Senior Manager Data Science (Pricing & Underwriting)

Help shape smarter pricing and underwriting decisions through trusted explainable data this role you will lead a team that builds and advances predictive models used to estimate healthcare renewal risk. You will combine people leadership technical expertise and strong business partnership to deliver scalable solutions that improve decision quality across a complex client portfolio.

• Lead coach and develop a team of Data Scientists while building a culture of learning collaboration technical excellence and innovation.

• Guide the strategy and long-term evolution of renewal risk estimation capabilities including a flagship renewal risk model and related analytics.

• Set priorities and allocate resources across a portfolio of high-impact data science initiatives to deliver reliable business outcomes.

• Provide hands-on technical direction for solution design predictive modeling machine learning statistical analysis forecasting model evaluation and risk estimation.

• Establish practical standards for peer review documentation validation monitoring performance tracking governance and ongoing model maintenance.

• Improve model performance explainability reproducibility reliability and business relevance while meeting enterprise standards.

• Partner with pricing underwriting actuarial data technology and analytics teams to turn business needs into clear analytical roadmaps and production-ready solutions.

• Communicate model outputs assumptions limitations and recommendations in a clear way for technical and non-technical audiences.

• Support adoption of analytical solutions by helping stakeholders understand how to use model insights in pricing and underwriting workflows.

• 8 years of experience in data science advanced analytics statistical modeling machine learning actuarial analytics or a related quantitative field.

• Experience developing predictive models machine learning solutions and advanced analytical methods using large complex datasets.

• Experience leading Data Scientists and delivering complex analytical initiatives that solve business problems and influence decisions.

• Strong knowledge of statistical modeling predictive analytics machine learning model evaluation and experimental design.

• Proficiency with modern data science technologies such as Python SQL Spark and machine learning frameworks.

• Experience developing validating monitoring and governing analytical models in production environments.

• Strong communication and stakeholder management skills including the ability to explain complex concepts to varied audiences.

• Ability to balance strategic leadership with hands-on technical contribution.

• Bachelors or advanced degree in Statistics Data Science Mathematics Computer Science Economics Operations Research Engineering or a related quantitative field.

• Experience with healthcare data including medical claims pharmacy claims eligibility provider consumer or related datasets.

• Experience supporting pricing underwriting risk assessment forecasting or related business functions.

• Experience deploying and supporting machine learning solutions in production.

• Experience leading cross-functional work across business analytics and technology teams.

• Familiarity with responsible AI model governance and explainability practices.

If you will be working at home occasionally or permanently the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position we anticipate offering an annual salary of 149100 - 248500 USD / yearly depending on relevant factors including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group youll enjoy a comprehensive range of benefits with a focus on supporting your whole health. Starting on day one of your employment youll be offered several health-related benefits including medical vision dental and well-being and behavioral health programs. We also offer 401(k) company paid life insurance tuition reimbursement a minimum of 18 days of paid time off per year paid holidays and leaves of absence. For more details on our employee benefits programs click here.

About The Cigna Group

Doing something meaningful starts with a simple decision a commitment to changing lives. At The Cigna Group were dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services we are committed to enhancing the lives of our clients customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race color age disability sex childbirth (including pregnancy) or related medical conditions including but not limited to lactation sexual orientation gender identity or expression veteran or military status religion national origin ancestry marital or familial status genetic information status with regard to public assistance citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process please email for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama Alaska Arizona Arkansas Delaware Florida Georgia Hawaii Idaho Iowa Kansas Maryland Massachusetts Michigan Nebraska Ohio Pennsylvania Texas Utah Vermont and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances.