Chief Analytics Officer

Elevance HealthWallingford, CT
Hybrid

About The Position

Chief Analytics Officer Location: 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. 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. PLEASE NOTE: This position is not eligible for current or future visa sponsorship. The Chief Analytics Officer creates statistical models to predict, classify, quantify, and/or forecast business metrics. Designs modeling studies to address specific business issues determined by consultation with business partners. How you will make an Impact: Lead the design, evaluation, and measurement strategy for programs leveraging Medicaid claims and authorization data to drive performance and outcomes. Serve as a subject matter expert on Connecticut’s behavioral health system of care, providing research-driven insights and guidance. Advise internal and external executive leadership on behavioral health strategy, policy, and program effectiveness. Develop and contribute to high-quality, strategic responses to RFPs, articulating organizational capabilities and value. Prepares analytical data sets in support of modeling studies Build, test, and validate statistical models. Develops original algorithms and implement in systems and tools that will be used to develop new predictive models and provider profiles that go beyond standard industry tools and lead to innovative solutions to address cost and use of medical benefits. Publishes results and address constraints/limitations with high level business partners. Provides high-level controllership/evaluation of all data produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.

Requirements

  • Requires Doctoral degree in Biostatistics, Statistics, Mathematics, Epidemiology or equivalent training and mastery and a minimum of 10 years experience in related health care analytics; or any combination of education and experience which would provide an equivalent background.

Nice To Haves

  • Advanced expertise with software such as SAS Stat, SAS ETS, SAS Enterprise Miner or equivalent strongly preferred.
  • Intermediate to Advanced knowledge of Teradata, SQL, SQL Server, or equivalent strongly preferred.
  • Experience in large complex systems, including a solid background in effective use of multiple environments (PC, server, mainframe, intranet) strongly preferred.
  • Proven ability to design modeling studies and experience with data models, addressing data quality issues in study design, constructing robust and efficient analytical data sets strongly preferred.
  • Demonstrated experience in managing the design, development, and continuous improvement of complex healthcare data systems, tools, and reports strongly preferred.
  • Proven ability to present meaningful results to a business audience strongly preferred.
  • Demonstrated leadership competencies with the ability to collaborate with others and establish working relationships, communicate effectively across the organization and at different levels, coordinate multiple work efforts, and translate business needs into practical applications and solutions strongly preferred.

Responsibilities

  • Lead the design, evaluation, and measurement strategy for programs leveraging Medicaid claims and authorization data to drive performance and outcomes.
  • Serve as a subject matter expert on Connecticut’s behavioral health system of care, providing research-driven insights and guidance.
  • Advise internal and external executive leadership on behavioral health strategy, policy, and program effectiveness.
  • Develop and contribute to high-quality, strategic responses to RFPs, articulating organizational capabilities and value.
  • Prepares analytical data sets in support of modeling studies
  • Build, test, and validate statistical models.
  • Develops original algorithms and implement in systems and tools that will be used to develop new predictive models and provider profiles that go beyond standard industry tools and lead to innovative solutions to address cost and use of medical benefits.
  • Publishes results and address constraints/limitations with high level business partners.
  • Provides high-level controllership/evaluation of all data produced to ensure established targets are met.
  • Determines the continuous improvement opportunities of current predictive modeling algorithms.
  • Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.

Benefits

  • We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

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What This Job Offers

Job Type

Full-time

Career Level

Executive

Education Level

Ph.D. or professional degree

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