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# Director I, Data Science Product Management

- **Company:** State Auto
- **Location:** Portsmouth, NH, United States
- **Experience:** Expert
- **Salary:** $112,290.0 - $172,032.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, DevOps, Azure Machine Learning, Machine Learning Operations, Databricks
- **Published:** August 21, 2026
- **Apply:** https://www.careerjet.com/job/us3e58b5787abf2c2371d8a3472d224dfe/eaa

## About the Role

* Asst Director, Data Science Product Management- 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.
 * Dir I, Data Science Product Management- 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.



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