Sr. Process Owner Artificial Intelligence

$105,920 - $158,880/Yr

The Hartford - Hartford, CT

Full-time - Mid Level

Remote - Hartford, CT

10,001+ employees

Insurance Carriers and Related Activities

About the position

The Senior Process Consultant of Artificial Intelligence will join the Strategy and Optimization team at The Hartford, focusing on delivering business strategy through effective process management and continuous improvement. This role involves leading efforts to leverage Generative AI, Predictive Analytics, and Machine Learning to enhance operational processes and services, ensuring that the Voice of Customer and Voice of Employee are central to all changes. The position can be performed in a hybrid or remote work arrangement, with a strong emphasis on collaboration across functions to drive innovation and efficiency.

Responsibilities

• Aids with the design, development, and implementation of strategies and tactics for effective and efficient process management and continuous improvement.
• Lead the implementation of generative AI capabilities to transform business processes and services.
• Puts Voice of Customer (VOC) and Voice of the Employee (VOE) at the center of all process changes.
• Ability to lead others through change including new system enhancements; business process decisions; and future visions.
• Executes continuous improvement of operational level processes including tactical and operationally driven changes to the process using lean methodology.
• Creating, managing, and updating a Continuous Improvement Plan and process.
• Executing and managing continuous improvement projects and activities.
• Redesigning the process represented in a future state map and translating it into continuous improvement activities.
• Partner with business leads to map out current-state and maintain future-state business-process flows of customer attributes across customer-journey touch points and channels.
• Develop, with business input, KPIs that determine health of the processes.
• Partners closely with multiple business areas to develop solutions that will meet the need of our customers and employees, identifying opportunities for innovation and developing business-centric solutions.
• Communicate complex AI concepts and strategies to non-technical stakeholders in a clear and compelling manner.
• Mentor junior team members and foster a culture of continuous learning and innovation.
• Act as an advocate for innovation within the organization, promoting a culture of experimentation.
• Facilitate workshops and meetings to gather requirements and feedback from various business units.
• Lead and/or support projects and initiatives across Operations including validating business requirements, determining/validating staffing, and expense impacts of projects, and communicating project status.
• Assess the strengths and opportunities of projects to drive efficiency and improvement.
• Manage and monitor project timelines to deliver desired outcomes and business results.

Requirements

• Bachelor's degree or higher in Data Science, GenAI or related field required.
• Minimum 2 years strategic project management experience with demonstrated experience in implementing Generative AI, Predictive Analytics, Machine Learning, and Automation Tools within a business context.
• Excellent written, oral and presentation skills at all levels within the organization.
• Strong ability to manage complexity and ambiguity.
• Possesses strong technical expertise and a solid understanding of leveraging technology to enhance business processes.
• Experience in developing and utilizing measurement methodologies to evaluate business outcomes.
• Thrives in a dynamic, fast-paced environment.
• Eager to embrace new challenges and acquire new skills as needed.
• Able to build and foster strong working relationships; persuasive / able to influence others.
• Critical thinking skills - applies sound judgment; able to troubleshoot.
• Sound data analytics expertise with the ability to synthesize data and develop solutions.
• Strategic thinker - hypotheses development and analysis, and conclusion generation.

Benefits

• Short-term or annual bonuses
• Long-term incentives
• On-the-spot recognition