The Hartford

Full-stack Engineer

• Define and lead the AI engineering strategy aligned to enterprise technology
• Own end-to-end software engineering reimagination and deployment of AI-first tools
• Ensure AI-first software solutions are engineered for security, resiliency, and sustainability
• Establish and evolve AI-first engineering standards, patterns, and best practices
• Drive adoption of AI-assisted development tooling to improve productivity
• Partner with Architecture and Platform teams to define reusable AI engineering reference architectures
• Drive acceleration and efficiency using AI across software engineering teams
• Partner with Data & AI, Risk, Legal, and Compliance teams for governance

AVP, Software Engineering Lead

Claims Specialist

• 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.
• Providing support to field offices to assist field personnel with coverage and liability analysis, time limit demands, extra contractual exposure evaluations and other issues of complexity
• Work with business partners to evaluate and address claim trends and developments
• Address inquiries from agents and policyholders, providing superior customer service

Personal and Advertising Injury Liability Claims Specialist

Account Manager

• Supports Commercial Underwriting in the sales acquisition process
• Provides support for new business and renewal policy account coordination, review, essential services, rating, prepare work orders for quoting and issuance of middle market business
• Serves as the point of contact for agents in handling inquiries and requests
• Communicates with customers to request needed information and resolves problems
• Responsible for supporting the Underwriter in the sales acquisition process through a variety of services that may include account coordination, new business and renewal policy essential services, report ordering, preliminary classification of new business, and data collection
• Responsible for reviewing, preparing work orders for rating and issuing policies
• Applies screening criteria in accordance with guidelines
• Communicates with customers to obtain needed and required underwriting information and resolves problems
• Supports sales efforts and strategies
• Responsible for handling high volumes of transactions
• Effectively balance quality, and timeliness while working alongside the Underwriter to Manage a Book of Business
• Multi-task, prioritize and manage daily work activities
• Organizes work, based on AM/UW Huddles, recognition of Top Agents, and territorial differences, so that others can easily determine what needs to be done and effectively continue the work and respond to customers as needed
• Maintains an effective pending/diary/follow-up system

Account Manager – Programs Loss Sensitive

Analyst

• Process wire transfers, ACH debits & credits, and credit card transactions.
• Review EFT forms to ensure they are complete and accurate, and execute EFT entered transfers accurately within the designated timeframes.
• Support the transmission of EFT files between business partners and The Hartford’s treasury management system, bank web portals, and bank partners.
• Confirm and communicate receipt of EFT file confirmations.
• Perform research with banking partners of unapplied EFT transactions.
• Communicate effectively with the Treasury team, business partners, and banking staff regarding current and future money movements, and resolve customer inquiries promptly.
• Must be alert for any suspicious or fraudulent activity.
• Support quarterly audits by providing internal/external auditors with appropriate EFT documentation.
• Participate in the collection, input, reconciliation, and reporting of data from various systems.
• Identify, recommend, and assist in implementing opportunities for continuous improvement, increased efficiency, and best practices.
• Support process improvements and business partner initiatives through participation in various projects and performing regression testing.
• Interact with various disciplines across The Hartford, including billing, claims, and investment operations.
• Provide personal information to financial institutions or other entities as required in support of the position’s responsibilities.

Senior Treasury Analyst

Business Development Rep

• Achieve divisional performance goals, including new written premium, total written premium, profitability, and submission flow metrics.
• Lead compensation reviews and performance initiatives with distribution partners to drive profitable growth.
• Set and manage territory goals through disciplined sales planning aligned to agency objectives.
• Own the territorial sales plan in partnership with underwriters and designated distribution partners.
• Lead divisional sales activity, including agency visits (in person and virtual), pipeline management, risk triage, and binding of new and renewal business.
• Translate national Middle Market strategy into effective local execution to capture targeted market share.
• Identify and share market intelligence and evolving distribution trends with underwriting and leadership partners.
• Build strong internal relationships across Underwriting, Product, Service, and Claims to deliver results.

