Data Science Manager, GRS AI Transformation
Liberty Mutual · Boston, MA, US
About this role
## Data Science Manager — GRS AI Transformation ### Overview We are seeking a **Data Science Manager** to join the **Global AI Products and Transformation** team within **GRS Data Science Solutions**. You will develop and manage a team of data scientists responsible for scaling **ML/AI solutions** and creating **reusable capabilities** that accelerate AI adoption across multiple GRS lines of business and regions. You will combine data science expertise, hands-on engineering experience, and collaborative leadership to deliver **production-grade AI solutions** and establish **reusable technical patterns and platforms**. You will also translate business opportunities into **product roadmaps** and partner with engineering and architecture teams to define **enterprise-wide infrastructure** that provides AI systems with **governed access to relevant context**. > **Level of position offered** will be based on skills and experience at manager discretion at the **Assistant Director or Director I** level. ### Key Responsibilities - Lead, coach, and develop a high-performing team of **data scientists** and **AI/ML engineers** - Drive the design, development, deployment, and ongoing improvement of **scalable AI solutions** - Identify common requirements and solution patterns across use cases; lead development of **reusable AI products**, platform capabilities, shared components, frameworks, APIs, and patterns - Partner with AI product managers, engineers, architects, and business stakeholders to design **enterprise architecture** for scalable AI adoption - Promote strong engineering practices across the AI development lifecycle, including **testing, version control, CI/CD, observability, documentation, and MLOps/AIOps** - Communicate technical concepts, trade-offs, progress, and recommendations clearly to both technical and nontechnical audiences ### Required Qualifications - Hands-on experience developing and deploying **production-grade AI/ML solutions** - Advanced knowledge of **AI/ML methods**, engineering practices, tools, and business applications - Strong communication, collaboration, and stakeholder-management skills - Relevant insurance or regulated-industry experience is preferred **Education/Experience (typical):** - Ph.D. (CS/Statistics/Math/Economics/Actuarial Science or related) + **3+ years** relevant experience, **or** - Master’s (scientific field) + **6+ years** relevant experience, **or** - Bachelor’s (scientific field) + **8+ years** relevant experience ### Preferred Skills and Experiences - Demonstrated leadership experience (managing/coaching/mentoring data scientists, engineers, interns, or external partners) - Prior formal people-management experience preferred - Experience leading AI products in a **product-oriented delivery model** - Experience with **GenAI/LLM-based applications** (Q&A, chat, embeddings, prompt engineering, RAG, AI-assisted workflows) - Experience building **reusable AI platforms** / shared services / enterprise-scale capabilities - Success driving AI transformation and adoption in large, complex, or global organizations ### What Success Looks Like - Accelerate delivery of AI solutions while **reducing duplicated effort** across the organization - Build the technical and organizational foundation to move efficiently from **AI experimentation** to **secure, reliable, reusable production capabilities** ### Additional Qualifications / Competencies - Broad knowledge of predictive analytics and statist
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