Dir Risk Consulting & Service Execution

The Hartford•Washington, DC

1d•$143,680 - $215,520•Hybrid

About The Position

The Director, Risk Consulting & Service Execution leads the evolution and execution of The Hartford’s risk consulting model. The role translates risk mitigation priorities into practical consulting methods, service tools, dashboards, coaching routines and scalable solutions that strengthen customer outcomes, underwriting value and profitable growth. This leader partners across Risk Engineering, Underwriting, Innovation, Digital, Data & Insights, Product Development, Marketing and Operations to embed high-quality risk consulting into everyday practice and ensure new capabilities are adopted, measured and continuously improved.

Requirements

Significant experience in Risk Engineering, insurance, risk management, consulting, service delivery, transformation, product or solution adoption, or a related discipline.
Demonstrated ability to translate business direction into practical tools, operating standards and sustainable execution practices.
Proven ability to coach and influence leaders and teams in a matrixed environment.
Strong business acumen with the ability to connect customer needs, risk mitigation, underwriting priorities and operational execution.
Strong analytical, communication, facilitation, change leadership and problem-solving skills.
Bachelor’s degree or equivalent experience.
Relevant professional designation or certification is preferred.

Responsibilities

Advance risk consulting and the service model: Shape the future Risk Services consulting model across digital, virtual and onsite channels, increasing the reach, personalization and impact of risk advice. Lead the ongoing evolution of consulting methods and service delivery across digital, virtual and onsite channels. Develop and improve service frameworks, playbooks, dashboards, job aids and operating standards that enable targeted, needs-based customer engagement. Ensure the model differentiates The Hartford through measurable risk reduction, customer resilience, underwriting confidence and business value.
Drive service execution and accountability: Set clear standards for service planning, consulting quality, solution adoption, follow-through and customer impact. Identify execution gaps and coordinate actions that move work from assessment and recommendation to implementation and outcomes. Use data, dashboards and customer feedback to improve prioritization, execution discipline and performance.
Build future-ready consulting capability: Define and embed the capabilities Risk Engineering leaders and consultants need to succeed in an AI-enabled, insight-led service environment. Coach leaders to build customer centricity, proactive consulting, storytelling with data, digital fluency, innovative thinking, business acumen, emotional intelligence and human-plus-AI judgment. Establish coaching, calibration and experiential-learning routines that strengthen active listening, risk prioritization, decision facilitation and customer influence. Use service observations, customer feedback and performance insights to identify individual, team and enterprise capability gaps and translate them into focused development actions.
Scale innovation and risk mitigation solutions: Partner with Innovation, Digital, Data & Insights and technical teams to turn promising ideas and pilots into practical, scalable customer solutions. Integrate capabilities such as water mitigation, telematics, digital advice and emerging tools into service planning and customer engagement. Define adoption, implementation and measurement approaches that demonstrate whether solutions are changing customer risk and creating business value.
Lead change and continuous improvement: Develop communication, learning and change strategies that build readiness, reinforce future-ready behaviors and sustain adoption. Create governance, roles, decision rights and operating routines across matrixed initiatives. Measure service quality, capability adoption, customer action and business outcomes, using insights to refine the model and accelerate improvement. Anticipate emerging customer, industry and risk trends and translate them into service-model, capability and solution priorities.