The Hartford

Director

• Champion adaptability and a positive change mindset across teams, driving accountability and sustained adoption.
• Design and implement strategies that reduce resistance and accelerate adoption of key initiatives.
• Act as a transformation coach, reinforcing leader accountability for adoption while supporting employees through change.
• Stay attuned to cultural and behavioral misalignments to ensure leadership team is positioned to reinforce change outcomes.
• Balance strategic oversight with hands on support to reinforce momentum and amplify results.
• Lead cross-functional teams in the development and execution of change management plans.
• Operate within a decentralized change model, where agile teams own day-to-day change execution.
• Establish structure, standards and expectations that enable teams to drive effective change.
• Partner with business, product, and technology to align transformation efforts.
• Translate complex changes into clear, user-centered communication that drives understanding and adoption.
• Build transparent and cohesive communication strategies that create predictability and consistency across initiatives and teams.
• Ensure technology implementations are aligned and supported by deliberate user adoption strategies and communication plans.
• Leverage best-practices, data-driven insights and observations that continuously assess what is working, what is not and why.

Director, Change, Adaptability & Communication – Global Specialty

Consultant

• Ability to identify and drive meaningful improvement within the Claims organization.
• Monitor metrics and identify trends, actively participating in a cross functional team to understand root causes.
• Opportunity to connect newsworthy macro trends to claims trends and operational performance.
• Drive progress and consult on important initiatives through engagement in the Auto Value Stream.
• Compile monthly reporting exhibits and deliver insights to segment and actuarial leaders at monthly meetings.
• Develop presentation material for a senior leadership audience.

Senior Consultant, Performance Analytics – Auto Physical Damage Claims

Business Intelligence Developer

• Design, develop, and deliver analytic capabilities for the Global Specialty business area
• 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
• Deliver high-priority or advanced BI, data, and analytical capabilities
• Manage individual workload effectively while maintaining clear communication with team members and leadership
• Identify, troubleshoot, and escalate data or analytics issues
• Translate stakeholder feedback into actionable improvements
• Partner with IT, data, and other BI organizations

Business Intelligence Consultant

Full-stack Engineer

• Involve in design and development of GenAI-powered applications, creating POCs and prototypes to validate ideas and accelerate delivery
• Drive significant usage of GenAI tools to consistently ship products, improve software delivery speed, and enhance coding practices
• Write clean, maintainable code and perform code reviews to ensure quality and strong test coverage
• Actively share knowledge and collaborate with peers on GenAI techniques, modern engineering practices, and agile methodologies
• Experiment with cutting-edge GenAI technologies to create new capabilities and improve operational workflows

Software Engineer

Backend Engineer

• Lead engineering teams to drive the transformation of Employee Benefits application landscape
• Develop applications with Java and J2EE technologies
• Use Micro Services, JMS, XML, JSON, JDBC etc.
• Identify and implement standards and best practices for AWS deployment
• Design reusable architectures and services
• Implement software architecture patterns in Cloud
• Mentor junior Cloud and Software Engineers

Senior Staff Software Engineer – Java, Gen AI, AWS

Data Scientist

• Perform model validations of critical models used across The Hartford’s functional areas and lines of business to ensure models are performing effectively and efficiently
• Ensure model calculations are accurate and appropriate for intended use
• Assess key data inputs and assumptions for accuracy and appropriateness
• Review model outputs for accuracy and appropriate downstream usage
• Deliver effective challenge to key modeling elements such as inputs, calculations, outputs, conceptual soundness, monitoring & controls, documentation, etc.
• Identify findings and recommendations to mitigate model risk, compile clear, concise and well-structured model validation reports, perform in-depth assessments of model risk, perform governance accountabilities related to findings tracking, remediation testing, and validation
• Build strong working relationships with key partners across the enterprise, including Data Science, Property & Casualty, Group Benefits, HIMCO, and a number of Corporate functions
• Pro-actively stay informed of department initiatives, deliverables, and reporting
• Assist in improving The Hartford’s Model Risk Management function, by monitoring external environment, implementing best practices, recommending process improvements, and evolving standards/guidelines

Actuarial, Data Science Model Validation

Platform Engineer

• Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools
• Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies
• Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services
• Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies
• Develop and promote best practices in AI, ML, and data engineering across teams
• Architect and design end-to-end solutions at a component level
• Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
• Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance
• Provide technical mentorship and career growth opportunities for team members
• Review work of systems-level engineers to calibrate deliverables against project and business expectations

