• Create confidence in product decisions by designing, analyzing, and communicating experiments that help teams understand what works and what doesn't. • Turn product data into strategic direction by identifying trends, customer behaviors, and opportunities that influence roadmap priorities. • Build a shared understanding of product health through dashboards and reporting that give Product and Engineering teams visibility into adoption, performance, and customer outcomes. • Help define how we measure success in an AI-first product by developing the metrics and evaluation frameworks that shape our agent-powered capabilities. • Bring data into the room early. Partner with Product Managers, Engineers, and Designers to frame problems, evaluate tradeoffs, and make better decisions before roadmaps are finalized. • Reveal what different customers need by using cohort analysis, segmentation, and behavioral data to uncover meaningful patterns and opportunities for improvement. • Bring clarity to ambiguity. Start with questions – not predefined reports – and determine what needs to be measured, analyzed, or built to help teams move forward with confidence.

• Analyse customer behaviour across key digital journeys to identify friction points, opportunities and changes in performance. • Translate behavioural data into simple, actionable recommendations for Product, UX, Experimentation and business stakeholders. • Combine quantitative and qualitative insights, including analytics, user research, voice of the customer, and session replay tools where available. • Help stakeholders understand the "why" behind performance by connecting customer behaviour, product changes and commercial outcomes. • Support teams in creating structured growth hypotheses based on data, customer insight and business priorities. • Work with Product Managers, UX, Engineering and business stakeholders to turn opportunities into experiment ideas, discovery questions or roadmap actions. • Support the design of A/B tests and other structured test-and-learn approaches. • Build, maintain and improve Airtable bases that support experimentation, product analytics, insight management and operational workflows. • Identify opportunities to reduce repetitive manual work through automation, low/no-code workflows and AI-supported processes.

Role Description The Actuarial Analyst performs actuarial services in support of Health Plan operations and monitors and maintains financial solvency through the understanding of current data & environment and modeling of future events. This role is responsible for providing a range of experience working to establish rates, rating structures and systems, and reserves. The Actuarial Analyst is accountable for providing in-depth analysis on the overall risk management and financial solvency for the health plan operation. Essential Accountabilities - Establishes insurance rates, rating structures, and rating systems for groups and categories of business. - Maintains reserve programs, pricing files, risk score models, benefit relativity tables, and appropriate documentation for work. - Develops financial projections, risk score analysis, unpaid claim liability estimates, and conducts actuarial analysis for well-defined projects as directed. - Compiles and analyzes data to draw conclusions and make recommendations. - Proposes and assists in the development of process improvements utilizing system and software applications to full potential and participates in activities and projects as directed. - Continued professional growth in the Actuarial field as evidenced by participation in the Actuarial Study Program, attainment of credentials, and maintaining applicable annual continuing education requirements. - Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies’ mission and values, adhering to the Corporate Code of Conduct, and leading with the Lifetime Way values and beliefs. - Consistently adheres to the Actuarial Standards of Practice and the Code of Professional Conduct as promulgated by the Actuarial Standards Board. - Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures. - Regular and reliable attendance is expected and required. - Performs other functions as assigned by management. Minimum Qualifications - Bachelor’s Degree in a related field with at least one (1) Society of Actuary (SOA) exam passed required. - Prior actuarial or related insurance industry experience preferred. - Strong analytical skills, verbal and written communication skills. - Strong interpersonal skills with demonstrated ability and willingness to collaborate with other team members. - Ability to prioritize, multitask, and maintain multiple simultaneous projects. - Intermediate technical skills including proficiency in Microsoft Office Suite. - Strong programming skills in SQL, SAS, VBA, or similar programming language is preferred. Compensation Range(s) - Level I: Grade E3: Minimum $62,400 - Maximum $106,929 - Level II: Grade E4: Minimum $65,346 - Maximum $117,622 - Level III: Grade E6: Minimum $79,068 - Maximum $142,322 - Level IV: Grade E7: Minimum $87,766 - Maximum $157,978 Physical Requirements - Ability to work while sitting and/or standing at a workstation viewing a computer and using a keyboard, mouse and/or phone for three (3) or more hours at a time. - Ability to travel across the Health Plan service region for meetings and/or trainings as needed.

Role Description This role supports actuarial and data analytics for risk-adjusted business across ACA, Medicare Advantage, and Medicaid. Responsibilities include analyzing risk scores, financial impacts, and performance metrics, as well as developing insights to guide risk adjustment strategy, reporting, and pricing/forecasting efforts. The position requires strong analytical skills and the ability to translate data into actionable business recommendations. What You'll Do - Perform or support actuarial analytics on risk adjustable lines of business, including ACA, Medicare Advantage, and Medicaid. - Perform or support CMS-HCC and HHS-HCC risk score projections, including RATP, MA MYRA/FYRA accruals, and RADV financial impacts. - Perform or support data analytics and reporting to inform risk adjustment operations, strategy, submissions, and vendor performance. - Perform or support financial metrics pertaining to risk adjustment performance, including but not limited to intervention ROI. - Collect and analyze data to use for financial and utilization reporting and monitoring. - Support pricing and forecast efforts, including ACA pricing and MA Bid submissions. Qualifications - Bachelors degree is required, preferably within Mathematics, Statistics, Actuarial Sciences or a related field from an accredited college or university. - Requires 2+ years of actuarial and/or statistics experience or attainment of Associate level in the Society of Actuaries (ASA). - ASA candidate a plus. Requirements - Requires working knowledge of Excel. - Prefers experience with SAS or other programming language. - Prefers knowledge of data analysis and Actuarial principles. Skills and Abilities - Requires good oral and written communication skills. - Requires strong analytical thinking. - Requires strong mathematical skill and statistical analysis abilities. - Requires good judgment and problem solving skills. Benefits - Comprehensive health benefits (Medical/Dental/Vision) - Retirement Plans - Generous PTO - Incentive Plans - Wellness Programs - Paid Volunteer Time Off - Tuition Reimbursement Salary Range $79,100 - $105,945