Liberty Mutual Insurance Group logo

Liberty Mutual Insurance Group Engineering

To build transformative technology solutions that help people embrace today and confidently pursue tomorrow.

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To build transformative technology solutions that help people embrace today and confidently pursue tomorrow.

Strengths

  • INFRASTRUCTURE: Robust cloud migration (70% complete) enabling agility
  • TALENT: Strong engineering team with specialized insurance expertise
  • ARCHITECTURE: Microservices architecture supporting rapid iteration
  • SECURITY: Advanced cybersecurity frameworks exceeding industry norms
  • DATA: Vast proprietary data assets spanning decades of insurance data

Weaknesses

  • LEGACY: Technical debt from 30+ year-old core insurance systems
  • VELOCITY: Slow development cycles (avg 6 weeks vs industry 2 weeks)
  • INTEGRATION: Siloed systems limiting cross-business unit capabilities
  • CULTURE: Risk-averse engineering culture inhibiting innovation pace
  • TALENT: Gaps in emerging tech talent (AI, data science, cloud-native)

Opportunities

  • DIGITAL: Accelerated consumer shift to digital insurance interactions
  • DATA: Leverage telematics/IoT data for personalized risk assessment
  • AUTOMATION: Deploy AI for claims processing automation potential
  • ECOSYSTEM: Create API-driven insurance platform for third parties
  • PERSONALIZATION: Real-time data analytics for dynamic coverage

Threats

  • COMPETITION: InsurTech startups with digital-first technology stacks
  • TALENT: Increasing competition for top engineering talent
  • REGULATION: Evolving data privacy laws impacting tech architecture
  • CYBERSECURITY: Rising sophistication of insurance-targeted attacks
  • RESILIENCE: Climate change requiring new risk modeling capabilities

Key Priorities

  • MODERNIZATION: Accelerate legacy system replacement via microservices
  • DIGITAL: Enhance customer-facing digital platforms and mobile apps
  • DATA: Build advanced analytics capabilities for personalized products
  • TALENT: Attract and develop specialized engineering talent
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To build transformative technology solutions that help people embrace today and confidently pursue tomorrow.

MODERNIZE TECH

Create our future-proof technology foundation

  • MIGRATION: Migrate 5 critical legacy systems to cloud-native architecture, reducing operational costs by 30%
  • RELIABILITY: Implement SRE practices across all core systems, achieving 99.99% uptime SLA for customer applications
  • ARCHITECTURE: Deploy service mesh across 75% of microservices with automated canary deployments and rollbacks
  • DECOMMISSION: Retire 15 legacy applications generating $12M in annual maintenance cost savings
DIGITAL FIRST

Deliver exceptional digital customer experiences

  • MOBILE: Increase mobile app engagement by 40% through launch of 5 new self-service capabilities and UX redesign
  • PLATFORM: Expand API platform with 25 new endpoints enabling 15 active ecosystem partners by quarter end
  • EXPERIENCE: Reduce digital customer journey friction points by 50% based on analytics-driven insights
  • PERSONALIZATION: Implement real-time personalization engine driving 25% improvement in digital conversion rates
DATA MASTERY

Transform data into competitive advantage

  • ANALYTICS: Build real-time customer analytics platform processing 10M daily events with sub-second latency
  • AI: Deploy underwriting AI models for 3 major product lines, improving pricing accuracy by minimum 15%
  • CLAIMS: Scale AI-powered claims processing to handle 40% of total claims volume with 60% faster resolution
  • ARCHITECTURE: Implement unified data mesh architecture with 95% of enterprise data accessible through APIs
TECH TALENT

Build world-class engineering organization

  • EXPERTISE: Launch technical academy training 200 engineers in AI/ML, cloud-native, and data engineering
  • DIVERSITY: Increase representation in technical roles by 25% through targeted recruitment and development
  • RETENTION: Reduce engineering turnover to below 12% through career growth paths and technical excellence
  • PRODUCTIVITY: Implement developer experience platform reducing environment setup time from days to hours
METRICS
  • DIGITAL ENGAGEMENT: 75% of customers using digital channels monthly
  • MODERNIZATION: 85% of applications running on cloud-native architecture
  • VELOCITY: 8 day average deployment lead time (from code commit to production)
VALUES
  • Putting customers first through responsive technology
  • Excellence in technical execution
  • Innovation that creates meaningful impact
  • Collaboration across technical and business functions
  • Continuous learning and adaptation
Liberty Mutual Insurance Group logo
Align the learnings

Liberty Mutual Insurance Group Engineering Retrospective

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To build transformative technology solutions that help people embrace today and confidently pursue tomorrow.

What Went Well

  • GROWTH: Digital channel policy sales increased 18% YoY, exceeding target
  • EFFICIENCY: Cloud migration reduced infrastructure costs by $45M annually
  • INNOVATION: Mobile app engagement up 32% following UX/UI redesign launch
  • OPERATIONS: Mean time to resolve technical incidents reduced by 40% QoQ
  • SECURITY: Zero major security breaches for sixth consecutive quarter

Not So Well

  • PERFORMANCE: Core policy system outages increased 15% affecting customer
  • VELOCITY: Software release cadence still 50% slower than industry average
  • ADOPTION: New digital claims features seeing only 22% customer usage rate
  • INTEGRATION: API platform usage below targets with only 5 partners active
  • TALENT: Engineering department turnover rate reached concerning 18% level

Learnings

  • AGILE: Cross-functional squads outperform traditional team structures by
  • ARCHITECTURE: Incremental migration approach proving more successful than
  • PLATFORM: Internal developer platforms significantly improve productivity
  • TESTING: Automated testing coverage directly correlates with system uptime
  • CULTURE: Engineering sentiment surveys help predict turnover and retention

Action Items

  • RELIABILITY: Implement site reliability engineering practices across core
  • PLATFORM: Accelerate API platform development to enable partner ecosystem
  • TALENT: Launch specialized technical training program in AI and cloud tech
  • MODERNIZATION: Accelerate retirement of top 5 high-risk legacy systems by
  • AUTOMATION: Expand DevOps automation to reduce release cycles by minimum 30
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To build transformative technology solutions that help people embrace today and confidently pursue tomorrow.

Strengths

  • FOUNDATION: Established AI Center of Excellence with 50+ specialists
  • INVESTMENT: Substantial AI R&D budget ($75M allocated for 2025)
  • DATA: Comprehensive historical claims data for model training
  • PARTNERSHIPS: Strategic alliances with leading AI technology vendors
  • INFRASTRUCTURE: Scalable cloud infrastructure optimized for AI/ML

Weaknesses

  • INTEGRATION: Disconnected AI initiatives across business units
  • ADOPTION: Low AI tool adoption rates among business stakeholders
  • SKILLS: Limited MLOps and AI engineering specialized talent
  • GOVERNANCE: Incomplete framework for responsible AI deployment
  • LEGACY: Outdated data architecture limiting AI model deployment

Opportunities

  • UNDERWRITING: AI-driven risk assessment for more accurate pricing
  • CLAIMS: Automated claims processing reducing settlement time by 60%
  • PREVENTION: Predictive analytics for risk prevention advisories
  • PERSONALIZATION: Hyper-personalized customer experiences via AI
  • EFFICIENCY: AI-powered process automation across value chain

Threats

  • COMPETITION: Tech giants entering insurance with superior AI
  • ETHICS: Regulatory scrutiny of AI fairness in insurance decisions
  • TRANSPARENCY: Increasing demands for explainable AI models
  • SECURITY: AI-powered fraud schemes targeting insurance companies
  • VELOCITY: Accelerating pace of AI innovation requiring adaptation

Key Priorities

  • PLATFORM: Build unified AI platform for company-wide deployment
  • UNDERWRITING: Implement next-gen AI risk assessment models
  • AUTOMATION: Scale AI-powered claims processing automation
  • GOVERNANCE: Develop comprehensive responsible AI framework