채용

Enterprise Data Science & AI Leader
Boston, Massachusetts, United States; Remote, Remote, United States; Seattle, Washington, United States; Portsmouth, New Hampshire, United States; Plano, Texas, United States
·
Remote
·
Full-time
·
1mo ago
Own the product strategy and roadmap for our enterprise ML platform -- including MLOps tooling, model lifecycle management, LLMOps for Data Scientists, observability, and additional AI/ML developer enablement frameworks.
Enterprise Standards Define and evolve our enterprise standards for scalable, secure, and responsible AI development.
Set our preferred processes spanning technology, skills, and training for building/evaluating/deploying/monitoring AI/ML and ensure we integrate observability and trust at every level.
Drive alignment across engineering, data science, architecture, and business teams.
Serve as a leader for our cross-functional data science community.
Enable knowledge sharing, talent development, and community-building across teams and business lines.
Lead and grow a high-performing team of product managers, scientists, and platform strategists.
Foster a culture of experimentation, ownership, and inclusivity.
Mentor senior talent and help shape the next generation of AI leaders. 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.
Act as a trusted partner to executive leadership.
Communicate complex scientific, technical, and governance strategies clearly to non-technical stakeholders, and champion AI as a strategic differentiator across the enterprise.
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About Liberty Mutual

Liberty Mutual
PublicLiberty Mutual is a diversified global insurer and the sixth-largest property and casualty insurer in the United States. The company provides personal and commercial insurance products including auto, home, life, and business coverage.
10,001+
Employees
Boston
Headquarters
Reviews
3.4
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
3.4
Career
3.6
Management
3.2
55%
Recommend to a Friend
Pros
Great training programs
Good pay and benefits
Supportive management
Cons
High workloads with little relief
Stressful work environment
Slow decision making processes
Salary Ranges
3,207 data points
Junior/L3
Mid/L4
Senior/L5
VP
Director
Junior/L3 · Associate Data Scientist
0 reports
$110,000
total / year
Base
-
Stock
-
Bonus
-
$93,500
$126,500
Interview Experience
8 interviews
Difficulty
2.4
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 50%
Negative 25%
Interview Process
1
Application Review
2
HR Screen/Phone Interview
3
Technical/Behavioral Interview
4
Panel/Hiring Manager Interview
5
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
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