Business Development Representative, Middle Market Underwriting

Data Analyst

• Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders.
• Work together with internal partners, determine needs, gather requirements, and develop solutions for data assets and reporting.
• Performs requirements planning, monitoring and requirements management.
• Independently performs rigorous data analysis, data discovery and data profiling using industry standard querying tools (SQL) to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience.
• Maintains data mapping documents, bus matrix and/or other data design artifacts that define business data requirements and transformation rules.
• Act as liaison and advisor/consultant between the business and IT stakeholders providing thought leadership.
• Lead responsibility in mentoring, instructing, assigning, directing, and checking the work of Business Data Analysts within their group.
• Acts as a change leader to help and drive implementation of industry best practices.
• Provides support and consulting by answering questions, researching possible solutions to complex problems, and fostering open communication between the customer and development team.
• Identifies logical, relevant business, data relationships between complex topics in the broader context of own project or functional area.
• Identifies choices and improvement opportunities to better align own work with the direction and strategic priorities of the broader organization.
• Conduct root cause analysis on identified issues, providing assistance to resolve data quality problems.
• Supports the upkeep of data mapping documents and other design artifacts that outline business requirements and transformation rules.
• Foster a positive work environment by exemplifying cultural values and encouraging others to promote collaboration, accountability, diversity, and continuous improvement.

Senior Business Data Analyst

• Manage complex primary and excess financial lines claims under claims-made policies
• Plan, recommend, reserve, and execute file strategies including investigation, valuation, and disposition of assigned claims
• Appropriately escalate matters to Team Lead/management per escalation protocols
• Maintain current knowledge of claim loss cost management initiatives
• Obtain first-hand customer information and utilize it for improvements in products and services
• Utilize verbal and numerical critical thinking skills to gather information and make sound decisions

Senior Claims Analyst – Allied Health Professional Liability

• Lead engineering teams to successfully drive the transformation of the application landscape.
• Work on an agile team and partner with a vendor to achieve business outcomes.
• Demonstrate strong leadership skills and excellent partnership.
• Deliver quality technical solutions and execute on a strategic technical vision to ensure systems are stable, performant, and secure.

Senior Staff Software Engineer

Engineer

• Lead the design and execution of enterprise-scale semantic layers to standardize business meaning and enable trusted analytics, AI, and Agentic use cases.
• Define and operationalize ontologies, context graphs, and knowledge graphs across domains to power reasoning, explainability, and decision intelligence.
• Enable semantic-first AI and Agentic analytics, ensuring LLMs and agents can consume governed business context, metrics, and rules.
• Define canonical semantic vocabularies that standardize meaning across structured and unstructured data sources.
• Drive production-scale execution of semantic and knowledge platforms with strong standards for performance, governance, security, and lifecycle management.
• Evangelize Agentic Data Engineering, driving adoption through patterns, playbooks, and real-world deployments across the enterprise.
• Define and promote standards and best practices for semantic modeling and ontology reuse across delivery teams.
• Partner with architects and engineers to embed semantic models into data products, AI pipelines, and activation layers.
• Work closely with AI Data Architects and AI Data Engineers to operationalize ontologies into production systems (e.g., via graphs, metadata services, APIs).
• Align ontologies with enterprise data governance, lineage, and quality standards.
• Enable explainability by ensuring AI outputs can be traced back to governed semantic definitions.
• Serve as the enterprise authority on semantic engineering and ontology practices.
• Contribute to communities of practice, reference guidance, and internal enablement materials.

