The Hartford

Product Manager

• Own the overall health of the team backlog, ensuring features and stories are well-defined, prioritized, and ready for development
• Own the prioritization of all features and stories to ensure close alignment with digital outcomes and objectives
• Own the breakdown of the epics into features and document clearly and timely for refinement and PI planning
• Partner with process and business analysts to have clear, concise user stories and acceptance criteria documented and aligned to features and priorities
• Lead and/or participate in backlog refinement, sprint planning, and daily execution support
• Partner with the team to clarify requirements and remove blockers
• Identify and implement continuous improvement opportunities within the team's Agile processes
• Collaborate with Agile Product Managers and senior Product Owners to execute against the product roadmap
• Ensure delivered features meet defined acceptance criteria and business expectations
• Assist in coordinating dependencies and aligning work across teams
• Work closely with engineering, UX, and business partners to ensure shared understanding of requirements
• Communicate effectively and confidently with stakeholders on progress, risks/challenges, and delivery outcomes
• Leverage customer feedback, analytics, and stakeholder input to inform backlog priorities

Agile Product Owner

Software Engineer

• Define and execute the observability strategy for The Hartford, ensuring alignment with business objectives and resiliency goals.
• Champion innovation by overlaying AI capabilities into observability workflows—enabling intelligent alert correlation, automated incident summaries, and proactive risk mitigation.
• Oversee enterprise observability platforms including Splunk (logging, dashboards, compliance) and Dynatrace (APM, infrastructure monitoring).
• Establish OTel-first instrumentation standards (traces, metrics, logs), semantic conventions, sampling strategies, and correlation patterns (span-to-log, service-to-customer journey).
• Drive integration with cloud-native services (AWS, GCP, Azure) and containerized environments (Kubernetes, Docker).
• Establish and monitor golden signals, error budgets, and SLOs to ensure top-quartile reliability.
• Implement AI-powered anomaly detection and predictive analytics to reduce alert noise and improve incident response.
• Embed AI-driven automation for: Intelligent log summarization and RCA.
• Automated dashboard generation and KPI insights.
• Conversational interfaces for observability queries using LLMs.
• Define KPIs for observability maturity (e.g., % of apps logging to Splunk, alert coverage, MTTR).
• Ensure compliance with Hartford’s logging and monitoring standards across applications and infrastructure.
• Partner with SRE, Platform Engineering, and Security teams to deliver secure, scalable, and resilient observability solutions.
• Engage with senior leadership to communicate progress, risks, and innovation opportunities.
• Lead and develop a high-performing team that can deliver on goals and objectives.

AVP, Observability Engineering

Backend Engineer

• Design, build, and support end‑to‑end solutions across HR, Law, and Shared Services applications
• Design and implement AI‑enabled and agentic AI application components, including automation workflows and decision‑support capabilities
• Develop and integrate AI/GenAI use cases into existing applications to improve efficiency and enable new business functionality
• Identify opportunities to apply AI and automation across HR and Law workflows and drive delivery of those use cases
• Design and implement robust API‑based integrations and cloud‑native services, ensuring scalability, security, and reliability
• Build and support application components and integrations within the broader application portfolio
• Leverage cloud platforms (AWS primarily, with GCP exposure) to build scalable, AI‑driven applications and integrations
• Contribute to application and integration architecture, ensuring alignment with enterprise standards and long‑term scalability
• Function as a technical subject matter expert across supported applications, technologies, and integrations
• Support analytics and reporting needs, including datasets and Tableau‑based reporting where applicable
• Build and implement CI/CD pipelines aligned with enterprise DevOps practices
• Follow and promote software engineering best practices including version control, automated testing, and documentation
• Troubleshoot and resolve application and performance issues, clearly communicating risks and mitigation plans
• Collaborate closely with team members and partner teams to plan work, manage priorities, and drive outcomes
• Provide mentorship and technical leadership, helping elevate engineering practices and AI adoption across the team

Staff Software Engineer – .NET/AI

Data Scientist

• Create statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions
• Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques
• Use R and/or Python to build, maintain, and support loss models across different lines of business
• Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations and effectively translate results to business initiatives
• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources
• Participate in the creation and deployment of long-term tools to continually evolve the business
• Contribute to the successful implementation of strategies to achieve targeted business objectives
• Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function

