Product Evangelist & Prototyping Lead - Hybrid

📍 Job Overview

Job Title: Product Evangelist & Prototyping Lead
Company: The Cigna Group
Location: Philadelphia, Pennsylvania, United States | Franklin, Tennessee, United States
Job Type: Full-Time
Category: Go-To-Market Operations / Product Marketing Operations
Date Posted: 2026-01-06
Experience Level: 7+ Years (Implied 10+ by AI analysis)
Remote Status: Hybrid

🚀 Role Summary

• Drive adoption of underwriting innovation by transforming complex research models into intuitive prototypes and interactive demos.
• Develop and execute compelling narratives that translate technical model outputs into tangible business value, influencing strategic decisions in pricing, renewal strategies, and margin improvement.
• Lead adoption initiatives through comprehensive enablement programs, live demonstrations, and practical playbooks designed to empower underwriters and sales teams.
• Establish and manage a clear pipeline for transitioning prototypes from proof-of-concept to pilot stages, ensuring readiness for usability and integration.
• Define, track, and analyze key success metrics to continuously enhance user engagement and positively influence revenue outcomes.
• Foster strong cross-functional collaboration with underwriting, sales, data science, and vendor teams to align priorities and maintain a centralized, accessible prototype gallery.

📝 Enhancement Note: This role sits at the intersection of product marketing, solutions engineering, and analytics enablement, with a strong emphasis on translating complex data science and actuarial concepts into actionable business insights and user-friendly prototypes. The "Product Evangelist" title, combined with prototyping responsibilities, suggests a GTM-aligned operations role focused on internal product adoption and value realization. The AI-derived experience level of "10+" aligns with the strategic nature of evangelism and lead prototyping.

📈 Primary Responsibilities

• Prototype Development & Transformation: Convert advanced research models and data science outputs into interactive, user-friendly prototypes and compelling demonstrations that accelerate decision-making processes for underwriting and sales teams.
• Value Articulation & Storytelling: Craft clear, persuasive narratives that effectively communicate the strategic business value of model outputs, directly linking them to critical outcomes such as optimized pricing, refined renewal strategies, and enhanced margin improvement.
• Adoption & Enablement Leadership: Spearhead initiatives to drive product adoption by designing and delivering comprehensive enablement programs, conducting impactful live demonstrations, and creating practical playbooks that equip underwriters and sales professionals for successful implementation and utilization.
• Pipeline Management & Integration Readiness: Establish and meticulously manage a structured pipeline for advancing prototypes from initial proof-of-concept (POC) to pilot phases, ensuring that all prototypes are designed with usability, scalability, and eventual integration readiness in mind.
• Metrics Definition & Performance Analysis: Define, implement, and continuously monitor key success metrics and adoption benchmarks to measure the effectiveness of prototypes and enablement efforts, leveraging data-driven insights to refine strategies and maximize influence on revenue outcomes.
• Cross-Functional Collaboration & Communication: Actively collaborate with stakeholders across underwriting, sales, data science, product management, and external vendor teams to ensure alignment on priorities, gather feedback, and maintain a visible and up-to-date prototype gallery.

📝 Enhancement Note: The responsibilities highlight a blend of technical prototyping, strategic communication, and go-to-market execution, typical of a senior operations or product marketing role focused on driving internal product adoption and business impact, particularly within a complex B2B environment like insurance.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in a related field (e.g., Business, Marketing, Data Analytics, Computer Science, or a quantitative discipline) is preferred.

Experience:

• Minimum of 7+ years of progressive experience in product marketing, solutions engineering, analytics enablement, or a closely related field, with a demonstrable history of successfully driving adoption and delivering business value within complex B2B workflows.
• Proven track record of translating technical concepts and data outputs into compelling business narratives and actionable insights.
• Experience in developing and executing enablement programs and leading adoption initiatives.

Required Skills:

• Prototyping Proficiency: Hands-on ability to build lightweight, functional prototypes using tools such as Microsoft Power Apps, Streamlit, Python-based frameworks (e.g., Dash, Flask), or similar platforms to demonstrate model capabilities and user workflows.
• Exceptional Communication & Presentation: Superior verbal and written communication skills, with the ability to articulate complex actuarial, data science, and modeling concepts into clear, concise, and persuasive business value propositions for diverse audiences, including executive leadership, technical teams, and end-users.
• Product Marketing & Evangelism: Deep understanding of product marketing principles and experience in evangelizing technical products or solutions to drive adoption and engagement.
• Analytics Enablement: Experience in enabling users to understand and leverage data and analytical models for decision-making, including defining success metrics and tracking adoption.
• Cross-Functional Collaboration: Proven ability to effectively collaborate with diverse teams, including data scientists, underwriters, sales professionals, and product managers, to achieve common goals.

