The Hartford

Risk

• Produce, maintain, and enhance the Economic Capital model
• Analyze and assess available capital for the Economic Balance Sheet
• Evaluate Economic Capital and Economic Balance Sheet results and share them with senior management
• Assist in producing Economic Scenario Generator simulations
• Streamline and automate data preparation, modeling, and reporting processes
• Collaborate with input providers across the company
• Use the Economic Capital model for strategic business initiatives
• Perform industry research and peer benchmarking
• Compare the Economic Capital model with other capital models
• Support scheduled production and ad hoc Economic Capital use cases
• Analyze and enhance modeling of investment-related risks
• Oversee Economic Scenario Generator activities
• Support the risk appetite framework and model sensitivity analyses
• Support due diligence for mergers and acquisitions and other strategic initiatives

Associate Risk Analyst, Economic Capital

Data Engineer

• Build small or medium-scale data pipelines and data products
• Deliver end-to-end ELT solutions across multiple platforms and technologies
• Influence solution architecture
• Build and implement continuous integration and continuous delivery capabilities aligned with Enterprise DevOps practices
• Influence pipeline tool decisions and support team development
• Establish and follow data engineering practices for pipelines
• Review, prepare, design, and integrate complex data; correct problems and recommend data cleansing and quality solutions
• Provide expert documentation and operating guidance
• Document technical requirements and present complex technical concepts to varied audiences
• Architect, design, prototype, implement, and optimize cloud/hybrid architectures
• Research and use big data methodologies including AWS, Hadoop/EMR, Spark, Kafka, and Snowflake
• Implement and test data processing pipelines and data mining/data science algorithms
• Stay current on emerging data and analytics technologies, tools, techniques, and frameworks
• Evaluate and recommend technology tools and frameworks
• Support project and portfolio strategy, roadmaps, and implementation

Staff Data Engineer

Full-stack Engineer

• Own the end-to-end technology strategy, execution, and continuous transformation of Group Benefits engineering
• Own the end-to-end technology strategy, delivery, and modernization of the Employer Experience value stream
• Partner with business and product leaders to define and execute technology and AI roadmaps
• Lead adoption of AI-assisted development, testing, automation, and operations
• Drive scalable, cloud-native, API-driven technology solutions with Enterprise and Solution Architecture teams
• Align data, analytics, and AI capabilities with business objectives
• Establish modern engineering and DevSecOps practices to improve reliability, security, resilience, and developer experience
• Use outcome-based metrics and engineering productivity measures for transparency and continuous improvement
• Build and lead high-performing engineering teams through workforce planning, organization design, AI-enabled skill transformation, and talent development
• Champion engineering excellence, innovation, customer focus, and responsible AI adoption
• Evaluate emerging AI and technology trends and translate them into practical business capabilities
• Report to the CIO of Employer Benefits Technology

AVP, Software Engineering, Employee Benefits

Head of Department

• Develop and execute strategic and tactical business plans supporting Wholesale priorities and profitable growth
• Translate Wholesale lines-of-business knowledge into strategy for internal teams and external audiences
• Lead business case development, project execution, and delivery for strategic initiatives
• Analyze financial performance across lines of business and use trends to shape strategy
• Review countrywide results, evaluate field execution, and recommend or implement corrective actions
• Develop recommendations to improve profitability, productivity, governance, and operational controls
• Partner with Field Leadership on marketplace trends, broker dynamics, customer needs, and competitive pressures
• Recommend proactive actions related to product, appetite, process, and go-to-market strategy
• Lead technology transformation and capability-building initiatives
• Drive disciplined execution, accountability, and accelerated business outcomes
• Simplify processes, improve operational controls, and increase productivity
• Build and lead high-performing teams with clear priorities and performance expectations
• Lead cross-functional teams through collaboration and enterprise partnership
• Influence stakeholders to align on strategic priorities, solve complex problems, and deliver enterprise and customer value
• Report to the Global Specialty Head of Wholesale Property and Casualty

