Enterprise Data Science & AI Leader

Liberty Mutual InsuranceBoston, MA
5d

About The Position

We’re seeking a mission-driven and strategic leader to join our Enterprise Data & Data Science organization as Senior Director and leader of our Enterprise Data Science team. This high-impact role sits at the center of our enterprise AI/ML efforts — overseeing the platforms, standards, and responsible innovation practices for our Data Science & Machine Learning Engineering community that enable scalable, secure, and ethical use of machine learning and AI across the company. As a senior member of our rapidly growing Data & Data Science community, you’ll drive the strategy for enterprise enablement — spanning AI/ML platform product leadership, governance expertise to fuel our Responsible AI program, setting the standard for how Data Science is done at the company, and being a leader of cross-functional/cross business efforts. You will also serve as a champion for our data science community of practice, helping foster connection, career growth, and shared best practices across disciplines.

Requirements

  • 10+ years of experience in product leadership, technology strategy, or AI/ML platform development in large, complex organizations.
  • Deep understanding of AI/ML systems architecture, MLOps, and emerging technologies such as LLMs, vector search, and prompt orchestration.
  • Proven track record delivering enterprise-grade platforms and governance processes for AI or other high-risk technologies and leading highly nuanced change management efforts to ensure impact.
  • Experience leading and engaging data science and technical communities across a federated enterprise. Comfort operating in a matrixed organizational structure.
  • Strong people leadership skills with a history of mentoring, scaling, and retaining high-performing teams.
  • Excellent communication and influence skills — able to align cross-functional stakeholders from technical, regulatory, and business domains.

Responsibilities

  • Product Leadership for AI/ML Infrastructure
  • Enterprise Standards
  • Leading AI Innovation
  • AI Governance & Risk Integration
  • Leadership of the Data Science Community
  • People Leadership & Team Building
  • Cross-Functional Influence
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