Preferred Skills:

• LLM & Predictive Modeling Familiarity: Exposure to or familiarity with Large Language Model (LLM)-enabled workflows and advanced predictive modeling concepts.
• User Experience (UX) Acumen: Comfort and experience in shaping and influencing user experiences, ideally in collaboration with dedicated UX/UI designers.
• Agile Methodologies: Experience working within agile development environments and familiarity with iterative product development cycles.
• B2B Workflow Expertise: Specific experience within the insurance, healthcare, or financial services industries, understanding their unique B2B workflows and decision-making processes.

📝 Enhancement Note: The "7+ years" requirement, combined with the need for hands-on prototyping and advanced communication skills, points to a senior-level individual contributor role. The preferred skills suggest a forward-looking individual who can engage with emerging technologies like LLMs.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Prototype Demonstrations: A portfolio showcasing successful, lightweight prototypes built using tools like Power Apps, Streamlit, or similar platforms, illustrating the ability to translate complex data or models into interactive user experiences.
• Value Articulation Case Studies: Examples of how you have translated technical concepts or model outputs into compelling business narratives that drove adoption or influenced strategic business decisions (e.g., pricing, margin improvement).
• Enablement Program Design: Evidence of designing and implementing successful enablement programs, playbooks, or training materials that led to increased user adoption and proficiency.
• Metrics & Impact Reporting: Examples of how you have defined, tracked, and reported on adoption metrics, user engagement, and business impact, demonstrating a data-driven approach to measuring success.

Process Documentation:

• Workflow Design & Optimization: Demonstrated ability to analyze existing workflows and design optimized processes for prototype development, pilot implementation, and eventual integration.
• User Journey Mapping: Experience in mapping user journeys to understand end-user needs and pain points, informing prototype design and enablement strategies.
• Cross-Functional Process Integration: Ability to document and communicate processes that ensure seamless collaboration and information flow between technical teams (data science, engineering) and business stakeholders (underwriting, sales).

📝 Enhancement Note: For a role like this, a portfolio is crucial. It should not just list tools used but demonstrate the impact of the prototypes and narratives created. Candidates should be prepared to walk through their process and the business outcomes achieved.

💵 Compensation & Benefits

Salary Range:

• Based on Cigna Group's typical compensation structure for similar roles and locations (Philadelphia, PA and Franklin, TN), and considering the 7+ years of experience requirement, the estimated annual base salary range for this position is between $110,000 - $150,000. This range can vary based on the candidate's specific experience, qualifications, and the final negotiated offer. Additional compensation may include bonuses or equity, depending on the specific role and company policy.

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage.
• Retirement Savings Plan: 401(k) with company match.
• Paid Time Off: Generous vacation, sick leave, and holidays.
• Life and Disability Insurance: Employer-paid life insurance and short/long-term disability coverage.
• Wellness Programs: Access to wellness initiatives and resources.
• Professional Development: Opportunities for training, certifications, and continuing education.
• Hybrid Work Flexibility: Support for a balanced work-life arrangement.
• Employee Assistance Program (EAP): Confidential counseling and support services.

Working Hours:

• Standard full-time work week, typically 40 hours per week. The hybrid arrangement allows for flexibility in scheduling, with an expectation of in-office presence on designated days for collaboration and team engagement.

📝 Enhancement Note: Salary estimates are based on industry benchmarks for similar roles in Philadelphia, PA, and Franklin, TN, factoring in the experience level and the hybrid work model. Cigna Group, as a large established company, is expected to offer a robust benefits package.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare / Insurance. The Cigna Group operates as a global health services company, providing a wide range of health-related products and services. This context means the role operates within a highly regulated, data-intensive, and customer-centric environment. Company Size: Large Enterprise (The Cigna Group has tens of thousands of employees globally). Founded: 1792 (as The Cigna Group's predecessor companies). This long history suggests a stable, established organization with deep industry expertise.

