The Hartford

Financial Planning and Analysis

• Underwrite and actively pursue new business, servicing the needs of our brokerage partners on an account by account basis.
• Serve as a key member of Hartford Financial Lines local region, reporting directly to a Managing Director on the Diversified/Financial Services Team.
• Focus on management and professional liability products for public and large private financial services institutions.
• Responsible for products including primary and excess directors & officers liability, errors & omissions liability, fiduciary liability and employment practices liability.

Underwriting Director, Financial Institutions

Scrum Master

• Facilitate all the Agile/SCRUM ceremonies - DSU's, Sprint planning, Sprint reviews, Retrospective/Sprint demos
• Partners with the Product Owner, IT Delivery Lead and Business leadership to form execution delivery plans and manage progress and facilitates release planning
• Organizes and facilitates ceremonies, identifies improvement opportunities to optimize velocity and quality while mitigating risk
• Reports to Release Train Engineer and works closely with the RTE for overall delivery of Agile release train PI objectives
• Partners with the Product Owner to ensure the backlog items are prioritized based on business value and ready for the team
• Tracks and communicates the overall team progress providing visibility to stakeholders
• Serves as a filter to remove impediments to progress as identified by the team
• Assessing the Scrum Maturity of the team and organization and coaching the team to higher levels of maturity, at a pace that is sustainable and comfortable for the team and organization
• Building a trusting and safe environment where problems can be raised without fear of blame, retribution, or being judged, with an emphasis of healing and problem solving
• Motivate the team to be disciplined and accountable for ensuring the Agile tools(Rally/JIRA) hygiene is maintained

Senior Scrum Master

Machine Learning Engineer

• Design, build, and maintain AI components and data pipelines that support applied AI use cases
• Contribute to the development and operation of batch and real-time data/AI pipelines supporting AI model training and inference
• Implement and maintain production AI assets in alignment with defined architecture, coding standards, and operational practices
• Collaborate closely with senior Applied AI Engineers, Data Engineers, Architects, Scientists to implement approved solution designs
• Support deployment, monitoring, and maintenance of AI services and workflows in production environments
• Apply established CI/CD, testing, and observability practices to ensure solution quality and reliability
• Assist in identifying, integrating, and validating data sources to ensure data quality and suitability for AI and analytics use cases
• Participate in code reviews, design discussions, and knowledge sharing to continue developing applied AI and data engineering expertise

AI/ML Engineer, EB Applied AI and Analytics

Artificial Intelligence

• Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or lines of business.
• Translate enterprise and business-unit AI priorities into multi-year portfolio roadmaps and investment plans.
• Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency.
• Lead and develop Sr. Directors and Directors.
• Build leadership bench strength through succession planning, coaching, and capability development.
• Provide portfolio-level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence.

AVP, Applied AI

Insurance

• Drive Financial Results and deliver topline growth at target margins
• Oversee state management of Auto, Home, and Umbrella products
• Seek out drivers of poor performance and improve results
• Create a monitoring cadence for assigned states and present results

Personal Insurance Lead

Legal Assistant

• Utilize appropriate software to timely prepare, e-file, and serve (as appropriate) correspondence, briefs, motions, pleadings, discovery, deposition notices, and other documents required by Washington, Oregon, and Idaho state courts, and sometimes federal court systems
• Maintain and manage attorney calendars, including scheduling deadlines, court dates, and depositions, using Outlook calendaring tools
• Assist attorneys as needed in preparation for trial
• Provide extensive scheduling and calendar coordination, including depositions and client meetings
• Review electronic mail daily and respond or route as appropriate
• Maintain electronic legal files in a paperless environment
• Process invoices for payment
• Leverage AI tools and systems, where applicable, to support document drafting, organization, and workflow efficiency
• Demonstrate professional diplomacy in all interactions with clients, opposing counsel, attorneys, teammates, claim partners, and court personnel
• Assist in overall office support as needed, including case matching, mail handling, electronic filing, PDF creation and compilation, file conversion, and related tasks

