Job Description

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

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
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Databricks, NVIDIA, Confluent, and Anthropic.

You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand.

About the team

The Solutions Architecture team at Metronome is a technical group that sits at the intersection of sales, growth, product, and R&D. In simple terms, we own the technical aspects of the customer lifecycle between after sales and before handoff to post-implementation teams. 

As a member of the Solutions Architecture team, you’ll primarily be focused on ensuring customers successfully implement Metronome’s products and realize value quickly.

Responsibilities

• Using proficient discovery and scoping  to understand what challenges our clients face in billing, launching new products, pricing & packaging, quote-to-cash, customer experience, and related areas.
• Doing whatever it takes to support clients throughout the entire implementation lifecycle, including requirements gathering, technical design, integration design, testing, data migration, and launch. 
• Providing expert guidance to clients regarding usage-based pricing and consumption business models.
• Hands on configuration of Metronome’s system on behalf of clients
• Designing integrations between Metronome’s APIs and the clients business systems to align to Metronome best practices (including CRM/ CPQ, Payments, Taxation, ERP, Billing Providers, Reporting and Analytics tools).
• Acting as a  liaison between the field and Metronome R&D to advocate for client needs and feature requests.  
• Partnering with implementation managers and other project team members to provide visibility into progress and proactively identify risks and issues
• Building relationships with people at our client organizations, from day-to-day operators to C-Suite executives. We believe in meeting our customers in-person whenever possible. 
• Designing integrations of Metronome into prospect systems and consultatively influencing the direction of our prospects’ pricing and packaging.
• Ensuring a proper handoff to our post-implementation teams (Customer Success and Technical Support).

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Expect these engagements to be complex, deep, technical, and most of all interesting. Metronome directly influences how the internet monetizes - AI is an obvious current example - and our group is on the front lines driving this influence with our prospects. Metronome is a startup. As such, there’s a lot still to figure out and tremendous room for high-agency people to impact our direction and strategy, build processes from zero to one, and generally make a difference. If this excites you as much as it excites us, let’s talk.

Minimum requirements

• 10+ years of experience working in technical and/or customer-facing roles involving SaaS products (for example, roles like sales engineering, solutions architecture, technical account management).
• Deep knowledge of the quote-to-cash space, including integrating with or otherwise interacting with tools like Salesforce, NetSuite, CPQs, Billing, Tax, Payments, etc.
• Experience leading complex, multi-phase technology transformation programs for enterprise companies.
• Experience in fast-moving startup environments that value high agency.
• Ability to quickly learn and communicate technical concepts to technical, go-to-market, and finance stakeholders.
• Excitement for building and improving GTM playbooks, processes, and reusable assets.
• Ability to travel approximately 30% of the time (will vary depending on client needs)

Preferred qualifications

• Experience as a software engineer, product manager, or in other technical roles.
• Strong understanding of project management and program management fundamentals and principles 
• Experience working with users from one or more of the following personas: Finance/ CFO, Engineering/ CTO, Product/ CPO, Sales Ops/ CRO, and Billing Operations. 
• Experience with logs, metrics, billing, finance, or other infrastructure or financial tooling and concepts.