Team Structure:

• Reporting: Likely to report into a Product Management, Product Marketing, or a dedicated Innovation/Analytics Enablement function within the Underwriting or broader GTM organization.
• Collaboration: Will involve close, daily collaboration with data scientists, actuaries, underwriters, product managers, sales enablement teams, and potentially external technology vendors.
• Specialization: The team is focused on driving innovation in underwriting through advanced analytics, AI/ML, and effective product evangelism to ensure these innovations are understood, adopted, and deliver measurable business impact.

Methodology:

• Data-Driven Decision Making: Emphasis on using data to define product strategy, measure success, and iterate on prototypes and enablement materials.
• Agile & Iterative Development: Likely to employ agile methodologies for prototype development and feedback cycles, allowing for rapid iteration.
• Customer-Centric Approach: Focus on understanding the needs of underwriters and sales teams to ensure prototypes and narratives are relevant and valuable.
• Cross-Functional Alignment: Processes are designed to ensure alignment and buy-in from various departments to facilitate smooth adoption.

Company Website: https://jobs.thecignagroup.com/us/en

📝 Enhancement Note: The Cigna Group's size and industry imply a structured environment with established processes, but also opportunities for significant impact in driving innovation, particularly in areas like underwriting where data science and AI are increasingly critical.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Individual Contributor, likely equivalent to an "Associate Director" or "Senior Manager" level in terms of responsibility and impact, though potentially without direct reports initially. It's a specialized role focused on bridging technical innovation with business adoption.

Reporting Structure: The role likely reports to a Director or VP level within a relevant product, innovation, or GTM strategy team. This provides visibility to senior leadership and the opportunity to influence strategic direction.

Operations Impact: The role has a direct impact on revenue and operational efficiency by accelerating the adoption of innovative underwriting models. By enabling underwriters and sales teams to leverage advanced analytics and AI more effectively, the role contributes to improved pricing accuracy, better risk assessment, increased sales effectiveness, and enhanced profitability (margin improvement).

Growth Opportunities:

• Leadership in Innovation: Potential to lead broader initiatives around product evangelism and adoption for new technologies within underwriting and across other business units.
• Specialization Advancement: Deepen expertise in AI/ML applications in insurance, LLM workflows, and advanced prototyping techniques, becoming a recognized subject matter expert.
• Cross-Functional Mobility: Opportunities to move into product management, product marketing, or strategic sales enablement roles within The Cigna Group, leveraging the broad experience gained.
• Mentorship: As a senior member, opportunities to mentor junior team members or new hires in prototyping and evangelism.

📝 Enhancement Note: This role offers a unique path for professionals who enjoy the technical aspects of data science and prototyping but also possess strong communication and GTM skills. Growth likely involves increasing scope of influence and potentially moving into management or more strategic product roles.

🌐 Work Environment

Office Type: Hybrid. This indicates a blend of remote work and in-office collaboration. The Cigna Group likely offers modern office spaces designed to facilitate team meetings, brainstorming sessions, and client-facing demonstrations.

Office Location(s):

• Philadelphia, Pennsylvania: A major metropolitan hub, potentially housing a significant corporate or innovation center.
• Franklin, Tennessee: Located in the Nashville metropolitan area, a growing business region.

Workspace Context:

• Collaborative Spaces: Offices are expected to have dedicated areas for team collaboration, project work, and presentations, essential for a role involving demos and evangelism.
• Technology Access: Employees will have access to necessary hardware, software licenses, and high-speed internet (cable broadband or fiber optic with at least 10Mbps download/5Mbps upload for remote work) to perform their duties, including prototyping tools and communication platforms.
• Team Interaction: Regular opportunities for in-person interaction with cross-functional teams, fostering a dynamic and communicative work environment.

Work Schedule:

• The hybrid model provides flexibility. While a standard 40-hour work week is expected, there's likely autonomy in managing daily schedules to balance remote productivity with scheduled in-office collaboration and client-facing activities.

📝 Enhancement Note: The hybrid nature requires self-discipline and strong time management skills. Candidates should be comfortable with a mix of independent work and structured team interactions.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A brief call with a recruiter to assess basic qualifications, interest, and cultural fit.
2. Hiring Manager Interview: In-depth discussion with the hiring manager focusing on experience, understanding of the role, and alignment with team objectives. Expect questions about your approach to prototyping, evangelism, and driving adoption.
3. Technical/Portfolio Review: A session where you will present your portfolio. This will likely involve demonstrating prototypes, discussing your approach to translating complex concepts, and explaining the business impact of your past work. Be prepared for technical questions related to prototyping tools and data science concepts.
4. Cross-Functional Interview(s): Interviews with key stakeholders from underwriting, data science, or sales teams to assess collaboration skills and understanding of their needs and challenges.
5. Final Interview: Potentially with a senior leader to discuss strategic alignment and long-term vision for the role.