Senior Legal Assistant

Attorney

• Provide leadership within the staff counsel office
• Build and maintain internal and external relationships
• Provide oversight, audit and guidance on case handling
• Manage personal caseload
• Conduct suit analyses and frequent reviews of staff law office files
• Evaluate talent for performance cycles
• Compile and analyze data and statistics for preparation of business reports
• Identify issues of client, claim or corporate implications
• Recruit, hire, develop and retain legal staff and support staff
• Ensure adherence to all quality, customer service and litigation management standards

Assistant Managing Attorney

Operations

• Lead the Process Improvement capability within DAIO, focused on improving efficiency, quality, and delivery outcomes.
• Act as a change leader, partnering with cross‑functional teams to embed Lean and Agile ways of working.
• Identify, prioritize, and lead high‑impact DAIO process improvement initiatives, leveraging optimization, automation, and artificial intelligence to improve efficiency, quality, speed, and decision‑making while delivering measurable business results.
• Apply structured improvement methodologies (Lean, Six Sigma, Agile, Hoshin, or hybrid approaches) to drive standardization and consistency.
• Partner with senior leaders to translate strategic goals into actionable initiatives with clear success measures.
• Develop and maintain roadmaps that align improvement efforts to enterprise and DAIO priorities.
• Establish and manage key performance indicators (KPIs) and balanced scorecards to track progress and outcomes.
• Accountable for aggregation and development of executive‑level materials and insights that inform leadership decision‑making.
• Establish and maintain performance metrics and reporting that provide transparency into process health and outcomes.
• Lead root cause analysis for performance gaps and guide teams through structured problem‑solving.
• Ensure consistent tracking of initiatives, milestones, risks, and dependencies.
• Lead and develop a small team focused on process improvement and operational excellence.
• Coach leaders and teams on Lean and Agile principles, practices, and behaviors.
• Foster a culture of continuous improvement, accountability, and learning.

Director, DAIO Process Improvement – Agile

Analyst

• Provide exceptional customer service by maintaining a dedication to meeting the expectations and requirements of internal and external customers
• Work within a fast-paced environment that directly interacts with internal and external customers to retrieve or relay information relevant to the FMLA claim
• Utilize critical thinking and mathematical aptitude to gather information, apply sound reasoning and draw appropriate conclusion
• Utilize business acumen and technical expertise to make sound decisions based upon a mixture of analysis, experience and judgment, with management oversight
• Help to create a positive team environment that achieves Group Benefit Claims Diversity and Inclusion initiatives and objectives

Ability Analyst

Executive Assistant

• Manage a complex calendar including prioritization, scheduling, and conflict resolution; coordinate meeting logistics (agendas, pre-reads, rooms, technology) and track follow-ups.
• Draft, edit, and coordinate executive-ready communications and meeting materials; prepare and update presentations and documents as needed.
• Arrange domestic travel and manage itinerary changes; prepare and reconcile expenses accurately and in compliance with policy.
• Serve as a point of contact for internal and external stakeholders; maintain organized records and executive tracking tools (e.g., OneNote), including key documents and distribution lists; partner with cross-functional teams to coordinate deliverables and ensure meeting readiness.
• Support planning for leadership meetings, offsites, and broker/agent events (logistics, attendee coordination, and materials).

