Senior Asset Owner

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford seeks energetic and passionate Senior  Asset Owner to lead AI Platform Team to support Applied AI and Enterprise AI use cases. Our AI Platform team has developed industry-leading capabilities, driving streamlined processes and smarter decision making. We support a variety of functions including Actuarial, Product, Underwriting and Sales. As a Asset Owner within the AI Platform organization, you will play a significant role in ensure reliable, reproducible architecture patterns and standardization of the ML and Agentic AI operational pipelines on the GCP and AWS cloud.

We are looking for talent who embraces our core values:
 

• We build solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.

• We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.

• We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.

• We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.

• We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.

Responsibilities

• Define and maintain a roadmap for enhancing AI and ML ecosystem to support a rapidly expanding set of use cases, capabilities, and environments.

• Build Strategy for Agentic AI & ML and become an influencer in promoting best practices to the enterprise AI practitioners.

• Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques to ensure ongoing competitive advantage.

• Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.

• Accountable for ownership of  design, development and maintenance of Model as Service

• Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams

• Collaborate with partner teams to create and maintain Practitioners Guide for AI Platform adoption.

• Own the delivery of critical milestones for model deployment in the AWS cloud.

• Adopt AI Platform best practices within the team and promote to the Data Science and AI practitioners community.

• Participate in Agile ceremonies, define User Stories and collaborate with Scrum Master to execute sprint.

• Provide detailed product status and summary reports to leaders in a regular cadence.

Minimum Requirements

• Must be authorized to work in the U.S. now and in the future.

• Master’s degree in related field or 5+ years of equivalent experience in a research function.

• Experience leading and managing software development teams.

• Good understanding of DevSecOps, MLOps and AgentOps LifeCyle and Agile methodology.

• Experience in end to end model development lifecycle, Gen AI and Agents development from ideation through post production.

• Delivery of critical milestones for model deployment in the cloud will be the primary success criteria for this position. Understanding the Data Science Model Development Process (CRISP-DM) and the IT Software Development Lifecycle (SDLC) is essential for this role.

• Familiar with Solution Design and Architecture of data and ML pipelines.

Preferred Skills:

• Familiarity with GCP, Vertex AI, AWS,  Sage Maker, Python Flask.

• Experience working with Docker, Kubernetes and EC2 environment.

• Basic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn, H20,

• Demonstrable interest in data science or predictive analytics

• Ability to work well with a distributed team

• Experience with Scrum and Agile framework.

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age