• Lead Personal Insurance Actuarial Modeling: Serve as the model owner for personal insurance predictive models within actuarial, ensuring alignment with ratemaking and business priorities.
• Partner on strategic vision while managing team capacity and driving timely model deliverables.
• Model Development & Deployment: Lead design, maintenance, and deployment of predictive models for frequency, severity, and loss cost estimates, ensuring production readiness and effective integration into actuarial workflows.
• Cross-Functional Collaboration: Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling initiatives with ratemaking strategies and organizational goals, promoting shared problem-solving.
• Innovation: Drive modernization through advanced modeling techniques, machine learning, and AI to enhance efficiency and decision-making.
• Lead experimentation with new data sources, features, and methodologies to uncover insights and advance strategic objectives.
• Operational Excellence: Ensure robust documentation, validation, and governance, along with scalable processes to monitor model performance and maintain reliability.
• Talent Development: Mentor and develop team members, fostering a culture of curiosity, ownership, and continuous learning.
• Support hiring and onboarding, including intern and actuarial student rotations.
• Strategic Influence: Participate in enterprise initiatives to ensure personal insurance predictive models are efficiently integrated into core data and system platforms.

Director of Data Science

Cloud Engineer

• Lead projects in AWS and GCP and break down work for engineers
• Identify, drive and lead in the implementation of products and reference implementations to standardize how we deploy applications in AWS and GCP
• Designs reusable architectures and services that can be leveraged by agile teams to improve development velocity
• Knows how applications should be engineered by following fault tolerate best practices, with proper data replications and multi region support
• Develops applications in Python to support automating manual processes and repeatable decision making
• Develops Infrastructure as Code (IaC) using Terraform and CloudFormation templates, YAML files, build specifications, and Python Lambda functions to have a completely automated build and release process for all AWS resource infrastructure and code artifacts
• Highly knowledgeable of Amazon Web Services including but not limited to ECS, RDS Aurora Postgres, Lambda, CloudWatch, EKS, S3, IAM, SNS, SQS, EventBridge
• Ability to design systems and implement new software architecture patterns
• Mentor Cloud Engineers and Software Engineers
• Troubleshoot problems with software and infrastructure
• Automating disaster recovery, high availability, and fault tolerance
• Present new ideas to leadership and present on topics to improve the learning of others
• Communicate clearly and professionally both in speech and in writing

Senior Cloud Engineer – AWS

Implementation Specialist

• The Senior Implementation Consultant is responsible for the project management of National/Regional Accounts case implementations with an emphasis on communication, project and exception management.
• Project managing the implementation of new, add issue cases and services on complex cases and ensuring all business partners complete requirements of the sold case process.
• Project Manage the reimplementation of complex cases with acquisitions and major changes in account structures, ensuring all business partners complete requirements of the reimplementation process.
• Specialist is responsible for accurately gathering data and documentation directly from the broker or customer, from the point of sale through the finalization of the Customers Implementation.
• Attend customer/broker finalist & kick-off meetings in person or telephonically. Facilitates the initial introduction of the implementation process including creation and development of kick off materials.
• Owns the completion and retention of implementation documentation.
• Collaborates with Underwriting on pricing and plan design to ensure sold case proposals match customer needs found during data gathering.
• Responsible for the development of finalist materials specific to Implementation process.
• Presents virtually or in person, the Implementation process to the customer/broker during the pre-sale finalist presentation.
• Adherence to Compliance policies and procedures including but not limited to encryption of emails as appropriate.
• Actively participates in internal roundtables and consultation with the sales exec and internal business partners.
• Responds to internal/external customer calls and correspondence related to the implementation of sold case and add issues.
• Follows through on expressed commitment to the external/internal customers and if commitment cannot be met, provide clear expectations on next steps.
• Researches and resolves customer issues, offering alternative solutions.
• Provides consultation on benefits, plan designs and contract language that have been sold to the customer to ensure deliverables meet the customer's needs.
• Responsible for ensuring customer deliverables are delivered accurately and timely.
• Facilitates PG (Performance Guarantee) negotiations with client/broker and internal disciplines.
• Drafts, negotiates, and distributes initial Agreements and Applications (PG's, ASO, LOI's, etc.) and coordinates client signatures and counter signatures.
• Identify non-standard language, provisions or agreements that require consultation with other business.
• Develop successful customer/broker relationships over a compressed timeframe to facilitate the Implementation.
• Transition the case to field service team upon completion of the Implementation without service disruption to the customer.
• Mentors and trains new team members.
• May be overall project leader for other Implementation Consultants to support large blocks of business.
• May represent Implementation in large interdepartmental projects; new product and service rollouts, compliance/legal issues, best practice/procedure changes.
• Travels to in-person finalist or kick-off calls.