Wholesale Head of Casualty

Software Engineer

• Partner with technology and investment professionals to deliver innovative solutions
• Design, develop, and enhance a modern enterprise data platform
• Build and support data ingestion, transformation, orchestration, and delivery solutions
• Develop APIs, services, web applications, and automation solutions
• Collaborate with business partners, data engineers, architects, and application development teams
• Integrate internal and third-party data sources while ensuring data quality, governance, and operational excellence
• Apply object-oriented design, automated testing, CI/CD, cloud technologies, and AI-assisted development tools
• Contribute to architecture decisions and shape HIMCO’s data and technology capabilities
• Develop understanding of investment industry and related business processes
• Participate in project planning, clarify requirements, and engage with clients and analysts
• Design, develop, and maintain applications
• Implement quality assurance principles and ensure solutions meet business needs
• Provide ongoing application maintenance and support
• Assist in building the new data platform, including database, ETL processing, and event-driven solutions

Consultant

• Develop and maintain comprehensive staffing models supporting Operations Service/Call Centers
• Determine resource requirements for long-term workload planning
• Identify and detail hiring, schedule, development time, and skilling recommendations
• Conduct variance and scenario analysis
• Act as liaison between Operations, Training, HR, Finance, and Expense business partners regarding staffing and capacity planning
• Establish staff plans and capacity requirements based on data and analytics
• Maintain knowledge of staffing model inputs and methodology
• Collaborate with Operations partners to develop work process time standards
• Conduct planning meetings to communicate capacity needs, risks, opportunities, and results
• Analyze variances, identify business drivers, research and forecast demand drivers, and report findings
• Review forecasts for accuracy and make proactive changes to minimize variances
• Influence and negotiate with business partners and colleagues
• Identify trends, quantify impacts, and communicate business results related to staffing implications
• Respond to what-if scenarios, cost-benefit requests, and staffing-related projects
• Assess the interrelationship between model variables and service-level commitments
• Develop benchmarking metrics to assess efficiency and productivity of staffing levels
• Translate business processes into working staff models
• Participate in model optimization to improve efficiency and resource utilization
• Submit staffing projections for current and outer years for financial outlook and operating plan processes
• Communicate change drivers and obtain leadership approval

Capacity Planning Consultant

Product Manager

• Lead day-to-day agile product execution for one or more agile teams supporting Data Modernization initiatives
• Translate data product vision and modernization objectives into sprint goals, prioritized stories, and measurable outcomes
• Manage the data product backlog
• Break down features into user stories with acceptance criteria and definition of done
• Partner with engineering and architecture teams to define and deliver cloud-based data products and capabilities
• Identify and prioritize opportunities related to data quality, accessibility, usability, and scalability
• Accept completed stories and validate delivered solutions
• Represent the customer, business, and data consumer within agile teams
• Partner with product managers, business leaders, and stakeholders to refine priorities and roadmap objectives
• Define data product requirements, success measures, and adoption goals
• Gather feedback from demonstrations and stakeholders
• Collaborate with Scrum Masters, Architects, Tech Leads, Data Engineers, Analysts, SMEs, and business partners
• Facilitate alignment on data definitions, ownership, business context, and expected outcomes
• Cascade updates and decisions to teams and stakeholders
• Create and maintain product documentation, business definitions, and requirements with the Data Steward
• Support business readiness, change management, adoption, and stakeholder understanding of delivered data products
• Monitor delivery metrics, product outcomes, and team health
• Keep the team aligned to OKRs, modernization objectives, and value stream goals

Agile Product Owner – Global Specialty Data and Analytics

Customer Support

• Provide excellent customer service by answering customer questions about disability and leave management claims
• Initiate claims according to claims best practices
• Promote digital self-service capabilities
• Utilize multiple computer applications to accurately document claim information
• Take ownership to service each caller’s needs and build value for The Hartford brand
• Complete the required multi-week classroom new hire training course
• Work the specified training and post-training schedules