Portfolio Review Tips:

• Showcase Impact: Focus on the results of your prototypes and evangelism efforts – e.g., increased adoption rates, improved decision-making speed, tangible business value, or revenue impact. Quantify wherever possible.
• Demonstrate Process: Clearly articulate your process from understanding a problem/model to building a prototype, crafting a narrative, and driving adoption. Use a STAR (Situation, Task, Action, Result) format.
• Tool Versatility: Highlight your proficiency with relevant prototyping tools (Power Apps, Streamlit, etc.) and your ability to adapt to new technologies.
• Narrative Crafting: Be ready to "evangelize" one of your past projects as if you were presenting it to a new audience. Practice telling a compelling story that connects the technical details to business outcomes.
• Tailor to Cigna: Research Cigna's business and current innovation areas. Frame your experience in a way that shows how you can contribute to their specific goals in underwriting innovation.

Challenge Preparation:

• Prototyping Challenge: You may be given a hypothetical scenario or a simplified model and asked to outline how you would prototype it and what metrics you would track.
• Storytelling Challenge: Prepare to explain a complex data science concept or model output in simple terms to a non-technical audience.
• Strategy Discussion: Be ready to discuss how you would approach launching a new prototype to a broad user base and what strategies you would employ to ensure adoption.

📝 Enhancement Note: The portfolio review is a critical component. Candidates should prepare a concise, impactful presentation that clearly demonstrates their ability to bridge the gap between technical innovation and business value.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping Platforms: Microsoft Power Apps, Streamlit (Python), potentially other low-code/no-code platforms or Python frameworks like Dash or Flask for building interactive web applications.
• Presentation Software: Microsoft PowerPoint, Google Slides, or similar for crafting compelling narratives and demo decks.
• Collaboration Tools: Microsoft Teams, Slack, or similar for real-time communication and team coordination.

Analytics & Reporting:

• BI Tools: Tableau, Power BI, or similar for visualizing data and creating dashboards to track adoption metrics and business impact.
• Spreadsheet Software: Microsoft Excel or Google Sheets for data manipulation, analysis, and basic reporting.
• Data Science Platforms: Familiarity with environments where research models are developed (e.g., Python notebooks, RStudio, cloud-based ML platforms) would be beneficial.

CRM & Automation:

• CRM Systems: While not a primary focus, familiarity with CRM systems like Salesforce can be helpful for understanding sales workflows and customer engagement.
• Workflow Automation: Understanding of general workflow automation principles, even if not directly building automations in this role, is valuable for integration discussions.
• Project Management Tools: Jira, Asana, Trello, or similar for managing prototype development pipelines and tracking tasks.

📝 Enhancement Note: Proficiency in at least one rapid prototyping tool (Power Apps, Streamlit) is explicitly required. The ability to interpret and visualize data using BI tools is also key to demonstrating impact.

👥 Team Culture & Values

Operations Values:

• Innovation & Future-Forward Thinking: A drive to explore and implement new technologies and methodologies, particularly in AI/ML, to solve business challenges.
• Collaboration & Partnership: A strong emphasis on working effectively across departments to achieve shared goals and ensure successful product adoption.
• Impact & Results Orientation: A focus on delivering tangible business value and measurable outcomes, linking efforts directly to revenue and efficiency improvements.
• Data-Driven Excellence: A commitment to using data and analytics to inform decisions, measure performance, and continuously improve processes and products.
• Clear Communication & Transparency: Valuing clear, concise, and persuasive communication to ensure all stakeholders understand the value and application of innovations.

Collaboration Style:

• Proactive Engagement: Actively seeking out and engaging with stakeholders to understand needs, gather feedback, and ensure buy-in.
• Cross-Functional Teamwork: Working as a cohesive unit with diverse teams, respecting different expertise and perspectives.
• Knowledge Sharing: Willingness to share insights, best practices, and learnings from prototype development and adoption initiatives.
• Iterative Feedback Loops: Embracing a culture where feedback is regularly exchanged to refine prototypes and communication strategies.