Executive Assistant, Middle & Large Business

Risk

• Lead the identification and management of application‑level technology risks, including secure design, SDLC controls, configuration weaknesses, dependency risks, and operational resilience.
• Provide risk oversight across the end‑to‑end application lifecycle, including requirements, architecture, development, testing, release, and production support.
• Assess risks introduced through modern engineering practices, including agile delivery, DevOps, CI/CD pipelines, APIs, cloud‑native services, and third‑party integrations.
• Partner with application, platform, and security teams to promote adherence to security, infrastructure, and engineering control expectations.
• Evaluate data risk and sensitive data exposure within applications, including unauthorized access, data leakage, improper transmission, retention weaknesses, and aggregation risk.
• Provide risk guidance on AI, GenAI, and automation use cases, with emphasis on data sourcing, access governance, explainability, monitoring, and emerging regulatory or ethical risks related to technology.
• Maintain awareness of evolving risks associated with AI adoption and emerging technologies, ensuring they are incorporated into application risk assessments and governance.
• Maintain strong understanding of infrastructure and cloud dependencies (e.g., identity and access management, logging and monitoring, network security, encryption, resiliency) that directly influence application risk.
• Serve as a trusted risk partner to CIOs and senior technology leaders, supporting informed decision‑making while enabling delivery.
• Own and deliver application and data technology risk reporting for senior leadership, highlighting trends, concentration risk, and systemic control gaps.
• Lead, coach, and develop a team of technology risk professionals focused on application and emerging technology risk.

Director, Application & Data Technology Risk

Underwriter

• Lead production underwriter for the territory.
• Profit and loss responsibility for the book of business within the region.
• Supervises a regional team of underwriters, though remains accountable as the ultimate manager of the book of business.
• Sets the surety business plan for the region, in line with the Surety LOB strategy.
• Initiates marketing activities with agents, brokers, and customers.
• Recruits, hires, and develop underwriters within the territory, both experienced and trainees.
• Manages recommendations for surety programs.
• Prepares budgeting, business plans, and expense management.
• Monitors and manages the quality of the surety portfolio towards profitability.

Regional Surety Bond Underwriting Manager

• Collaborate with internal and external stakeholders to obtain and share information related to long-term disability claims.
• Deliver outstanding customer service through professional written and verbal communication.
• Collect and analyze information, applying critical thinking and mathematical skills to make sound decisions and draw accurate conclusions.
• Apply business acumen and technical expertise to make ethical, well-informed decisions based on analysis, experience, and judgment, with management guidance as needed.
• Commit to meeting the expectations and requirements of both internal and external customers.
• Contribute to a positive team culture that supports Group Benefit Claims Diversity and Inclusion initiatives and objectives.

Senior Ability Analyst

Backend Engineer

• Develop applications with Java and J2EE technologies
• Use Micro Services, JMS, XML, JSON, JDBC etc.
• Experience of Web Services (SOAP and Rest) using Java Springboot or Apache Camel
• Identifies, drives and leads in the implementation of standards and best practices on how we deploy applications in AWS
• Designs reusable architectures and services that can be leveraged by agile teams across the program to improve development velocity
• Ability to design and implement new software architecture patterns in Cloud that are scalable, secure and cost efficient
• Use shift left approach to do security, testing and performance in dev cycle
• Develops Infrastructure as Code (IaC) using CloudFormation templates, YAML files, build specifications, and Python Lambda functions
• Highly knowledgeable with hands-on experience of Amazon Web Services
• Implements proactive monitoring and observability to predict and detect abnormal system behaviors
• Mentor junior Cloud and Software Engineers
• Present new ideas to leadership and present on topics to improve the learning of others.

Senior Staff Software Engineer – Java, Gen AI, AWS

Software Engineer

• Act as a strategic risk advisor, partnering with clients to proactively identify emerging risks and cocreate practical, value-added mitigation solutions
• Demonstrate customer centricity and empathy by tailoring recommendations to each client’s industry, risk profile, and business priorities
• Conduct risk assessments and consultations across multi lines of insurance using onsite, hybrid, and virtual/digital delivery models
• Develop and execute data driven service plans that address loss drivers, operational exposures, and client business objectives
• Translate complex technical findings into clear, compelling insights using storytelling with data for clients, agents, and underwriting partners
• Leverage digital tools, analytics, and emerging technologies (e.g., dashboards, virtual tools, AI enabled insights) to enhance service quality, efficiency, and customer experience
• Collaborate cross functionally with underwriting, claims, sales, data, and technical experts to deliver integrated risk solutions
• Identify opportunities to expand Risk Services offerings and support profitable growth
• Engage in continuous learning to stay current on industry trends, emerging risks, and evolving technologies
• Mentor, coach, and support less experienced risk engineering consultants as appropriate by role level