The Hartford

Backend Engineer

• Provide technical leadership and enforce the vision of the application architecture
• Skilled in Power BI and SSRS report development, including drill-down, drill-through, sub-reports, and custom expressions.
• Experienced in designing, developing, and turning raw data into actionable insights using interactive dashboards and reports.
• Safeguard the integrity of the application environment in alliance with architects and other tech leads
• Participate in all parts of SDLC- Analysis, Design, Development, Testing and Deployment.
• Design and develop complex SQL, SSIS, SSRS code after writing detailed technical design specification.
• Writing Scalable code in .NET (C#) application.
• Drive technical innovation through newly identified and leading technologies
• Possess functional knowledge of Financial systems and work with Business and deliver with highest technical quality.
• Support and quickly respond to Production issues and requirements especially during month-end.
• Manage, Integrate and deploy code in multiple environments.
• Support financial month-end activities.
• Prepare comprehensive technical requirements for the development team and oversee their completion.

Lead Database Developer – SQL, SSIS, SSRS

Account Executive

• Take inbound phone calls on warm leads (no cold calling)
• Pre-qualify and classify applicants
• Provide coverage consultation to small business owners
• Consult on small business lines coverage
• Work as an effective team member in a high performing sales culture
• Deliver excellent service and provide tailored insurance solutions

Licensed Small Commercial Insurance Inside Sales Consultant

Cloud Engineer

• Engineer and maintain cloud-native solutions using AWS services and third-party vendor platforms
• Develop and optimize automated workflows for document ingestion, classification, extraction, and validation
• Integrate components with enterprise systems, ensuring seamless data flow and operational reliability
• Lead performance tuning and cost optimization efforts across cloud infrastructure
• Implement monitoring, alerting, and fault-tolerant mechanisms to ensure platform resilience
• Collaborate with software engineers, data scientists, and architects to align capabilities with business goals
• Author and maintain technical documentation, including architecture diagrams, deployment guides, and operational runbooks
• Evaluate emerging technologies and contribute to platform roadmap discussions

Senior Cloud Engineer – Intelligent Document Processing

Accountant

• Handling a caseload of third-party Accountants and Miscellaneous Professional Liability (MPL) claims, from inception to final disposition.
• Conducting investigations and analyzing and evaluating the information learned.
• Appropriately and accurately analyzing and determining coverage, liability and damages based upon the facts of each claim.
• Writing and communicating to insureds in regard to coverage, liability, damages and other issues.
• Setting appropriate expense and indemnity reserves and monitoring on a regular basis for any needed adjustment.
• Presenting cases to management for expense or indemnity reserve authority above established authority levels.
• Developing and implementing resolution strategies through negotiations to achieve high quality outcomes.
• Proactively managing litigation and counsel, inclusive of litigation planning and execution, budgeting and bill review.
• Understanding and analyzing potential extra-contractual liability as needed.
• Attending trials and mediations as necessary.
• Contributing to broader claim and enterprise goals by participating in audits, projects, training and product development initiatives.
• Preparing comprehensive reports and delivering presentations to senior claim leadership on case developments, policy issues, industry trends, etc.
• Providing support and working collaboratively with business partners to evaluate and address claim trends and developments.
• Addressing inquiries from agents and policyholders, providing superior customer service.
• Providing key training and marketing support to Underwriters.

Claims Consultant – Accountants and Professional Liability

Director

• Lead and coach a team of Relationship Managers, fostering engagement, professional growth, and an inclusive environment.
• Execute strategies that drive profitable growth, persistence, and exceptional customer experience across a portfolio of national accounts.
• Oversee renewal readiness, stewardship, and performance guarantee delivery, ensuring all client commitments are met on time.
• Orchestrate collaboration with underwriting, claims, billing, technology, and reporting teams to deliver integrated client solutions.
• Serve as the initial escalation point for complex client and broker issues and drive timely, effective resolution.
• Champion continuous improvement initiatives to enhance relationship management processes and best practices.
• Ensure market-facing activation plans are met, supporting ongoing customer and enrollment strategies.
• Track and report on team performance, upcoming renewals, escalated issues, and add-issue projections.
• Ensure all direct reports maintain required licenses for their territories and support ongoing professional development.
• Deliver clear leadership messaging, represent the field perspective to internal partners, and facilitate team huddles and 1:1s.

Assistant Director, Relationship Management

Data Engineer

• Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data
• Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns
• Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment
• Ingest and process large-scale datasets into the Enterprise Data Lake and downstream systems
• Curate and publish Data Products to support analytics, visualization, and machine learning use cases
• Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics
• Apply best practices for data modeling, governance, and security across all solutions
• Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes
• Monitor and fine-tune data pipelines for performance, scalability, and reliability
• Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity
• Develop self-healing pipelines with robust re-startability mechanisms for resilience
• Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M
• Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes
• Lead Proof of Concepts (POCs) and technology evaluations to drive innovation
• Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices
• Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure
• Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets.

