We are seeking a Senior Property & Casualty Insurance Product Manager – Personal Lines with expertise in product rationalization, new product development, product run-offs, regulatory strategy, InsurTech enablement, and claims transformation.
\nThe ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco.
\nKey responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation.
\nThe role requires deep industry knowledge and strategic consulting skills to advise insurers on optimizing personal lines products, navigating compliance requirements, and implementing emerging technologies.
\nThis is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance.
\nResponsibilities:
\nStrategic Consulting & Client Advisory
\nRegulatory Compliance & Market Strategy
\nInsurTech Enablement & Digital Transformation
\nClaims Transformation & Risk Management
\nProject Leadership & Stakeholder Engagement
\nXML job scraping automation by YubHub
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\nWe are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS-ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments.
\nIn this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production-grade, governed, multi-agent systems. You will apply leading GenAI frameworks and LLM platforms , including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases,while operating across the full Agentic SDLC.
\nP&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role.
\nWe are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers.
\nResponsibilities:
\nClient Advisory & Product Vision
\nPartner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology.
\nLead client workshops to define agent personas, responsibilities, autonomy boundaries, human-in-the-loop checkpoints, and escalation logic.
\nTranslate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions.
\nSupport executive conversations around GenAI platform strategy, operating models, vendor selection, and scale-out approaches.
\nAgentic Platform & Architecture Design
\nDesign and implement multi-agent architectures using modern GenAI tooling, including:
\nPlanner, executor, reviewer/critic, and supervisor agents
\nTool-calling and function-calling agents
\nMemory-enabled agents (conversation, semantic, episodic, and structured memory)
\nLeverage LangChain and LangGraph for agent orchestration, workflows, and control flow.
\nApply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control.
\nDesign agent interaction patterns such as hierarchical agents, collaborating agents, and event-driven agent workflows.
\nDefine standardized agent contracts, interfaces, and schemas to enable reuse and scale.
\nAgentic SDLC & Engineering Delivery
\nOwn delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:
\nAgent design specifications and behavior contracts
\nPrompt, policy, and tool versioning
\nSimulation environments and offline evaluation
\nAutomated testing of agent flows and guardrails
\nControlled rollout, telemetry-driven optimization, and continuous learning
\nBuild production-grade AI services primarily using Python, integrating:
\nLLM providers such as Anthropic (Claude), OpenAI, and open-source models
\nRetrieval-Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate)
\nImplement CI/CD pipelines for agent code, prompts, and policies.
\nIntegrate GenAI agents with client systems via APIs, workflow engines, event streams, and data platforms.
\nObservability, Evaluation & Optimization
\nImplement agent observability including tracing, decision logging, tool usage, and failure analysis.
\nApply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring.
\nDesign feedback loops incorporating human-in-the-loop review and reinforcement.
\nMonitor cost, latency, throughput, and behavioral drift across deployed agents.
\nGovernance, Risk & Financial Services Compliance
\nDesign Agentic AI platforms aligned with Financial Services regulatory expectations, including:
\nAuditability and traceability of agent decisions
\nModel and prompt explainability
\nData privacy and security controls
\nResilience and fail-safe mechanisms
\nEmbed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures.
\nProduce documentation supporting risk, compliance, internal audit, and regulator engagement.
\nTeam Leadership & Firm Contribution
\nProvide technical leadership and mentorship to consulting delivery teams.
\nContribute to internal GenAI accelerators, agent frameworks, and reusable assets.
\nSupport RFPs, proposals, and client solution designs with credible GenAI and agentic architectures.
\nParticipate in thought leadership on Agentic SDLC, GenAI engineering, and responsible autonomy.
\nBenefits
\nThis position comes with competitive compensation and benefits package:
\nCompetitive salary and performance-based bonuses
\nComprehensive benefits package
\nCareer development and training opportunities
\nFlexible work arrangements (remote and/or office-based)
\nDynamic and inclusive work culture within a globally known group
\nPrivate Health Insurance
\nRetirement Benefits
\nPaid Time Off
\nTraining & Development
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\nWe are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS–ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments.
