Actuary, Data Commercialization

We need to output HTML fragment with sections: About the role? The posting includes "A Brief Overview" then "What You Will Do", "Qualifications", "Preferred", "What you can expect from RGA", "Compensation Range". Also maybe "Benefits" etc. We need to use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. But we should only include sections when posting has real specific content. We need to map content to these headings. We have: - About the role: could be the "A Brief Overview" paragraph describing the role. That's suitable. - Responsibilities: "What You Will Do" list of duties. - Requirements: "Qualifications" (mandatory). Also maybe "Preferred" could be Skills? But we have Skills section maybe for preferred qualifications? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to decide which to include. We have Qualifications (mandatory) and Preferred (preferred). Could combine into Qualifications and Skills? Or treat Preferred as Skills. The instruction says we can include sections only when posting has real specific content. We have both Qualifications and Preferred. We could output Qualifications (mandatory) and Skills (preferred). Or we could output Qualifications only and ignore Preferred. But we have content for preferred: "Advanced analytics and statistical modeling skills..." etc. That could go under Skills. We also have Benefits: "What you can expect from RGA" includes knowledge, environment, career potential, AI usage note. That's more about culture/benefits. Could map to Benefits. Pay: Compensation Range given. Schedule: Not mentioned; we should not include Schedule if not present. Thus sections: About the role, Responsibilities, Requirements (maybe Qualifications?), Qualifications, Skills, Benefits, Pay. But we have both Requirements and Qualifications headings; maybe we should use Requirements for mandatory qualifications and Qualifications for preferred? However typical: Requirements = mandatory, Qualifications = preferred? Not sure. The instruction list includes both Requirements and Qualifications as possible headings. We need to decide mapping. We have mandatory qualifications list under "Qualifications". Preferred under "Preferred". Could map mandatory to Requirements, preferred to Qualifications? Or we could map mandatory to Qualifications and skip Requirements. But we have both headings available; we should not create empty sections. We need to include sections only when posting has real specific content. So we need to decide which headings to use based on content. We have content for mandatory qualifications (Bachelor’s, 7+ years, FSA accreditation, etc.) and content for preferred qualifications (Advanced analytics..., Experience supporting..., Ability to travel...). So we could have two sections: Requirements (mandatory) and Qualifications (preferred). Or Requirements (mandatory) and Skills (preferred). The instruction list includes Skills as a heading; we could put preferred under Skills. But they also have Qualifications heading. Which is more appropriate? Usually Qualifications = mandatory, Skills = preferred/technical skills. But we have both. Given the instruction list includes both Requirements and Qualifications, we could use Requirements for mandatory qualifications, Qualifications for preferred qualifications. Or we could use Requirements for mandatory, Skills for preferred. Let's examine typical job postings: Often they have "Responsibilities", "Qualifications", "Preferred Qualifications", "Benefits", "Pay". The instruction list includes Requirements and Qualifications separate; maybe they intend Requirements = mandatory, Qualifications = preferred. But they also have Skills heading; maybe they want to separate technical skills. Given we have both mandatory and preferred, we can use Requirements for mandatory, Qualifications for preferred. Or we could use Requirements for mandatory, Skills for preferred (since preferred includes skills). But we also have "Advanced analytics and statistical modeling skills" etc which are skills. So Skills could be appropriate. Let's decide: Use Requirements for mandatory qualifications, Skills for preferred qualifications. Then we still have Qualifications heading unused; we could omit it. That's fine. Now Benefits: "What you can expect from RGA" includes culture, career potential, AI note. That's more like Benefits/Perks. We'll map to Benefits. Pay: Compensation Range. Now About the role: The "A Brief Overview" paragraph. Responsibilities: "What You Will Do" list. Now we need to format lists using

