Data Scientist
Thomson Reuters
JavaOpen SourcePython
Director and Asset Owner, Employee Benefits Data Science & AI
The Hartford
full-time
Posted on:
Location Type: Hybrid
Location: Hartford • Connecticut, Illinois, New York, North Carolina, Ohio • 🇺🇸 United States
Visit company websiteSalary
💰 $153,200 - $229,800 per year
Job Level
Lead
About the role
- Drive adoption of the EB Data Science, AI, and Analytics portfolio through execution of marketing and communication approaches, drafting presentations for senior leadership, performing business impact analysis, and crafting stories for analytical results across assets’ lifecycle
- Build strong partnerships with business customers and act as key point of contact for several Data Science assets with internal stakeholders
- Identify opportunities to evolve or reuse existing assets or develop new assets that add operational and business value
- Develop communication plans, marketing strategy, and customer artifacts to support adoption (documentation, project plans, road maps, insight briefs)
- Instill disciplined project timelines and support team capacities to deliver timely results
- Execute tailored communication plans for audiences from technical peers to senior business stakeholders
- Develop vision, strategic planning, success criteria, CBA and value propositions for Data Science assets
- Identify gaps and opportunities, devise improved data science solutions to identify risks, enhance processes, and increase operational efficiency
- Collaborate with team and business partners on long-term portfolio vision and alignment of goals
Requirements
- 8+ years of experience in supporting analytic or machine learning product ownership or technical development in insurance or related field (recommended)
- Expertise in turning a new business problem into an executable technical or analytical solution
- Expertise in impactful storytelling, communication, and relationship-building across technical and non-technical audiences
- Expertise in leveraging Microsoft tools to develop compelling visuals articulating complex analytical topics
- Expertise in translating complex technical topics into business solutions and strategies and turning business requirements into a technical solution
- Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
- Exposure to Generative AI capabilities (and limitations) and use-cases
- Basic understanding of statistics, the analytical project lifecycle, data science concepts, data transformation and data warehouse concepts
- Domain knowledge in Employee Benefits and/or Life Insurance and KPIs is a plus
- Experience in Agile project management and Product Owner skills
- Candidate must be authorized to work in the US without company sponsorship (company will not support STEM OPT I-983 Training Plan endorsement)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningbusiness impact analysisproject managementquantitative techniquesdata transformationdata warehouse conceptsAgile methodologystorytellinganalytical project lifecycle
Soft skills
communicationrelationship-buildingstrategic planningcollaborationproblem-solvingadaptabilityleadershiporganizational skillsvision developmentstakeholder engagement
