Data Science Product Manager

Liberty Mutual; Boston (MA); On-site; USD 137,000 - 257,000; Full time

Job summary

Liberty Mutual in Boston, MA is seeking a Data Science Product Manager (onsite) to lead AI-powered intelligence products that strengthen underwriting decisions. The role focuses on strategy, roadmap, deployment, and scaling of advanced analytics, partnering with data scientists, engineers, and technology teams to deliver measurable business impact across underwriting and risk.

The position emphasizes defining success metrics, adoption strategies, and communicating complex AI concepts to both

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• 5+ years of experience in insurance, actuarial, data science, analytics, technology, or advanced analytics product management.
• Strong knowledge of data science, machine learning, Generative AI, and agentic AI concepts.
• Understanding of MLOps, governance, and AI platform capabilities.

Responsibilities

• Define and drive strategy for multi-year analytics product roadmaps and investment priorities.
• Identify high-value AI opportunities to deliver measurable business outcomes.
• Set product vision, success metrics, and adoption strategies.
• Partner with data scientists and engineers to deliver scalable AI/ML solutions.
• Lead deployment strategies, observability, governance, and model monitoring.

Skills

Data science product management

AI strategy

GenAI/agentic AI

Stakeholder management

Executive communication

Product vision

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

PowerPoint

SQL

Python

Job description

Liberty Mutual is seeking a Data Science Product Manager (onsite) in Boston, MA to lead the strategy, development, deployment, and scaling of AI-powered intelligence products that strengthen underwriting decision-making. This role focuses on building decision intelligence using machine learning, Generative AI, and agentic AI, partnering closely across business, data science, and technology to deliver measurable business impact.

What you’ll be doing

• Define and drive strategy for advanced analytics products, including multi-year roadmaps and investment priorities across a portfolio of enterprise intelligence products.
• Spot high-value opportunities where AI, machine learning, Generative AI, and decision intelligence can create measurable business outcomes.
• Set product vision, success metrics, and adoption strategies aligned to enterprise objectives.
• Guide portfolio decisions using business case development, financial valuation, and outcome-based prioritization.
• Partner with Data Scientists, Engineers, Architects, and Technology teams to deliver scalable AI/ML solutions across the full product lifecycle.
• Lead development and deployment of advanced AI capabilities, including predictive modeling, NLP, LLM-powered applications, RAG architectures, agentic workflows, recommendation engines, and decision intelligence solutions.
• Collaborate on production deployment strategies, MLOps, observability, model monitoring, reliability, and governance.
• Provide technical influence on AI platform capabilities, reusable services, model orchestration, and enterprise-scale intelligence architecture.
• Act as the voice of the customer and trusted advisor, translating complex business challenges into scalable product solutions.
• Align senior stakeholders by managing competing priorities, trade-offs, dependencies, and resource constraints.
• Communicate complex technical concepts and AI/product outcomes to both technical and non-technical audiences, including executive leadership.
• Drive readiness, training, adoption, and change management to maximize business value realization.
• Own product valuation frameworks, prioritization methods, and outcome measurement processes, including KPIs tied to business outcomes, adoption, operational efficiency, profitability, and product performance.
• Lead product planning, including roadmap development, PI planning, dependency management, and release coordination.
• Guide identification and prioritization of technical debt, platform modernization, and product scalability initiatives.
• Ensure intelligence products are designed and operated in line with Responsible AI principles, governance standards, model risk management, and regulatory requirements.
• Partner with governance and technology teams to implement monitoring, auditability, explainability, and feedback mechanisms across AI solutions.
• Establish frameworks for evaluating, measuring, and continuously improving model and GenAI performance.
• Manage, provide technical oversight, and support the development of a team of data science and advanced analytics staff.
• Collaborate with business partners to build tools and services such as modeling, dashboard development, and decision aids to support strategic decision making.
• Present findings, share insights, and make recommendations impacting profitability, growth, and/or customer satisfaction.
• Provide tactical input on highly technical projects that drive change across functions, SBU, or corporate departments.
• Supervise and perform highly complex well-defined work involving technical and creative predictive analytics projects.
• Engage with the data science community and lead cross-functional working groups.

What you bring

• Bachelor’s or Master’s degree in a quantitative field, with 5+ years of experience in insurance, actuarial, data science, analytics, technology, or advanced analytics product management.
• Prior advanced analytics product management experience supporting data science, machine learning, AI, or intelligence solutions is preferred.
• Strong understanding of data science, machine learning, Generative AI, and agentic AI concepts and methodologies.
• Knowledge of data science product development, deployment, MLOps, monitoring, and governance practices.
• Understanding of technology platforms, architectures, APIs, and tools that support AI/ML solutions.
• Ability to translate business needs into product strategy and prioritize based on customer and business value.
• Strong communication, relationship-building, and stakeholder management skills, including influencing senior leaders and driving cross-functional alignment.
• Ability to communicate technical concepts and analytical findings to both technical and non-technical audiences.
• Proficiency with analytical and advanced analytics product management tools including PowerPoint, SQL, and Python, plus modern data and AI technologies.
• Understanding of insurance underwriting practices, risk assessment, pricing, and decision-support workflows is preferred.
• Experience building, deploying, or scaling GenAI, agentic, or advanced analytics solutions is preferred.
• ACAS or equivalent insurance industry credentials helpful.
• Proven experience scaling successful solutions across multiple business segments, underwriting organizations, or product lines.
• Experience with MLOps, AI governance, model monitoring, and enterprise deployment practices.
• Experience building GenAI solutions, RAG applications, and agentic systems.
• Familiarity with GenAI evaluation methodologies and responsible AI principles.
• Track record of cross-functional collaboration and leadership within a large enterprise environment.
• Experience driving adoption and value realization for AI-enabled products at scale.

Salary and location

• Location: Boston, MA (onsite)
• Salary: USD 137,000 - 257,000 per year

Technologies you may work with

• Machine learning, Generative AI, Agentic AI, NLP, LLM-powered applications, RAG architectures, agentic workflows
• Recommendation engines, decision intelligence solutions, MLOps, observability, model monitoring, governance
• Responsible AI, PowerPoint, SQL, Python, APIs

Compensation and pay philosophy

• The typical starting salary range is determined by factors including skills, experience, education, certifications, and location.
• The full salary range reflects competitive labor market value across the national market and provides opportunities for progression as employees grow and develop.
• Some roles may include a compensation plan with commission and/or bonus earnings based on factors defined in the plan.

Benefits

To learn more about benefit offerings, visit: https://LMI.co/Benefits

Fair chance notices

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