📝 Enhancement Note: The Cigna Group, as a large healthcare organization, likely emphasizes values around integrity, customer focus, and professional development, which would inform how this team operates.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Technical Gaps: Effectively translating highly technical or complex data science concepts into understandable business value for diverse audiences can be challenging.
• Driving Adoption in Complex Organizations: Overcoming inertia and resistance to change within a large, established organization to ensure new tools and models are adopted and utilized effectively.
• Balancing Prototyping Speed with Integration Needs: Creating rapid prototypes while ensuring they are built with future integration and scalability in mind.
• Measuring ROI for Innovation: Quantifying the precise business impact and ROI of prototypes and enablement efforts, especially when they influence strategic decisions rather than direct transactions.
• Staying Ahead of Technology Trends: Keeping pace with rapid advancements in AI, LLMs, and prototyping tools to maintain cutting-edge solutions.

Learning & Development Opportunities:

• Advanced Prototyping Techniques: Opportunities to explore and master new prototyping tools and methodologies, potentially including more advanced UI/UX design collaboration.
• AI/ML Specialization: Deepen knowledge in specific AI/ML applications relevant to the insurance and healthcare industries, including LLM applications.
• Product Strategy & Management: Gain exposure to product strategy development and roadmap planning, potentially leading to future roles in product management.
• Industry Conferences & Certifications: Access to industry events and potential for certifications related to product marketing, data science, or specific technologies.
• Mentorship & Leadership Development: Opportunities to be mentored by senior leaders and to develop leadership skills through project ownership and team collaboration.

📝 Enhancement Note: This role is ideal for someone who thrives on solving complex problems, enjoys continuous learning, and is motivated by driving tangible business outcomes through innovation.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate a complex technical model or data output for a non-technical audience. What was your approach, and what was the outcome?" (Focus on your communication strategy and storytelling ability.)
• "Walk me through a prototype you built. What problem did it solve, what tools did you use, and how did you measure its success or adoption?" (Be ready to present your portfolio and discuss your process, metrics, and impact.)
• "How would you approach creating a pipeline for moving prototypes from concept to pilot within a large organization like Cigna?" (Discuss your process management, stakeholder engagement, and risk mitigation strategies.)
• "Imagine you need to evangelize a new underwriting model to our sales team. What would be your key messages, and how would you tailor your approach?" (Demonstrate your understanding of sales enablement and value-based communication.)

Company & Culture Questions:

• "What interests you about The Cigna Group and our work in underwriting innovation?" (Research Cigna's mission, recent news, and their commitment to innovation.)
• "How do you ensure collaboration and alignment when working with cross-functional teams that may have different priorities?" (Highlight your stakeholder management and conflict resolution skills.)
• "How do you define and measure success in a role focused on product evangelism and adoption?" (Emphasize your data-driven approach and focus on business outcomes.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each portfolio item, clearly state the problem, your solution (prototype/narrative), the tools used, your specific contributions, and the measurable results achieved.
• Focus on Impact: Quantify your achievements whenever possible. Instead of "improved efficiency," say "reduced model evaluation time by 30%."
• Demo Live (If Possible): If your prototypes are web-based and stable, be prepared to offer a brief live demo. Otherwise, use clear screenshots and concise explanations.
• Address the "Why": Explain the strategic importance of your work and how it aligned with business objectives.
• Anticipate Questions: Be ready to answer questions about challenges, alternative approaches, and future iterations of your work.

📝 Enhancement Note: Prepare specific examples using the STAR method for behavioral questions. For the portfolio, select 2-3 of your most impactful projects that best represent the core requirements of this role.

📌 Application Steps

To apply for this Product Evangelist & Prototyping Lead position:

• Submit your application through the provided application link on The Cigna Group's careers portal.
• Tailor Your Resume: Customize your resume to highlight keywords and experiences directly related to product marketing, solutions engineering, analytics enablement, prototyping (mentioning specific tools like Power Apps, Streamlit), communication, and driving adoption in B2B environments. Quantify achievements wherever possible.
• Curate Your Portfolio: Select 2-3 key projects that best showcase your ability to build prototypes, translate complex concepts into business value, and drive adoption. Prepare a concise presentation or digital portfolio that clearly articulates the problem, your solution, the impact, and the tools used.
• Research The Cigna Group: Familiarize yourself with Cigna's business, its focus on healthcare innovation, and any recent news or initiatives related to AI, data science, or underwriting. Understand their mission and values.
• Prepare for Portfolio Presentation: Practice walking through your portfolio projects, focusing on storytelling, impact, and your process. Be ready to demonstrate your prototyping skills and articulate how you would approach the responsibilities of this role.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with The Cigna Group's hiring team before making application decisions.