\nIn this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production-grade, governed, multi-agent systems. You will apply leading GenAI frameworks and LLM platforms , including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases,while operating across the full Agentic SDLC.
\nP&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role.
\nWe are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers.
\nResponsibilities
\nClient Advisory & Product Vision
\nPartner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology.
\nLead client workshops to define agent personas, responsibilities, autonomy boundaries, human-in-the-loop checkpoints, and escalation logic.
\nTranslate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions.
\nSupport executive conversations around GenAI platform strategy, operating models, vendor selection, and scale-out approaches.
\nAgentic Platform & Architecture Design
\nDesign and implement multi-agent architectures using modern GenAI tooling, including:
\nPlanner, executor, reviewer/critic, and supervisor agents
\nTool-calling and function-calling agents
\nMemory-enabled agents (conversation, semantic, episodic, and structured memory)
\nLeverage LangChain and LangGraph for agent orchestration, workflows, and control flow.
\nApply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control.
\nDesign agent interaction patterns such as hierarchical agents, collaborating agents, and event-driven agent workflows.
\nDefine standardized agent contracts, interfaces, and schemas to enable reuse and scale.
\nAgentic SDLC & Engineering Delivery
\nOwn delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:
\nAgent design specifications and behavior contracts
\nPrompt, policy, and tool versioning
\nSimulation environments and offline evaluation
\nAutomated testing of agent flows and guardrails
\nControlled rollout, telemetry-driven optimization, and continuous learning
\nBuild production-grade AI services primarily using Python, integrating:
\nLLM providers such as Anthropic (Claude), OpenAI, and open-source models
\nRetrieval-Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate)
\nImplement CI/CD pipelines for agent code, prompts, and policies.
\nIntegrate GenAI agents with client systems via APIs, workflow engines, event streams, and data platforms.
\nObservability, Evaluation & Optimization
\nImplement agent observability including tracing, decision logging, tool usage, and failure analysis.
\nApply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring.
\nDesign feedback loops incorporating human-in-the-loop review and reinforcement.
\nMonitor cost, latency, throughput, and behavioral drift across deployed agents.
\nGovernance, Risk & Financial Services Compliance
\nDesign Agentic AI platforms aligned with Financial Services regulatory expectations, including:
\nAuditability and traceability of agent decisions
\nModel and prompt explainability
\nData privacy and security controls
\nResilience and fail-safe mechanisms
\nEmbed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures.
\nProduce documentation supporting risk, compliance, internal audit, and regulator engagement.
\nTeam Leadership & Firm Contribution
\nProvide technical leadership and mentorship to consulting delivery teams.
\nContribute to internal GenAI accelerators, agent frameworks, and reusable assets.
\nSupport RFPs, proposals, and client solution designs with credible GenAI and agentic architectures.
\nParticipate in thought leadership on Agentic SDLC, GenAI engineering, and responsible autonomy.
\nBenefits
\nThis position comes with competitive compensation and benefits package:
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\nWe are seeking a Senior Property & Casualty Insurance Product Manager – Personal Lines with expertise in product rationalization, new product development, product run-offs, regulatory strategy, InsurTech enablement, and claims transformation. This role requires deep industry knowledge and strategic consulting skills to advise insurers on optimizing personal lines products, navigating compliance requirements, and implementing emerging technologies.
\nKey responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation. Additionally, they will support regulatory advisory projects, ensuring compliance with state DOI regulations, NAIC model laws, and evolving legislative changes.
\nThe ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco. Preferred qualifications include CPCU, AINS, ARM, Lean Six Sigma, or PMP certifications.
\nThis is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance. Join us and contribute to strategic innovation, regulatory excellence, and digital transformation in the insurance industry.
\n**Key Responsibilities:"
\nThe key responsibilities of this role will include supporting Client and Internal Project Teams with a mix of the following capabilities:
\n**Strategic Consulting & Client Advisory"
\nAct as a trusted advisor to top-tier insurers on personal lines insurance products, including homeowners, auto, renters, and umbrella.