Customer Care Representative

• Act as a strategic risk advisor for Inland Marine clients
• Identify emerging risks and co-create practical risk mitigation solutions
• Tailor recommendations to clients’ industries, risk profiles, and business priorities
• Conduct property risk assessments and consultations across construction work assignments for all lines of business
• Deliver Property Line of Business Risk Engineering practices, with support for Marine and International Multinational Lines where applicable
• Develop and execute data-driven service plans addressing loss drivers, operational exposures, and client objectives
• Translate technical findings into insights for clients, agents, and underwriting partners
• Leverage dashboards, virtual tools, analytics, and AI-enabled insights to enhance service quality and customer experience
• Collaborate with underwriting, claims, sales, data, and technical experts
• Identify opportunities to expand Risk Services offerings and support profitable growth
• Participate in industry association discussions, meetings, training, and webinars
• Mentor, coach, and support less experienced risk engineering consultants as appropriate by role level

Risk Engineering Technical Property Specialist

• Process routine internal and external customer-initiated claim transactions to completion
• Use claim systems and equipment to process incoming and outgoing correspondence
• Assign or reassign claim tasks and customer transactions
• Create or update professional correspondence and documentation within claim files
• Handle inbound and outbound calls professionally and empathetically
• Assist contact centers one day per week or as needed
• Enter and/or assign new claim losses
• Manage daily workload and productivity goals to complete tasks accurately and on time
• Communicate information clearly and concisely
• Provide professional, reliable, and prompt service
• Make timely decisions using appropriate judgment
• Participate in Hartford Way activities, including huddles, 1:1s, and RCPS
• Perform other duties as assigned

Operations Support Specialist, Claims

• Build small- or medium-scale pipelines and data products
• Deliver end-to-end solutions across multiple platforms and technologies
• Leverage ELT solutions to acquire, integrate, and operationalize data
• Provide significant input into solution architecture
• Build and implement continuous integration and continuous delivery capabilities aligned with Enterprise DevOps practices
• Influence pipeline tool decisions and support team development
• Ensure data engineering practices are followed for data pipelines
• Review, prepare, design, and integrate complex data; correct problems and recommend data cleansing and quality solutions
• Provide expert documentation and operating guidance
• Document technical requirements and present complex technical concepts to varied audiences
• Architect, design, prototype, implement, and optimize cloud/hybrid architectures
• Research and use big data methodologies including AWS, Hadoop/EMR, Spark, Kafka, and Snowflake
• Implement and test data processing pipelines and data mining/data science algorithms
• Stay current on emerging data and analytics technologies, tools, techniques, and frameworks
• Evaluate and recommend technology tools and frameworks
• Support project and portfolio strategy, roadmaps, and implementation

• Partner with technology and investment professionals to deliver solutions for information and automation needs
• Build systems and supply data enabling Portfolio Managers, Traders, and Analysts to make investment and financial decisions
• Design, develop, and enhance HIMCO’s enterprise data platform
• Build and support data ingestion, transformation, orchestration, and delivery solutions
• Develop APIs, services, web applications, and automation solutions
• Collaborate with business partners, data engineers, architects, and application development teams
• Integrate internal and third-party data sources while ensuring data quality, governance, and operational excellence
• Apply software engineering practices including object-oriented design, automated testing, CI/CD, cloud technologies, and AI-assisted development tools
• Contribute to architecture decisions and the future direction of data and technology capabilities
• Develop understanding of the investment industry and related business processes
• Participate in project planning, clarify requirements, and engage with clients and analysts
• Design, develop, and maintain applications
• Implement quality assurance principles
• Provide ongoing application maintenance and support
• Assist in building the new data platform, including database, ETL processing, and event-driven solutions

