The Hartford

Technical Product Owner – Data Science Team

The Hartford

full-time

Posted on:

Location Type: Hybrid

Location: Columbus • Connecticut • Illinois • United States

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Salary

💰 $94,000 - $141,000 per year

About the role

  • Build strong partnerships with business customers and technology partners, and act as key point of contact for several Data Science assets with internal stakeholders
  • Assist in identifying opportunities to evolve or reuse existing assets or develop new assets that could add operational and business value
  • Assist with the marketing strategy of key capstone initiatives. Build customer artifacts to support adoption, marketing and socialization including documentation, project plans, and roadmaps
  • Develop disciplined project timelines and support teams’ capacities to deliver results in a timely manner
  • Act as product owner for a team supporting development of multiple projects, with direct accountability over backlog prioritization and refinement.
  • Assist in execution of well-designed communication plans tailored to audiences ranging from technical peers to business stakeholders of various levels
  • Assist in development of vision and strategic planning, success criteria, CBA and value propositions for Data Science assets
  • Assist in development of new processes and best practices to mature the operating model of the broader Data Science, AI and Analytics team

Requirements

  • 2+ years of experience in business consulting, analytic or machine learning product management, or strategic/analytical roles highly desired
  • Agile and Product Owner experience highly desired
  • Experience in turning a new business problem into an executable technical or analytical solution
  • Experience in impactful storytelling, communication, and relationship management across a broad range of technical and non-technical audiences
  • Develop storylines and deliver key messages through appropriate channels tailored to the audience’s perspectives and needs
  • Be able to articulate technical concepts to a non-technical audience
  • Comfortable with working on novel, ambiguous business problems with no clear-cut solutions while flexing different roles to achieve project success
  • Ability to manage multiple projects concurrently, and to set priorities and plans to meet business goals and objectives
  • Experience in leveraging Microsoft tools to develop compelling visuals articulating complex analytical topics
  • Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
  • Basic understanding of statistics, the analytical project lifecycle, data science concepts, Generative AI capabilities, data transformation, and data warehouse concepts
  • Domain knowledge in Insurance and KPIs is a plus
  • Candidate must be authorized to work in the US without company sponsorship.
Benefits
  • Other rewards may include short-term or annual bonuses
  • long-term incentives
  • on-the-spot recognition
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencemachine learningproject managementAgilequantitative techniquesdata transformationdata warehousestatisticsanalytical project lifecycleGenerative AI
Soft Skills
communicationrelationship managementstorytellingproject executionproblem-solvingprioritizationstrategic planningadaptabilitycollaborationstakeholder engagement