The Hartford

Insurance

• Accountable for end-to-end technology execution, quality, financials, and workforce management for strategic investments and maintenance, ensuring compliance with NFR (Compliance, Audit, SOX controls, Disaster Recovery).
• Partner with VSO, VSL, Business Transformation Leads and Agile product management teams to drive business value and prioritize capabilities.
• Responsible for delivery of Submissions Intake, Extraction and Ingestion.
• Manage and negotiate complex stakeholder relationships within and across Value Streams and business leadership.
• Develop and implement technology strategy, process improvements, risk mitigation, financial management, and resource planning.
• Collaborate with enterprise leaders on digital transformation, cloud migration, and Generative AI initiatives.
• Develop and lead a large organization with strong workforce strategies, including HR management for Release Train Engineers, Scrum Masters, Quality Analysts.
• Effectively manage multiple vendor partnerships in an onshore/offshore environment.
• Lead and govern the established Agile Maturity Roadmap using Agile SAFe framework, Chapters, and platform concepts.
• Mature DevOps, RE, and QE practices, improve automation for continuous delivery, and build high-performing teams focused on continuous improvement.
• Oversee financial management, including cost and time estimation to deliver business value.
• Drive community engagement and productivity, lead innovation, implement new technologies, and demonstrate strong business acumen.
• Engage leaders to support technology changes, act as a trusted advisor to the leadership teams, and utilize strong analytical skills to influence decisions.
• Oversee product development and educate leaders on emerging technology trends.

AVP IT Global Specialty Insurance Delivery Lead

Full-stack Engineer

• Design, develop, and maintain scalable and secure APIs.
• Build and enhance Angular components and other front-end technologies.
• Conduct code reviews and maintain quality standards for API and UI modules across multiple scrum teams within their Agile Release Train (ART).
• Adhere to architectural standards and maintain application integrity in collaboration with architects and technical leads.
• Design solutions with a clear understanding of technology trade-offs, balancing risks and rewards to deliver optimal customer value.
• Implement cloud-native architecture patterns that are scalable, reusable, secure, and cost-efficient, including multi-region support, fault tolerance, and data replication strategies.
• Utilize AWS services for application development and deployment, including (but not limited to): Lambda, CloudWatch, ECS, EKS, RDS, S3, IAM, SNS, SQS, EventBridge, AWS Batch, AWS Directory, and Service Catalog.
• Apply DevOps practices and leverage CI/CD tools for continuous integration and delivery.
• Communicate risks, mitigations, and business impacts clearly and professionally, both verbally and in writing.
• Present innovative ideas to leadership and identify opportunities for improvement.
• Serve as the technical subject matter expert for billing applications and integration components.
• Share knowledge and mentor team members (including sourcing partners) on development guidelines and best practices.
• Demonstrate strong attention to detail and effectively manage multiple priorities in a fast-paced environment.
• Take ownership and drive innovation to leverage technology for solving customer problems.
• Oversee development teams by removing technical blockers and guiding architecture and design.
• Maintain regular contact with other TLs for efficient progress across development streams.
• Coordinate with other projects to support parallel development and reduce code or environment conflicts.

Senior Software Engineer

Analyst

• Independently manage a caseload of PFML claims from intake through resolution
• Conduct thorough reviews of medical records, employment history, and policy provisions
• Determine eligibility and benefit entitlement based on contractual language and supporting documentation
• Serve as the main contact for claimants, providing clear, compassionate, and timely updates
• Communicate with employers, physicians, and legal representatives to gather and clarify information
• Educate claimants on the PFML process, timelines, and expectations
• Make well-reasoned decisions supported by evidence and aligned with policy terms
• Document all claim activity, rationale, and communications in a clear and professional manner
• Prepare written correspondence including approval, denial, and status letters
• Collaborate with internal resources such as peers, CRO, SIU and Team Leader
• Escalate complex or high-risk claims to senior team members or management as appropriate
• Ensure all claims are handled in compliance with State regulations, HIPAA, and other applicable regulations
• Participate in audits, quality reviews, and continuous improvement initiatives

