The Hartford

Business Intelligence Developer

• Drive execution of the data & analytical capabilities roadmap to solve current business challenges and unlock new opportunities
• Create new and/or enhance existing dashboards and visual analytics that empower business partners to make informed, data-driven decisions
• Deliver high-priority or advanced BI, data, and analytical capabilities that support enterprise goals and innovation
• Manage individual workload effectively while maintaining clear and proactive communication with team members and leadership
• Identify, troubleshoot, and escalate data or analytics issues to ensure timely resolution and maintain data integrity

Business Intelligence Consultant

Strategy

• Drive successful change adoption and measurable business outcomes across The Hartford’s small to mid-sized employee benefits segment
• Partner closely with the Priority Business Leadership Team and cross-functional stakeholders
• Develop and execute tailored change strategies for PB initiatives
• Track and report change activities and readiness across PB value streams
• Create and deliver change tools, playbooks, and training
• Lead stakeholder engagement routines to assess preparedness and drive alignment
• Lead internal and external communications for PB change initiatives

Director, Change Management – Priority Business Strategy & Programs

Analyst

• Obtain information from the claimant, employer, and medical provider(s) to make Long-Term Disability decisions
• Analyze medical and financial information to determine eligibility for benefits
• Provide exceptional customer service using professional written and verbal communication skills
• Maintain a dedication to meeting the expectations and requirements of internal and external customers
• Help to create a positive team environment that is inclusive to all employees

Senior Ability Analyst – Long Term Disability

Customer Support

• Provide excellent customer service by answering customer questions about disability and leave management claims.
• Initiate claims according to claims best practices, as assigned and provide exceptional customer service.
• Promote digital self service capabilities.
• Utilize multiple computer applications to accurately document claim information.
• Take ownership to ensure that we go above and beyond to service each caller's needs.

Customer Care Representative

DevOps Engineer

• Lead the design, implementation, and optimization of reliable systems and infrastructure.
• Collaborate with software engineering, operations, and product teams to ensure uptime and availability targets are met.
• Develop and maintain monitoring, alerting, and incident response strategies to detect and resolve issues quickly.
• Conduct root cause analysis of system failures and drive corrective actions to prevent recurrence.
• Advocate for reliability best practices and foster a culture of proactive risk mitigation across the organization.
• Mentor and provide technical guidance to other reliability engineers and cross-functional team members.
• Develop automation tools to enhance efficiency in deployment, monitoring, and recovery processes.
• Participate in capacity planning, performance testing, and disaster recovery exercises.
• Stay current with industry trends, emerging technologies, and best practices in reliability engineering.

Staff Reliability Engineer

Attorney

• Responsible for handling litigation.
• Analyze legal and factual issues, conduct extensive, well-reasoned legal research, independently develop and present defense strategies on behalf of clients.
• Prepare pleadings, written discovery, depositions, motions and briefs in support of defense strategies with supervision.
• Provide effective and timely communications, information, legal advice and other services to clients and claims on legal and factual issues.
• Communicate with the court, witnesses, opposing counsel and co-counsel in a manner consistent with established office procedures.
• Responsible for the prompt, efficient and effective disposition of assigned cases.
• Independently prepares and presents witnesses and evidence at trials, judicial and administrative hearings, arbitrations and alternative dispute resolutions.
• Attend CLE seminar.

Associate Staff Attorney, Workers Compensation

Solutions Engineer

• Design end-to-end AI-driven platforms for underwriting and risk assessment
• Leverage machine learning, NLP, and predictive analytics to create intelligent workflows
• Partner with data scientists, engineers, and business leaders
• Implement best practices for data governance, security, and regulatory compliance
• Build modular, cloud-native architectures

Solution Architect – AI Solutions for Business Insurance

Data Engineer

• Participate in developing high quality, scalable software modules for next generation analytics solution suite
• Engage in activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
• Formulates logical statements of business problems and devises, tests and implements efficient, cost-effective application program solutions
• Identify and validate internal and external data sources for availability and quality
• Work with SMEs to describe and understand data lineage and suitability for a use case
• Create data assets and build data pipelines that align to modern software development principles for further analytical consumption
• Perform data analysis to ensure quality of data assets
• Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources
• Assist in developing code that enables real-time solutions to be ingested into front-end systems and platforms
• Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other data science teams.