Knowledge Graph Engineer, Ontologist

Data Engineer

• Lead the strategy and execution of complex and large Data and Analytics portfolio.
• Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.
• Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders and promote data capabilities through thought leadership and presentations.
• Responsible for implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
• Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
• Define and operationalize ontologies, context graphs, and knowledge graphs across domains to power reasoning, explainability, and decision intelligence.
• Ensure semantic-first AI and Agentic analytics, ensuring LLMs and agents can consume governed business context, metrics, and rules.
• Drive production-scale execution of semantic and knowledge platforms with strong standards for performance, governance, security, and lifecycle management.
• Identify and champion AI augmented productivity improvements across the end-to-end data management lifecycle.
• Stay current with emerging trends in Agentic AI and data engineering and lead proof-of-concepts and early pilots for emerging data and AI augmented technologies to accelerate speed to market.
• Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.
• Effectively manage the budget and financials for the portfolio.

AVP, AI Data Engineering, Customer Data Ecosystem

• Serve as a data and financial manager within the IT Claims & Operations organization.
• Support Lean Portfolio Management (LPM) practices while engineering future IT portfolio operations.
• Focus on the intersection of portfolio analytics and engineering enablement.
• Partner with technical teams to develop scalable processes and automated usage patterns.
• Maintain the interface between Agile delivery metrics and traditional corporate financial requirements.
• Collaborate with Finance and Executive Leadership on strategic budget planning, project tracking, and financial variance reporting.
• Develop innovative reporting presentations utilizing automated and AI-enhanced interactive dashboards.
• Design and deploy new tools and processes that automate financial reporting and integrate portfolio data.
• Actively engage with delivery teams to assist with portfolio management and align strategy themes.

Portfolio Analyst – Lean Portfolio & Enablement

Artificial Intelligence

• Lead Enterprise AI Literacy Learning
• Governance for Learning Collaboration Team Tools & Processes
• Identify & Pilot Innovative AI Learning Tools

Director, Enterprise AI Learning, Governance, Innovation

• Work with internal and external customers to retrieve and relay information relevant to leave management claims.
• Provide exceptional customer service using professional written and verbal communication skills.
• Gather information, make sound decisions and draw appropriate conclusions using critical thinking and mathematical aptitude.
• Utilize business acumen and technical expertise to make ethical decisions based upon a mixture of analysis, experience and judgment, with management oversight.
• Maintain a dedication to meeting the expectations and requirements of internal and external customers.
• Help to create a positive team environment that achieves Employee Benefit Claims Diversity and Inclusion initiatives and objectives.

Leave Management Ability Analyst

• Handling a caseload of complex, high exposure, auto and general liability claims throughout the claim’s life cycle
• Conducting investigations and analyzing and evaluating the information learned
• Making coverage determinations and communicating written position(s) to insureds and other required parties
• Setting appropriate expense and indemnity reserves and monitoring on a regular basis for any needed adjustment
• Presenting cases to management for authority above established levels
• Developing and implementing resolution strategies to achieve high quality outcomes
• Proactively managing litigation and counsel, including planning and execution, budgeting and bill review
• Attending trials and mediations as necessary
• Contributing to broader claim and enterprise goals

Auto and General Liability Claims Specialist

Product Manager

• Lead product execution for the Service Transformation ART, consisting of ~6–8 agile teams
• Own and maintain a strategic, prioritized program backlog aligned to business vision, service outcomes, and customer friction across current-state processes
• Set and execute product strategy for the ART aligned to Employer Experience and Service Transformation objectives
• Own prioritization decisions, balancing customer impact, operational outcomes, financial benefit, risk, and capacity
• Make independent tradeoff decisions related to scope, sequencing, and prioritization within the ART
• Lead, coach, and develop a team of APOs; build product management capability and hold teams accountable for outcomes and delivery at pace
• Own the health, readiness, and flow of the program backlog across multiple teams. Ensure backlog is outcome focused, and considers service strategy, customer insights, and operational pain points
• Guide the ART through PI planning and objective setting, linking execution to business intent
• Integrate AI-enabled capabilities and agentic workflows into regular product delivery practices to improve speed, quality, and PDLC outcomes
• Promote rapid prototyping, iteration, and experimentation using AI agents to inform solution direction and reduce time to value
• Represent the voice of the customer and the voice of the business across the ART