\nLead product rationalization efforts, optimizing insurers' portfolios to reduce complexity, enhance profitability, and improve customer experience.
\nDrive new product development, leveraging telematics, usage-based insurance (UBI), embedded insurance, and AI-driven pricing models.
\nDevelop and implement product run-off strategies, ensuring compliance, financial stability, and seamless transition for policyholders.
\nGuide insurers through regulatory advisory initiatives, ensuring product strategies align with state DOI regulations, NAIC model laws, and evolving consumer protection standards.
\n**Regulatory Compliance & Market Strategy"
\nAdvise on state and federal regulations, helping clients navigate rate filings, compliance risks, and policyholder protections.
\nManage engagements related to state DOI rate filings, competitive benchmarking, and regulatory impact assessments.
\nProvide insights on emerging legislative changes (e.g., climate risk mandates, AI-driven underwriting guidelines, and telematics regulations).
\n**InsurTech Enablement & Digital Transformation"
\nPartner with technology teams to implement digital underwriting, AI-based risk models, and automation tools.
\nEvaluate and recommend InsurTech solutions such as:
\nTelematics-based pricing (e.g., Cambridge Mobile Telematics, Arity)
\nAI-driven claims processing (e.g., CCC Intelligent Solutions, Snapsheet)
\nFraud detection & predictive analytics (e.g., Shift Technology, FRISS)
\nCustomer experience & digital distribution (e.g., Cover Genius, Trov)
\nSupport insurers in modernizing core platforms, working with vendors like Guidewire, Duck Creek, and Majesco.
\n**Claims Transformation & Risk Management"
\nAssist clients in claims process optimization, leveraging automation, AI, and predictive analytics for faster claims adjudication.
\nDevelop strategies for fraud detection, litigation management, and claims efficiency improvements.
\nWork with claims and risk teams to align product design with evolving risk trends (e.g., climate change impact, cyber risks in personal lines, and increased litigation costs).
\n**Project Leadership & Stakeholder Engagement"
\nLead cross-functional consulting engagements involving actuarial, underwriting, IT, claims, and distribution teams.
\nDevelop and present strategic recommendations to C-suite executives, supporting data-driven decision-making.
\nManage multiple client engagements, ensuring timely delivery, regulatory alignment, and measurable business impact.
\n**Requirements"
\nEducation: Bachelor's degree in Business, Finance, Insurance, or a related field (MBA, CPCU, or AINS preferred).
\nExperience: 5+ years in P&C insurance product management, consulting, or strategy roles, with a strong focus on personal lines.
\nIndustry Certifications (Preferred):
\nCPCU (Chartered Property Casualty Underwriter) – Deep expertise in P&C insurance.
\nAINS (Associate in General Insurance) – Strong foundational knowledge of insurance operations.
\nARM (Associate in Risk Management) – Specialization in risk assessment and mitigation.
\nLean Six Sigma or PMP – For project management and operational efficiency.
\nTechnical Expertise:
\nDeep knowledge of personal lines product development, pricing, underwriting, and risk management.
\nExperience with product rationalization, run-off strategies, and market repositioning.
\nStrong understanding of state insurance regulations, rate filings, and DOI compliance.
\nFamiliarity with InsurTech solutions, AI-driven pricing models, and claims automation technologies.
\nProficiency in data analytics tools (e.g., SQL, Python, Tableau, Power BI) for actuarial and risk modeling.
\nConsulting & Leadership Skills:
\nProven ability to develop strategic recommendations and present to C-suite executives.
\nStrong project management skills with experience leading cross-functional teams in product transformation.
\nExcellent problem-solving, analytical, and communication abilities.
\nExpertise in Agile methodologies for product development and market deployment.
\nUse of Lean Six Sigma frameworks for process optimization and operational efficiency.
\nExperience with customer journey mapping, product lifecycle management, and digital transformation strategies.
\n**Benefits"
\nThis position comes with competitive compensation and benefits package:
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