Billing Ops Consultant

A Leading Insurance Solutions Provider is seeking an analytical Billing Ops Consultant to drive daily billing production workflows and system reconciliations.

The Billing Ops Consultant must combine specialized knowledge of insurance billing architectures with technical issue resolution skills to resolve complex policy processing discrepancies.

Key Responsibilities

• Execute daily billing operations, premium transaction entries, and production support tasks within established service level agreements.
• Process insurance premium transactions, Broker of Record (BOR) changes, RPA system entries, and data correction patches across core systems.
• Monitor operational queues, exception trackers, and system reports to detect, investigate, and correct transaction processing anomalies.
• Perform detailed reconciliations between billing registers, premium ledgers, and downstream financial records to safeguard data accuracy.
• Investigate root causes of complex transaction defects and collaborate with technical teams to implement system enhancements.
• Maintain operational workflow logs, track daily transactional volumes, and submit periodic production status reports.
• Participate actively in User Acceptance Testing (UAT) and regression testing cycles for special projects and billing platform upgrades.
• Author, standardize, and update operational Standard Operating Procedures (SOPs) and desk level procedures.
• Coordinate with onshore and offshore business teams to guarantee continuous operational service delivery.

Requirements and Qualifications

• Bachelor’s degree in Commerce, Accounting, Finance, Business Administration, or a related field.
• 5-7 Years of relevant professional experience within billing operations, financial transaction processing, or production support.
• Direct domain exposure to the Insurance industry alongside a sound understanding of basic premium accounting principles.
• Strong analytical capabilities, problem-solving skills, and high accuracy in processing large-scale transactional datasets.
• Proficiency with enterprise software environments, MS Office applications (particularly advanced MS Excel), and transaction-processing systems.