Senior Implementation Consultant

Administrative Assistant

• Provide comprehensive administrative and operational support to the Head of Operations and Head of Global CSPR, enabling efficient day-to-day execution and supporting strategic priorities.
• Communicate professionally and effectively with internal and external constituents, including client-facing interactions as required.
• Manage complex calendars, meetings, and appointments, applying appropriate prioritization and judgment to resolve scheduling conflicts.
• Coordinate domestic and international travel in an efficient and cost-conscious manner; prepare and submit expense reports in compliance with company policy.
• Deliver exceptional customer service and build strong working relationships across Global Reinsurance, CSPR, underwriting, operations, finance, actuarial, and broader enterprise teams.
• Demonstrate a mature and sophisticated approach to information security, data privacy, and confidentiality, with a clear understanding of differing confidentiality requirements by role and situation.
• Prepare, edit, and maintain presentation materials; produce ad hoc reports and support special projects, including outlining project needs, coordinating with multiple stakeholders, and compiling information for leadership review.
• Maintain and manage tracking tools for budgets, projects, events, and key deliverables; prepare summary updates and reports as needed.
• Initiate timely and professional responses to emails, voicemails, and written correspondence on behalf of leaders, as appropriate.
• Support internal and external meetings and events (onsite, offsite, and virtual), including vendor coordination, invitations and RSVPs, agenda planning, meeting materials, welcome gifts, transportation, and budget tracking.
• Partner with leaders to establish event budgets and ensure activities remain within approved spend expectations.
• Leverage available technology and tools to improve administrative efficiency and effectiveness, with openness to learning and adopting new systems or processes.
• Participate as a collaborative team member within the Global Reinsurance administrative community and contribute to broader administrative initiatives as needed.

Senior Administrative Assistant, Global Reinsurance

• Build and optimize ML, deep learning, and GenAI models using modern frameworks (PyTorch, TensorFlow, scikit-learn)
• Design and deliver RAG pipelines, hybrid retrieval systems, and vector-based search workflows
• Develop Agentic AI solutions including tool orchestration, reasoning flows, and safe-execution strategies
• Run structured experimentation using evaluation metrics (BERTScore, BLEURT, semantic similarity, retrieval precision/recall)
• Integrate solutions into GCP (Vertex AI, Workbench, Vector Search) and AWS (SageMaker, Bedrock)
• Build ingestion, enrichment, and semantic retrieval flows for high-quality knowledge and feature engineering
• Partner with onshore and offshore DS/ML engineers to ensure quality, consistency, and shared technical patterns

Applied AI Data Scientist

Account Manager

• Responsible for managing a defined book of business consisting of Regional Account (500-4,999 lives) customers.
• Your primary role is to retain and grow your book of business.
• Proactively support your clients through various interactions including stewardship meetings based on each customer’s needs.
• Develops and executes comprehensive book of business strategies consistent with organizational initiatives, profitability & persistence targets, segment requirements, and individual customer’s needs.
• Make recommendations for changing where appropriate.
• Keeps abreast of client's changing benefits/HR needs/corporate landscape.
• Identifies and coordinates annual enrollment activity/communication requirements.
• Actively supports Book of Business growth objectives by identifying and pursuing opportunities for new and/or increased lines of coverage in conjunction with the Regional Account Executive.
• Partners with Regional Account Executive to educate and develop relationships with Brokers and their staff.
• Drives the renewal process in collaboration with the Regional Account Executive and the Underwriter, engaging other business partners as appropriate.
• Primary liaison between customer, producer and internal partners to ensure customer needs are addressed, bringing in the right resources at the right time.
• Identifies opportunities for process improvement, for the benefit of individual customers and the broader customer base and acts as appropriate.
• Understand and effectively communicate basic underwriting principles, claims experience and pricing justifications to Producers and Customers.

Client Relationship Manager – Employee Benefits

• Develop AI solutions: Create ML and generative AI systems for RAG pipelines, chatbots, classification, forecasting, and recommendation.
• Ensure alignment with enterprise standards, seamless integration, and secure scalability.
• End ‑ to ‑ End Solution Development: Own the AI lifecycle from problem framing through deployment: data prep, modeling, evaluation, model change management, orchestration , observability , drift detection, and synthetic data generation.
• Collaborate closely with AI engineers, data engineers, platform, security, and IT to ensure solutions are robust, maintainable , production ready, follow safety filters/guardrails, and rollback plans.
• Drive execution from discovery to rollout by defining scope, milestones, and acceptance criteria; managing dependencies/risks; coordinating cross-functional workstreams; and maintaining clear status reporting, issue escalation, and delivery timelines.
• Partners closely with Product, Underwriting, Distribution, Risk, Legal, and Compliance to align AI initiatives with enterprise objectives and governance expectations.
• Translates complex model behavior and evaluation outcomes into clear, actionable business insights with defined success criteria (accuracy, cost, performance, reuse, ROI).