Ability Analyst

Software Engineer

• Act as a strategic risk advisor, partnering with clients to proactively identify emerging risks and co-create practical, value-added mitigation solutions
• Demonstrate customer centricity and empathy by tailoring recommendations to each client’s industry, risk profile, and business priorities
• Conduct risk assessments and consultations across multi lines of insurance using onsite, hybrid, and virtual/digital delivery models
• Develop and execute data driven service plans that address loss drivers, operational exposures, and client business objectives
• Translate complex technical findings into clear, compelling insights using storytelling with data for clients, agents, and underwriting partners
• Leverage digital tools, analytics, and emerging technologies (e.g., dashboards, virtual tools, AI enabled insights) to enhance service quality, efficiency, and customer experience
• Contribute to a culture of innovation, knowledge sharing, and continuous improvement within Risk Engineering
• Collaborate cross functionally with underwriting, claims, sales, data, and technical experts to deliver integrated risk solutions
• Identify opportunities to expand Risk Services offerings and support profitable growth
• Engage in continuous learning to stay current on industry trends, emerging risks, and evolving technologies
• Mentor, coach, and support less experienced risk engineering consultants as appropriate by role level

Senior Consultant, Risk Engineering

Account Manager

• Personal meetings and telephone contact with agents
• Creates plans to prioritize agency contact and activity
• Builds actionable Agency Sales Plans
• Maintaining sales administration responsibilities through timely reporting
• Exercises discipline and focus on flow management

Small Business Sales, Territory Manager

Customer Support

• Promote digital self service capabilities.
• Take ownership to ensure that we go above and beyond to service each caller's needs, utilizing every touch point as an opportunity to build value and The Hartford brand.
• Assisting customers over the phone.
• Must have the ability to learn insurance product and processes in training environment.
• Required to commit to the training and work schedule.
• Have a dedicated workspace free from distractions during work and training hours.

Customer Service Relationship Specialist

Underwriter

• Build relationships and collaborate with cross functional business partners
• Successfully execute, manage and communicate procedural change
• Establish and maintain processes, system, and tool guidance
• Participate in scheduled Prioritization Meetings and Sprint Reviews
• Provide UAT testing support
• Identify areas for process improvement
• Advocate for Voice of Customer (VOC)
• Create and publish communications for customers
• Facilitate problem-solving and collaboration between underwriting and other departments
• Improve consistency of underwriting guidelines and ensure compliance

Business Consultant – Underwriting Best Practices, Employee Benefits

Business Development Rep

• Drive sales activity on consolidation quotes by engaging agents through outbound phone and email outreach to advance quoted opportunities toward placement.
• Execute outreach aligned to Consolidation and Small Business Unit design, as well as The Hartford (HIG) and agency parameters.
• Manage contact timing and frequency based on quote maturity, premium size, and additional needs surfaced through agent discussions.
• Review consolidation quotes prepared by the Consolidation team to understand coverage, pricing position, and competitive considerations prior to agent engagement.
• Identify Account Executives with multiple policies that should be addressed through a coordinated sales conversation to improve consolidation outcomes.
• Prepare for agent conversations by evaluating selling points, coverage differentiators, payroll billing considerations, My Account features, and other value elements to support sales discussions beyond price.
• Answer coverage and appetite questions and reinforce Hartford appetite boundaries across Standard Products, Global Specialty, Excess & Surplus, and Flex offerings.
• Engage agency partners directly to confirm intent, overcome objections, and move consolidation quotes to placement.
• Request pricing adjustments when needed by coordinating with Underwriting and internal partners to support closing activity.
• Communicate agent feedback to Partner Managers and Underwriting when business does not move forward, including clearly documenting reasons for lost opportunities.
• Track, organize, and manage consolidation sales activity using CRM and calendaring tools, including engagement status, next steps, and outreach cadence, to ensure strong pipeline management, visibility, and consistent execution.
• Achieve established sales performance expectations tied to consolidation engagement, wins and successful transition to HIG.
• Demonstrate ownership of results by proactively identifying and addressing barriers that prevent opportunities from closing.
• Support additional sales initiatives as needed, including Book Quoting Commitments and large account activity.