Senior Staff AI Data Engineer – Tech Lead

• Support Voluntary Account Executives in the RFP process for new National Account business (5000+ lives)
• Accountable for overseeing the timeline from RFP receipt to RFP delivery
• Monitor RFP activity and prioritize opportunities for VAEs
• Conduct high-level RFP reviews and coordinate with internal teams to route RFP information to appropriate cross-functional partners
• Collaborate with VAEs, underwriters, and Sales Support Consultants to clarify questions and secure all required data for proposals
• Partner with Presale to review content, when needed, and help to coordinate proposal or RFI submissions (when applicable)
• Partner with cross-functional teams to complete RFP requirements, including proposal review, questionnaires, and sample document collection
• Work with Underwriting to ensure RFP templates and rate grids are completed upon broker request and collaborate on rerate requests
• Assist with proposal review to ensure accuracy for RFP delivery
• Deliver proposal responses and declinations as needed
• Partner with VAEs to ensure newly sold business is accurate and updated for customer sign-off
• Support VAEs when out of office to ensure opportunities continue to move through the process
• Provide backup to other VSC teammates as needed
• Partner with the local market team, including Regional Account Executives, Underwriting, Quote Specialists, Presale, and other internal Hartford partners
• Troubleshoot proposal errors and help solution to resolve process gaps
• Identify opportunities for process improvement and efficiency
• May represent team/function in interdepartmental projects; new product and service rollouts, compliance/legal issues, best practice/procedure changes

Voluntary Sales Consultant

Data Scientist

• Create statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems
• Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations
• Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
• 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
• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
• Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
• Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions

• Modernize legacy data assets by migrating and re-engineering them into modern cloud solutions (AWS, GCP, Snowflake) for scalability, security, and cost efficiency
• Design, develop, and optimize ETL/ELT pipelines for structured and unstructured data, ensuring resilience and high performance
• Build and manage data pipelines leveraging cloud services such as AWS Glue, EMR, Redshift; GCP BigQuery, Dataflow; and Snowflake
• Curate and publish Data Products to support analytics, visualization, machine learning, and Generative AI use cases
• Implement DataOps practices for automated deployments, CI/CD integration, and continuous delivery of data solutions
• Apply best practices for data modeling, governance, and security, ensuring compliance with enterprise standards and regulatory requirements
• Establish and enforce Data Governance frameworks, including:
• Data Quality Management
• Metadata Management
• Data Lineage Tracking
• Integrate AI/ML models into data pipelines, enabling real-time scoring, feature engineering, and model retraining workflows
• Enable Generative AI capabilities by embedding LLMs into data workflows for intelligent automation and advanced insights
• Develop and deploy AI Agents for automated decision-making and conversational analytics
• Lead Proof of Concepts (POCs) and pilot initiatives for emerging technologies—beyond GenAI—such as real-time streaming, AI agents, and next-gen data platforms
• Develop and maintain BI dashboards and visualization solutions using tools like Power BI or Tableau to deliver actionable insights
• Monitor and fine-tune data pipelines for performance, scalability, and reliability using advanced observability tools
• Automate auditing, reconciliation, and data quality checks to maintain high data integrity
• Develop self-healing pipelines with robust re-startability mechanisms for resilience
• Schedule and orchestrate complex workflows using tools like MWAA, Autosys, or Control-M
• Champion continuous improvement and innovation by adopting emerging technologies in DataOps, AI/ML, and cloud engineering.

Senior Staff Data Engineer – Tech Lead

• Lead and mentor Data Engineers to deliver and maintain reusable and sustainable analytical processes that assist Actuarial Modelers in meeting their strategic objectives
• Learn and coach Machine Learning and MLOps, Engineering, and Insurance Business concepts & terminology, applying that knowledge for the best fit-to-purpose solution.
• Anticipate team and individual growth needs, identify relevant opportunities and coach direct reports and peers accordingly
• Regularly engage in continuing education, including the development of project and people management skills
• Consult with cross-functional stakeholders in the analysis of short and long-range business requirements and recommend modernization that anticipates future business needs
• Own and lead engineering projects, leveraging agile software development practices to manage work and communicate status
• Assess business needs and lead the development of reliable and effective solutions, that are catered to specific business needs and easily maintainable
• 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
• Design and develop high quality, scalable software modules for next generation analytics solution suite that serves advanced statistical models and tracks key metrics
• Enhance and maintain model and data monitoring solutions that deliver automated insights to technical and non-technical audiences
• 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
• Proactively accesses technical issues and risks that could impact speed, functionality, flexibility, or clarity.
• Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management