Senior Applied AI Data Scientist

Analyst

• Investigate and manage short-term disability and absence claims by gathering and evaluating information from claimants, employers, and medical providers
• Analyze medical, vocational, financial, and claim-related information to support accurate initial and ongoing benefit determinations
• Guide customers through the disability and recovery process, focusing on functional abilities, clear expectations, and supportive communication
• Maintain professional written and verbal communications with internal and external partners to deliver timely, customer-centered outcomes
• Apply critical thinking, sound judgment, and analytical reasoning to assess risk, resolve issues, and make consistent claim decisions
• Collaborate effectively in a fast-paced, team-based environment to retrieve, evaluate, and relay claim-related information
• Leverage technology responsibly to manage claims efficiently, understand the role of technology while applying appropriate judgement, remain aware of potential risks, and support quality outcomes
• Demonstrate empathy and emotional intelligence when navigating difficult conversations and complex situations
• Adapt to change, learn new concepts and tools, and support continuous improvement in an evolving business environment
• Understand how claim decisions interact with other benefit programs to anticipate customer needs and provide accurate guidance

Short Term Disability Analyst

Business Analyst

• Lead current state assessments and future state design for insurance billing and revenue operations
• Own end to end ORMB functional requirements
• Partner closely with Business SMEs and Agile Product Owners to elicit requirements
• Collaborate with QA and UAT teams to define comprehensive end to end billing scenarios
• Mentor and guide junior analysts and team members on billing domain knowledge

Senior Business Analyst – Insurance Billing, Commissions

• Personal meetings and telephone contact with agents, meeting or exceeding sales objectives in growth, and a mix of business and renewal retention in assigned territories.
• Creates demand and enables agents/producers to maximize the flow of desirable business to meet or exceed Hartford financial goals in the territory.
• Builds and maintains strong relationships with agents/producers in an assigned territory to meet or exceed the financial objectives for that territory.
• Enables agents/producers to maximize their revenue through the sale of Hartford products and services by providing tools and information that differentiates The Hartford and its overall value proposition from competitors.
• Exercises discipline and focus on flow management to ensure adequate flow and acceptable business to meet agency and company growth and profit objectives.
• Creates plans to prioritize and leverage agency contact and activity to ensure sustainable flow of desired business.
• Builds actionable Agency Sales Plans that align with Hartford financial objectives for growth, retention, and profit. Utilize data tools to monitor plan results, communicate, and implement actions.
• Maintaining sales administration responsibilities through timely reporting and expense management.
• Follows disciplined sales process and ensure consistent execution of Sales Excellence principles.
• Demonstrates a thorough understanding of an assigned territory, including the right number and mix of agents/producers who have the market opportunity to meet Sales Rep territorial financial objectives.
• Possess a deep knowledge of industry practices, market conditions and competitor information to position the agency to maximize business development. Align Hartford strategies and support (tools, initiatives, resources) to continually increase market share.

Territory Manager, Small Business Sales

Frontend Engineer

• Own end-to-end front-end architecture, design, development, and maintenance of scalable, high-performance web applications using modern UI frameworks (Angular), micro frontends, and cloud-native architectures.
• Provide technical leadership within Scrum teams by defining and enforcing UI architecture principles, coding standards, and best practices aligned with enterprise architecture.
• Act as the front-end subject matter expert across applications, with deep expertise in UI/UX design patterns, component-driven development, accessibility, performance optimization, and cross-browser compatibility.
• Define and implement the overall front-end technical vision, ensuring seamless integration with backend APIs, enterprise platforms, and distributed systems.
• Lead design and development of reusable component libraries, design systems, and front-end frameworks to enable consistency and scalability across products.
• Proactively identify and mitigate technical risks related to performance, scalability, maintainability, and usability.
• Drive adoption of modern engineering practices including micro-frontends, server-side rendering (SSR), static site generation (SSG) and edge delivery.
• Collaborate with cross-functional teams (UX, product, backend, DevOps) to deliver cohesive and high-quality digital experiences.
• Champion automation across the front-end lifecycle including testing, build, deployment, and monitoring.
• Mentor engineers (including sourcing partners) on front-end technologies, clean code practices, and architectural patterns.
• Drive innovation by evaluating emerging technologies, frameworks, and tools to enhance user experience and developer efficiency.
• Enable strong observability practices including front-end performance monitoring, logging, and error tracking.
• Ensure adherence to DevOps practices, CI/CD pipelines, and engineering governance standards.
• Maintain clear, transparent communication regarding technical risks, tradeoffs, and delivery impacts.