Data Scientist

• Lead WC Modeling: Serve as the model owner for Workers’ Compensation predictive models, ensuring alignment with pricing 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 pricing workflows.
• Cross-Functional Collaboration: Partner with Actuarial, Data Engineering, Underwriting, and Product teams to connect modeling initiatives with pricing 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 Workers' Compensation predictive models are efficiently integrated into core data and system platforms.

Director of Data Science

Risk

• Serve as our Catastrophe modeling domain expert and business partner for our portfolio in Latin America
• Deliver catastrophe modeling and analytical support for Latin America property treaties within tight turnaround times
• Review and validate broker and client submission data and engage proactively with brokers/clients modelling teams to resolve data and modeling queries
• Maintain ongoing communication with underwriting teams to understand business needs
• Develop and implement reporting and data solutions for exposure management
• Support catastrophe event response efforts
• Collaborate with underwriting and IT to improve exposure capture processes
• Contribute to the development of the company’s view of catastrophe risk
• Contribute to our 1/1, 4/1 and 7/1 roll up review
• Work with our Enterprise Risk Management team on modelling deliverables and updates throughout the year
• Identify and implement opportunities to streamline the data capture and modelling process with AI or automation
• Communicate modeling insights clearly and effectively to both technical and non-technical stakeholders, including senior leadership
• Contribute to our retrocession planning process.

Senior Catastrophe Risk Modeling Analyst

• Analyzing complex legal and factual issues.
• Conducting extensive research and developing well-reasoned legal strategies.
• Independently creating and presenting defense strategies on behalf of clients.
• Preparing complex pleadings, written discovery, depositions, petitions for reconsideration, and trial briefs.
• Collaborating with Claims Partners to achieve optimal outcomes for clients.
• Providing timely and effective communication, legal advice, and support to clients.
• Facilitating the prompt and efficient resolution of cases.
• Independently preparing and presenting witnesses and evidence in trials, hearings, arbitrations, and alternative dispute resolution proceedings.
• Researching, drafting, filing, and arguing appellate briefs.

Staff Attorney, Senior Staff Attorney – Workers Compensation

Account Executive

• Conducting high volumes of quality sales calls with targeted production partners over the phone
• Establishing a sales call continuum where sales topics are generated from prior sales calls and executed with a set agenda designed to achieve specific outcomes
• Creating demand and excitement for The Hartford products and services offered for small businesses
• Educating partner producers and brokers on The Hartford group benefits small business products and services
• Maintaining a disciplined operating routine and sales process designed to ensure consistent execution of highly effective sales practices
• Developing and maintaining an effective pipeline of business opportunities to quote
• Establishing an adequate day-to-day flow of cases to meet company and agency growth objectives
• Effectively managing multiple initiatives, projects, and tasks focused on creating desired outcomes in the territory.

Sales Executive

• Lead day-to-day Agile execution for multiple advanced analytics teams; leverage proficiency in Agile frameworks (SAFe, Scrum, Kanban) to drive iterative delivery, transparency, and continuous improvement across teams and value streams
• Serve as change agent for DSAIA integration and embeddedness into the GS value stream model
• Build strong partnerships with business customers and technology partners and act as key point of contact for Data Science & Engineering portfolio and assets
• Partner with APMs and business leaders to refine features and roadmap priorities
• Translate vision and strategic roadmap into incremental plans, sprint goals and prioritized execution work (in partnership with technical leaders); ensure backlog items reflect customer needs, business goals, and technical feasibility
• Assist in development of team and product vision, strategic planning, success criteria, CBA and value propositions for Data Science & Engineering assets
• Assist with the communication plan and marketing strategy of the portfolio and key capstone initiatives; execute well-designed communication plans tailored to audiences ranging from technical peers to business stakeholders of various levels

Technical Product Owner – Global Specialty Data Science, AI, Analytics

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
• Communicating 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

Software Engineer

Backend Engineer

• Design and develop solutions that are scalable, highly available, fault tolerant and easily maintainable.
• Develop data pipelines, extracting and transforming data, conducting analyses, developing insights, and delivering actionable recommendations to stakeholders in a clear and concise manner.
• Design and develop high quality, scalable data assets that support contemporary BI tools and advanced analytics.
• Prototype high impact innovations, catering to changing business needs, by leveraging Cloud and Big Data technologies.
• Deliver business solutions using state of the art technical frameworks, web and database technologies.
• Proactively address technical issues and risks that could impact project schedule and/or integrity of the application environment.
• Work closely with stakeholders to design and implement solutions that align with the business needs and are consistent with the architectural vision.