Manager, Data Engineering

• Partner with senior business leadership as a strategic advisor, delivering actionable insights and evaluating the success of enterprise strategies.
• Develop and implement cohesive strategies, multi-year roadmaps, and execution plans to achieve growth and profitability objectives.
• Drive Data-Informed Decisions: Leverage market research, performance analysis, competitor intelligence, and customer insights to inform creative, high-impact decisions.
• Lead Strategic Problem-Solving: Drive innovative solutions and ensure execution with urgency to deliver measurable results.
• Communicate with Clarity and Influence: Translate complex insights into clear, actionable recommendations for senior leaders and key stakeholders.
• Champion Strategic Thinking: Engage senior leaders in meaningful discussions that generate innovative ideas, influence critical choices and advance enterprise strategy.
• Ensure responsiveness to the Board of Directors, Rating Agencies, and other strategic imperatives, partner on annual Board presentations.
• Monitor Competitive Landscape: Analyze market position and emerging external capabilities to identify opportunities and accelerate business growth.

Director of Strategy – Middle and Large Business

Claims Specialist

• Conduct investigations to determine coverage, assess damages, and identify subrogation/salvage opportunities.
• Interpret and apply policy language to commercial property losses.
• Evaluate exposures and set accurate, timely reserves.
• Manage claims from first notice through resolution with proper documentation and financial accuracy.
• Negotiate fair settlements with policyholders and involved parties.
• Handle structural damage estimates, personal property losses, and business income/time‑element claims.
• Deliver clear, empathetic, high‑quality customer service.
• Collaborate with underwriting, legal, sales, and external vendors.
• Maintain regulatory compliance and leverage technology for efficiency.
• Contribute to continuous improvement and mentor peers when appropriate.

Business Insurance Property Claims Adjuster

• Join a nationally recognized team protecting small businesses
• Take inbound phone calls on warm leads and provide coverage consultation
• Work as an effective team member in a high performing sales culture
• Operate with a customer-focused approach delivering tailored insurance solutions

Consultant

• Managing a caseload of litigated and non-litigated construction claims under commercial general liability policies.
• Conducting investigations and analyzing and evaluating the information learned.
• Making coverage determinations and communicating written position(s) to insureds and other required parties.
• Within prescribed authority levels, setting appropriate expense and indemnity reserves and monitoring on a regular basis for any needed adjustment.
• Presenting cases to management for expense or indemnity reserve authority above established authority levels.
• Developing and implementing resolution strategies to achieve high quality outcomes.
• Proactively managing litigation and counsel, inclusive of litigation planning and execution, budgeting and bill review.
• Attending trials and mediations, as necessary.
• Contributing to broader claim and enterprise goals by participating in audits, projects and product development initiatives.
• Preparing comprehensive reports and delivering presentations to senior claim leadership on case developments, policy issues, industry trends, etc.
• Working with business partners to evaluate and address claim trends and developments.
• Addressing inquiries from agents and policyholders and providing superior customer service.

Claim Consultant – Complex Claims

Vice President

• Managing a team of underwriters
• Managing 2 Managing Directors (and 1 indirectly) who assist in managing the territory and staff
• Manages the profit and production of a book of construction business for Guaranteed Cost, Loss Sensitive, Wrap Up, and Excess Construction P&L
• Oversees Construction and MLC/HIG cross sell efforts
• Responsible for risk selection and participation in referrals on Loss Sensitive, Wrap and larger more complex guaranteed cost accounts
• Builds strategic partnerships with key Construction agents, brokers and clients
• Develops and implements segment sales plans
• Maintains insight into competitors
• Directs and manages team performance to ensure consistent practice of sales excellence discipline
• Manages the flow and mix of business to optimize outcomes
• Attracts, selects and develops high caliber diverse talent
• Manages staff continuity by anticipating staffing needs
• Establishes book vision, appetite and monitor pricing and production
• Ensures adherence to underwriting practices and guidelines

Lead Database Developer – SQL, SSIS, SSRS

Licensed Small Commercial Insurance Inside Sales Consultant

Senior Cloud Engineer – Intelligent Document Processing

Claims Consultant – Accountants and Professional Liability

Assistant Director, Relationship Management

Senior Staff AI Data Engineer – Tech Lead

Voluntary Sales Consultant

Data Scientist

Senior Staff Data Engineer – Tech Lead

Manager, Data Engineering

Director of Strategy – Middle and Large Business

Business Insurance Property Claims Adjuster

Licensed Small Commercial Insurance Inside Sales Consultant

Claim Consultant – Complex Claims

Regional Vice President, Construction