# Director I, Data Science Product Management

Remote from[USA](https://jobicy.com/job-region/usa.md)Salary, yearly, USD 125,300                             - 201,300Department  [Data Science & Analytics](https://jobicy.com/categories/data-science.md) Employment type Full Time, Job posted1 Jul 2026Apply before1 Aug 2026Experience level  Director
Views / Applies 30 / 9 [About company](https://jobicy.com/company/liberty-mutual.md) [Share](#share)

About [Liberty Mutual](https://jobicy.com/company/liberty-mutual.md)

At Liberty Mutual, we want to help you embrace today and confidently pursue tomorrow

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[Insurance](https://jobicy.com/company-category/insurance.md)
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###  AI Summary

This Director role at Liberty Mutual leads the product strategy and delivery of data science platforms and capabilities. The position requires a blend of technical expertise in machine learning and product management to drive AI/ML initiatives. The director will partner with data scientists, engineers, and business leaders to prioritize features, manage roadmaps, and deliver measurable business value. This is a senior leadership role suitable for candidates with strong data science and product experience, typically requiring 10+ years in insurance or technology. The role offers a competitive salary and the opportunity to shape enterprise-level data science enablement.

### Role DNA

Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative

AI Insight This role demands deep technical understanding of data science, product management, and cross-functional leadership, making it challenging but not the highest difficulty due to established frameworks.

### Salary Analysis

Median  Market Rate  USD163,300US Market USD143k – 201k 0 USD221k      AI Insight The offered salary range of $142,800-$201,300 for the Director I level is competitive with the market median for similar roles. The median of $163,300 aligns well with industry standards for senior data science product management positions.

### Core Skills Required

[Data Science](https://jobicy.com/jobs?search_keywords=Data+Science.md) [Product Management](https://jobicy.com/jobs?search_keywords=Product+Management.md) [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [AI](https://jobicy.com/jobs?search_keywords=AI.md) [Agile Methodology](https://jobicy.com/jobs?search_keywords=Agile+Methodology.md) [Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder+Management.md) [Roadmap Planning](https://jobicy.com/jobs?search_keywords=Roadmap+Planning.md) [MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md) [Model Lifecycle Management](https://jobicy.com/jobs?search_keywords=Model+Lifecycle+Management.md) [Cross-functional Collaboration](https://jobicy.com/jobs?search_keywords=Crossfunctional+Collaboration.md)

### Cover Letter Sample

I am writing to express my enthusiasm for the Director I, Data Science Product Management role at Liberty Mutual. With over a decade of experience at the intersection of data science and product management in the insurance sector, I have successfully led cross-functional teams to deliver scalable AI/ML solutions that drive business value. My expertise in product vision, roadmap prioritization, and stakeholder management directly matches the requirements of this position. I am eager to contribute to Liberty Mutual's data science enablement and look forward to the opportunity to discuss how my background aligns with your team's goals.

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### Sample Interview Questions

How do you prioritize features for a data science product roadmap?I use a combination of business value, technical feasibility, and stakeholder input, employing frameworks like RICE or weighted scoring to ensure alignment with strategic goals.Describe a time you managed a complex data science project from conception to delivery.I led the deployment of a real-time pricing model, coordinating between data scientists, engineers, and business teams. We used an agile approach, delivered in six months, and achieved a 15% profit improvement.How do you ensure alignment between data science teams and business goals?I establish clear OKRs aligned with business objectives and maintain regular communication with stakeholders through demos and reviews to ensure transparency and prioritization.Explain your experience with MLOps and model lifecycle management.I have implemented CI/CD pipelines for model deployment using MLflow and Kubernetes, and established monitoring for model drift and performance. This reduced deployment time by 50% and ensured model reliability.How do you handle technical debt in data science products?I advocate for dedicating a portion of each sprint to refactoring and technical improvements, and I work with engineering to prioritize debt reduction based on impact on development velocity and system stability.  Description

About the Team

The Enterprise Data & Data Science organization provides centralized product, platform, and technology support for Data Science teams across Liberty Mutual. Our team focuses on enabling the development, deployment, and adoption of AI/ML solutions through shared platforms, reusable capabilities, and enterprise-scale data science practices. We partner closely with Data Scientists, Engineers, Architects, and business stakeholders to accelerate innovation, improve operational efficiency, and help deliver business value through AI and machine learning.

Description

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. This role develops and drives product vision, represents the voice of the customer, and partners closely with Data Scientists, Engineers, Architects, and business stakeholders to deliver measurable business value.

This role serves as the Product Owner for a portfolio of data science enablement capabilities, partnering with engineering teams to translate customer needs into prioritized roadmaps, backlogs, and delivered solutions.

This role is ideal for a candidate who combines strong data science or technical expertise with product thinking and stakeholder leadership. Success requires the ability to understand the needs of Data Scientists, evaluate technical solutions, and translate complex technical concepts into product decisions and business outcomes.

This position may be filled as an Assistant Director or Director I, Data Science based on experience.

Asst Director, Data Science Product Management: $125,300 – $176,800

Dir I, Data Science Product Management: $142,800 – $201,300

Responsibilities

* 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.

Qualifications

* 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.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: [https://www.libertymutualgroup.com/about-lm/careers/benefits](https://www.libertymutualgroup.com/about-lm/careers/benefits)
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices

* [California](https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf)
* [Los Angeles Incorporated](https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf)
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