AI Platform Engineer – Google Cloud Platform

• Sets Life and AD&D strategy, in collaboration with the Employee Benefits Senior Leadership Team: Responsible for The Hartford’s Product Roadmap
• Identifies and addresses long-term business opportunities to impact growth and profitability
• Identifies and evaluates new product opportunities to expand The Hartford’s portfolio
• Proactively leverages competitive intelligence to ensure a competitive market position
• Leads key initiatives across the broader Group Benefits organization, including: New product development and upgrades and updates to existing products
• Enrollment strategies to increase product participation
• Operating upgrades needed to succeed in the marketplace (e.g., IT investments, product investments, customer experience changes)
• Effective spokesperson for the product suite both internally and in the external market
• Ensures products and operations remain compliant with all applicable federal and state laws and regulations
• Leads & inspires Product Management team and provides cross-functional leadership of aligned functional resources across the matrix
• Trains and develops direct reports, as well as key cross-functional support staff.
• Creates a positive work environment, with a focus on execution, teamwork and inclusion
• Develops current & future leaders for Group Benefits and The Hartford overall.

Product Director, Life/AD&D

• Oversee the underwriting process for multinational risks
• Collaborate with internal teams to ensure alignment
• Develop strategies and guidelines to manage risk
• Enhance underwriting capabilities through training and mentorship

Managing Director, Multinational

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

• Assist in monitoring application performance trends (cloud & on-Prem) and identifying opportunities to improve performance and/or availability
• Facilitate team meetings and capturing action items
• Assist in Performance Testing of critical applications in their cloud migration journey

Performance Engineering and Observability Intern

IT Support

• Claim Specialists are able to independently and timely manage all aspects of the most complex, high-value claims while exhibiting a detailed knowledge of the claim, a well-reasoned analytical focus and a clear strategy for resolution.
• The candidate must share their expertise and contribute to broader claim goals by participating in audits, projects and training initiatives.
• Provide proactive communications to customers and business partners in the management and resolution of claims;
• Respond to inquiries from customers and provide superior customer service;
• Review and analyze multiple complex policies and coverage parts (including general liability, umbrella/excess liability and affirmative pollution coverages);
• Write and articulate clear, concise and accurate coverage positions;
• Conduct investigations regarding claims and/or lawsuits;
• Effectively manage litigation and counsel, inclusive of litigation planning/budgeting, and proactively position claims for resolution;
• Develop and persuasively articulate complex coverage, liability and damage assessments;
• Provide detailed impactful recommendations to leadership;
• Pursue and finalize coverage and liability risk transfer against other liable parties and insurance carriers;
• Conduct complex negotiations and articulate coverage/liability positions;
• Attend mediations and trials as necessary;
• Proactively manage accurate expense, reserve and financial transactions;
• Consistently maintain up-to-date claims metrics.

Complex Claims Unit Specialist – Environmental Claims

Data Engineer

• Actively lead and develop a team of data engineers to deliver and maintain reusable and sustainable data assets and production pipelines that assist the functional business units in meeting their strategic objectives
• Collaborate with Data Scientists and Product Owners to advise approaches to business opportunities
• Develop the design and vision for data pipelines and testing frameworks, both batch and real-time to meet business needs while balancing maintainability, reliability, security, and scalability.
• Provide guidance on and independently navigate data warehouses, understand data architectures, and join disparate data sources to ensure quality and appropriateness of data solutions.
• Lead the use and development of GitHub best practices for version control, documentation, and code collaboration throughout the data science lifecycle and ensure solutions align with best practices
• Contribute to and execute a multi-year roadmap to build and remediate enterprise-grade data assets leveraging cloud-based target state technology and architecture
• Drive disciplined innovation by balancing a relentless focus on delivering results and customer adoption with out-of-the-box thinking and a continuous improvement mindset
• Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)

Director of Data Engineering, Data Science Team

Actuary

• Complete reserve studies and advise management on reserve decisions
• Develop and maintain monitoring tools such as actual loss vs expectation and reserving diagnostics
• Initiate and participate in the development of procedures to improve data quality
• Seek out innovative approaches and apply R/SQL skills to enhance existing processes

Global Specialty Reserving Actuary

Cloud Engineer

• Design and implement cloud-based database architectures that meet application requirements and organizational goals
• Collaborate with application teams to architect scalable, secure, and high-performing cloud database solutions
• Partner with the Cloud Engineering and Site Reliability Engineers to integrate database CI/CD pipelines into their application deployments
• Have in-depth knowledge of designing and building automation for database provisioning and repetitive tasks using infrastructure as code tools
• Develop and maintain disaster recovery and high availability strategies
• Proficient at preparing deployment and standard operational procedure manuals
• Manage source control, branching strategies, and CI/CD workflows using GitHub
• Automate the monitoring and alerting of database performance and availability
• Evaluate new product releases and make recommendations on implementation of newest versions
• Provide second-level support for troubleshooting production incidents