• . For responsibilities, we have many sentences each starting with a verb. We'll put each as
• . Ensure we preserve all substantive information; do not invent or summarize away detail. So we need to copy each bullet exactly as in the posting, but we can split into separate items. Let's extract responsibilities sentences: From "What You Will Do": - Leads assigned client-facing data commercialization initiatives, including MedScore, within strategy and priorities set by RGA's Data Commercialization SME. - Leads a defined project team to execute assigned client data solutions, coordinating actuarial, technical, and business development resources on scope of moderate complexity. - Analyzes client books business, market data, and experience trends to solve complex problems and develop recommendations that drive account growth. - Negotiates Engages with external clients and internal stakeholders to align on data-driven solutions that meet strategic needs. (Note there is a typo: "Negotiates Engages". We'll keep as is? Probably should keep exactly as posted: "Negotiates Engages with external clients and internal stakeholders to align on data-driven solutions that meet strategic needs." We'll keep that string.) - Drives the sales and implementation process for assigned client engagements, participating in client presentations, meetings, workshops, and demonstrations, and applying actuarial and analytical expertise to resolve client and technical challenges. - Drives go-to-market activities for assigned data and analytics solutions, including implementation planning and coordination with internal stakeholders on sales enablement materials. - Builds client relationships within assigned accounts by applying product knowledge and technical expertise to identify data-related opportunities. - Contributes to Model Development, to Model Development, Enhancement, and Governance processes, leading resolution of complex modeling issues in partnership with actuarial and technical teams. (Original: "Contributes to Model Development, Enhancement, and Governance processes, leading resolution of complex modeling issues in partnership with actuarial and technical teams.") - Develops insights from business data and client engagements to support product development, benchmarking, and thought leadership. - Drives process improvement efforts within actuarial and data commercialization functions, in collaboration with pricing, underwriting, and operations as needed. We need to preserve all substantive information; we should not modify text except for HTML tags. Keep punctuation as is. Now Qualifications (mandatory) list: - Bachelor’s Degree in Arts/Sciences (BA/BS) in Business, Actuarial Science, Administration, Marketing or related degree or equivalent related work experience - 7+ Years Life insurance, reinsurance, actuarial, data analytics, or related insurance industry experience - FSA accreditation - Proven ability to support client-facing sales, product commercialization, and revenue growth efforts - Advanced computer based technical skills, including MS Office applications. - Expert understanding of the US Life insurance markets - Advanced skills in customer relationship management and client service - Expert investigative, analytical and problem solving skills - Advanced oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received to internal and external audiences - Advanced ability to translate business needs and problems into viable solutions - Advanced ability to liaise with individuals across a wide variety of operational, functional and technical disciplines - Advanced persuasion and negotiation skills when working with internal/external customers to resolve issues/problems - Advanced ability to set goals and handle multiple tasks, clients, and projects simultaneously; ability to appropriately balance priorities, deadlines, and deliverables - Possess project management skills, including an ability to evaluate project objectives and scope for feasibility, understanding, scheduling and ensure projects meet budget and plan criteria. Now Preferred (Skills) list: - Advanced analytics and statistical modeling skills - Experience supporting client-facing initiatives, business development, or commercialization of data-driven solutions - Ability to travel as needed for client meetings, presentations, and business development activities Now Benefits (What you can expect from RGA): - Gain valuable knowledge from and experience with diverse, caring colleagues around the world. - Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. - Join the bright and creative minds of RGA, and experience vast, endless career potential. - We’re excited to get to know you and connect your unique skills with our global opportunities. - To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience—without considering name, gender, or other personal details—and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you. Now Pay: Compensation Range $139,380.00 - $207,700.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. We need to output HTML fragment with

  headings and

  for prose,

  • for lists. We should not include any extra text like explanations. We need to ensure we don't repeat job title as heading. Not needed. We should not include Job ID etc. Now decide which headings to include: - About the role (

    About the role

    ) with paragraph from "A Brief Overview". - Responsibilities (

    Responsibilities

    ) with
    • list. - Requirements (

      Requirements

      ) with
      • list of mandatory qualifications. - Skills (

        Skills

        ) with
        • list of preferred qualifications. - Benefits (

          Benefits

          ) with

          paragraphs (maybe multiple

          ). - Pay (

          Pay

          ) with

          paragraph(s). We should not include Schedule. Now ensure we preserve all substantive information: we must not omit any detail from the lists. Let's double-check we captured all items. From responsibilities we captured 10 bullets. Let's verify original text: "What You Will Do Leads assigned client-facing data commercialization initiatives, including MedScore, within strategy and priorities set by RGA's Data Commercialization SME.Leads a defined project team to execute assigned client data solutions, coordinating actuarial, technical, and business development resources on scope of moderate complexity.Analyzes client books business, market data, and experience trends to solve complex problems and develop recommendations that drive account growth.Negotiates Engages with external clients and internal stakeholders to align on data-driven solutions that meet strategic needs.Drives the sales and implementation process for assigned client engagements, participating in client presentations, meetings, workshops, and demonstrations, and applying actuarial and analytical expertise to resolve client and technical challenges.Drives go-to-market activities for assigned data and analytics solutions, including implementation planning and coordination with internal stakeholders on sales enablement materials.Builds client relationships within assigned accounts by applying product knowledge and technical expertise to identify data-related opportunities.Contributes to Model Development, Enhancement, and Governance processes, leading resolution of complex modeling issues in partnership with actuarial and technical teams.Develops insights from business data and client engagements to support product development, benchmarking, and thought leadership.Drives process improvement efforts within actuarial and data commercialization functions, in collaboration with pricing, underwriting, and operations as needed." We have each sentence separated by a period but some missing spaces. We'll treat each sentence as a bullet. Ensure we keep the exact text as appears, including any missing spaces? The original had no space after periods before next sentence. But we can keep as is; it's okay. We'll