Claims Specialist

• Proactively manage assigned property claims from inspection through damage resolution
• Perform residential and business property inspections in the field, virtually, in local territories, or during catastrophe deployments
• Evaluate damages and review claim information, policy details, endorsements, deductibles, prior damage, photos, imagery, and other documentation
• Prepare accurate estimates, document findings, manage supplements, and issue payments when appropriate
• Own damage-related activity and supplements while applying judgment to resolve light-touch items efficiently
• Partner with Inside Claim Representatives on ownership, handoffs, compliance, customer communications, and claim resolution
• Utilize approved vendors and resources to support quality outcomes, customer service, and expense management
• Support local territory work, catastrophe response, and changing business needs
• Apply property claim expertise, construction knowledge, estimating skills, and Xactimate proficiency
• Exercise judgment and critical thinking when evaluating damages, coordinating inspections, and resolving customer or contractor questions
• Serve as a property damage resource across Personal Insurance, Business Insurance, and Catastrophe Claim Operations
• Leverage AI-powered tools to improve claims handling efficiency, quality, consistency, decision-making, and process improvement
• Build relationships with customers, claim partners, vendors, contractors, and leadership
• Drive resolution, make informed decisions, escalate issues appropriately, and represent The Hartford professionally throughout the claim journey

Outside Claims Representative – CAT

Machine Learning Engineer

• Lead day-to-day engineering execution for the Employee Benefits predictive model portfolio, including pricing and underwriting models, scoring pipelines, model refreshes, monitoring, data validations, and production support
• Build, deploy, and maintain AI/ML components and data pipelines for pricing, underwriting, sales, service, renewal, and policy lifecycle workflows
• Implement approved solution designs and translate design patterns into tested, reliable production code and workflows
• Support generative AI and agentic AI solutions, including prompt orchestration, retrieval-augmented generation patterns, evaluation workflows, guardrails, and ecosystem integration
• Develop and operate batch and near-real-time data/AI pipelines for model training, feature generation, inference, post-processing, business rules integration, and downstream consumption
• Deploy and sustain production AI services, jobs, APIs, and workflows in AWS and GCP using approved CI/CD, testing, observability, security, and operational practices
• Own implementation quality through code reviews, unit/integration testing, documentation, runbooks, production readiness checks, and incident response support
• Guide and mentor junior engineers
• Partner with Data Scientists, Data Engineers, Asset Owners, Underwriting, and Pricing stakeholders to understand requirements, validate outputs, resolve data issues, and fit solutions to business workflows
• Maintain model and pipeline governance artifacts, including lineage, model inputs/outputs, monitoring metrics, validation evidence, operational controls, and handoff documentation
• Identify risks, bottlenecks, and operational gaps and recommend practical improvements

Senior AI Machine Learning Engineer

• Design, build, implement, and support CI/CD pipelines for automated and reliable software delivery
• Develop and manage Infrastructure as Code solutions using Terraform, CloudFormation, or AWS CDK
• Automate infrastructure provisioning, application deployments, environment configuration, and operational processes
• Implement monitoring, logging, alerting, and observability solutions
• Support containerized application deployments using Docker, Kubernetes, ECS, or EKS
• Collaborate with development teams to improve deployment automation, release processes, and operational readiness
• Troubleshoot and resolve infrastructure, deployment, application, and performance issues across multiple environments
• Partner with security teams to implement DevSecOps practices, vulnerability management, secrets management, and compliance automation
• Contribute to cloud architecture reviews and AWS Well-Architected Framework best practices
• Mentor and coach engineers on DevOps practices, cloud technologies, and automation capabilities
• Act as a technical resource and subject matter expert for less experienced colleagues
• Explore and leverage AI-assisted engineering tools and emerging technologies to improve productivity, efficiency, quality, and delivery outcomes
• Evaluate and adopt innovative technologies, automation approaches, and AI-enabled capabilities
• Contribute ideas and best practices for incorporating AI, automation, and intelligent tooling into the software development and DevOps lifecycle
• Partner with Software Engineers, Architects, Product Owners, and Infrastructure teams across development, testing, and production environments

Associate Risk Analyst, Economic Capital

Staff Data Engineer

AVP, Software Engineering, Employee Benefits

Wholesale Head of Casualty

Software Engineer

Capacity Planning Consultant

Agile Product Owner – Global Specialty Data and Analytics

Customer Care Representative

Risk Engineering Technical Property Specialist

Operations Support Specialist, Claims

Staff Data Engineer

Software Engineer

Outside Claims Representative – CAT

Senior AI Machine Learning Engineer

DevOps Software Engineer