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GuideWell Source · 17 hours ago

Actuarial Data Manager

United States

Full-time

Onsite

Mid, Senior Level

$109K/yr - $178K/yr

6+ years exp

GuideWell Source is a company focused on providing data and analysis to support the financial objectives of the Health Business Sector and the Enterprise. The Actuarial Data Manager will lead a department that ensures data quality for actuarial analyses and assists with financial forecasting and reserving.

Health CareMedicalService Industry

Responsibilities

Development of departmental data

Ensuring data quality for Actuarial analyses

Assisting with architecture development and monitoring of corporate data (EDW)

Assisting with reserving, trend setting, and financial forecasting

Manage, coach and mentor staff Data Analysts

Qualification

SASSQLData analysisMainframeUnixFinancial forecastingPredictive modelingTechnical guidanceInterpersonal skillsProblem solvingTeam collaboration

Required

6+ years related work experience. Experience Details: managed care/health insurance industry experience

3+ years' direct supervisory/management experience

Related Bachelor's degree or additional related equivalent work experience

Strong background in SAS, SQL, mainframe, and Unix

Ability to provide technical guidance and training to other members of the Actuarial Department

Ability to lead analysis teams or projects

Demonstrated working knowledge of major BCBSF information systems (financial, payment claims, enrollment, income and their interrelationships)

Proficiency in testing and validation of analyses

Experience with developing financial analytical techniques (e.g., IBNR setting or predictive modeling)

Experience with provider payment strategies (e.g., capitation, care network, arrangements, DRG reimbursement)

Established interpersonal skills and professionalism

Demonstrated proficiency in software (regardless of hardware platform) to include spreadsheet, word processing products, data base manager products, user development/corporate production programs and applications

Proven ability to solve problems creatively and in a team-based environment

Proven ability to engage upper management (Directors, Vice-Presidents) on information-critical issues

Proven ability to influence data architecture decisions regarding the sourcing of, data modeling, and final design of Enterprise-wide Information

Proven ability to engage external information companies to create benchmarking information, and research and develop new methods and tools for analysis