Senior Small Business Development Representative

• Provide comprehensive insurance solutions
• Evaluate risk
• Confidently ask for the sale while overcoming objections

Licensed Inbound Sales Center Insurance Agent, Personal Lines

• Providing comprehensive insurance solutions
• Evaluating risk
• Confidently asking for the sale while overcoming objections

Inbound Sales Center Insurance Agent, Personal Lines

• Support new client acquisition and annual premium sales goals.
• Contribute to sales strategy through prospect analysis and market data.
• Support the Director of Sales in preparing and refining sales forecasts by analyzing pipeline activity and client performance metric data.
• Build and manage a prospect pipeline through targeted outreach, research, and prospect profiling.
• Run the RFP process end-to-end—aligning data needs, coordinating inputs, and delivering timely, competitive responses.
• Represent GRP at industry events and client meetings to build credibility, strengthen intermediary connections, and reinforce our value proposition.
• Monitor key competitors and market dynamics, summarizing insights that sharpen positioning and differentiate GRP.
• Deliver sales training on GRP products and services and share relevant industry, regulatory, and competitive insights with clients and internal partners.
• Partner with Marketing to align campaigns, messaging, and materials that support sales goals and strengthen GRP’s market presence.

Assistant Director of Sales – Business Development, Group Reinsurance

Security Engineer

• Establish the enterprise direction, strategy, and architecture for securing the company’s use of Artificial Intelligence.
• Set the enterprise vision for scaling AI securely and staying ahead of AI‑enabled threats.
• Own architectural authority for AI security technologies and design enterprise‑wide security patterns and guardrails.
• Define the enterprise AI security risk framework and supporting control architecture.
• Lead security architecture strategy to defend against AI‑enabled attacks.
• Partner with AI Platform and Data leaders to embed security controls in MLOps and LLMOps.
• Own enterprise security architecture across cloud, application, data, identity, DevSecOps, and third‑party domains.
• Operate a mature, outcomes‑focused security architecture governance model.
• Serve as a trusted executive advisor to senior leaders regarding AI and cyber risks.
• Lead, coach, and develop a high‑performing security architecture organization.

Vice President, AI Security, Enterprise Security Architecture

Consultant

• Join our team of underwriters
• Collaborate with underwriters and leaders
• Shape the future of employee benefits
• Help protect the things that matter most

Senior Underwriter Consultant – GRP Employee Benefits

Machine Learning Engineer

• Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
• Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
• Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
• Accountable for deployment design, development and maintenance of both traditional ML and AI models.
• Work with junior engineers and peers to provide mentorship and thought leadership.
• Be comfortable presenting new concepts to technical audiences.
• Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams
• Delivery of critical milestones for model deployment in the AWS and GCP clouds.
• Adopt and promote MLOps best practices to the Data Science community.

Senior AI Machine Learning Engineer

Artificial Intelligence

• Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or value streams.
• Translate enterprise and Small Business AI priorities into multi‑year portfolio roadmaps and investment plans.
• Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval‑augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.
• Lead and develop high performing teams of AI scientists and engineers.
• Build leadership bench strength through succession planning, coaching, and capability development.
• Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio.
• Reinforce shared expectations for quality, evaluation rigor, and production readiness.
• Provide portfolio‑level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence.
• Ensure consistent adoption of approved AI standards, patterns, and guardrails.
• Review and thoughtfully evaluate portfolio‑level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade‑offs across quality, grounding, latency, cost, scalability, and regulatory risk.
• Accountable for consistent application of evaluation and monitoring practices across the portfolio.
• Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs.
• Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure‑mode analysis, and incident response expectations.
• Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.
• Set portfolio‑level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout‑aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability.
• Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.
• Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners.
• Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced.
• Escalate material risks, trade‑offs, and investment decisions to VPs with clear options and implications.
• Partner with senior leaders across the Business, Technology, Transformation Office, Finance, and HR to align Applied AI delivery with business outcomes.
• Influence portfolio funding, prioritization, and workforce planning through evidence‑based assessments of delivery performance, evaluation outcomes, and risk considerations.
• Oversee portfolio‑level planning, dependencies, resourcing, and financial stewardship.
• Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes.
• Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.