identifying overpayment opportunities that will contribute to cost of care savings and total program savings How you will make an impact: Provides expertise to lower level consultants on the analysis of business needs to determine optimal means of meeting those needs. Determines specific business application software requirements to address the most highly complex and varied business needs. May lead teams of analysts assigned to the most complex projects, typically those of highest importance and impact to the way in which we do business. Analyzes and designs solutions to address varied and highly complex business needs. Collaborate on automation to validate claims overpayment. Performs analyses of structured and unstructured data to solve multiple and/or complex business problems, utilizing automation/AI tools and broad knowledge of the organization and/or industry. Collaborates with data science providing guidance on overpayment model development. Complex data mining analysis and coordinating the activities of a project team.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees