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Liberty Mutual Insurance

Director I, Data Science Product Management

УдалённоUnited Kingdom, United States только
Опубликовано
Роль
Фулстек
Опыт
Синьор
Занятость
Полная занятость
$125.3k–$176.8k/yr
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Коротко по делу

The Director, Data Science Product Management supports the organization, prioritization, and delivery of a portfolio of data science work that enables machine learning and AI solutions across Liberty Mutual.

Ключевые навыки

Data ScienceMachine LearningMLOps

Обязательные навыки

AWS/Azure/Databricks

Чем предстоит заниматься

  • Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities.
  • Develop business value estimates and success measures to inform prioritization and evaluate outcomes.
  • Represent the voice of the customer and incorporate stakeholder feedback into product decisions.
  • Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions.
  • Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience.
  • Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions.
  • Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements.
  • Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs.
  • Partner with delivery teams to support effective planning, execution, and delivery using Agile practices.
  • Lead discussions, planning sessions, and stakeholder engagements for complex initiatives.
  • Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership.

Что требуется

  • Bachelor's degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management.
  • Master's degree preferred.
  • ACAS helpful.
  • Bachelor's degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred.
  • FCAS / ACAS preferred
  • Master's degree preferred
  • Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management.
  • Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization.
  • Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes.
  • Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices.
  • Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.).
  • Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts.
  • Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes.
  • Experience working effectively in large, complex, and highly matrixed organizations.
  • Strong communication, stakeholder management, influence, and organizational leadership skills.

Преимущества

  • comprehensive benefits
  • workplace flexibility
  • professional development opportunities
  • opportunities provided through our Employee Resource Groups

9th Largest global property and casualty insurer 2025 gross written premium

InsuranceКрупнаяlibertymutualgroup.com
$125.3k–$176.8k/yr