Transformation Lead, Everyday AI
- Company: Liberty Mutual Insurance Group
- Location: Boston | US-NH-Portsmouth, MA
- Work mode: On-site
- Job type: Full-Time
- Posted: 2024-11-04
DESCRIPTION
Come help shape what confident, Everyday AI adoption in the intelligence era at a Fortune 100 organization looks like! This role supports home office functions (Actuarial, Finance, Product, Analytics, etc.) and AI-enabled productivity initiatives across business operations. Partners with Liberty Mutual Enterprise teams to inform and advocate for USRM platform and training priorities, serving as the Everyday AI Champion for USRM. Manages the USRM Everyday AI Center of Excellence (partnering closely with each vertical and functional AI lead), supporting feature rollout, training, and adoption efforts as needed. Identifies and propagates best practices across USRM and cross-enterprise use cases. Tracks external and internal best practices for productivity-enhancing AI adoption and translates them into persona-based journeys, structured training, and an integrated roadmap for USRM.
**This role may have in-office requirements dependent upon candidate location.**
Key Responsibilities:
* Lead Everyday AI Adoption: Serve as the primary go-to expert for USRM for Everyday AI enablement. Facilitate getting USRM the capabilities and support needed to drive productivity-enhancing adoption of platforms such as LibertyGPT, Microsoft Copilot, Claude, and emerging tools. Support key home-office personas (Product, Analytics, Customer Experience, and shared talent bases) in optimizing AI usage in daily workflows. Work closely with various USRM functional experts and champions to get feedback and thought leadership on what is blocking productive adoption, and work to address it.
* Track & Adapt Best Practices: Monitor internal and external best practices—including approaches from peer enterprises and non-insurance innovators—to identify and adapt high-impact Everyday AI training and adoption patterns for USRM. Partner deeply with USRM’s various functional AI experts and champions to identify what’s working well and proliferate it.
* Maintain Landscape Fluency: Maintain a strong understanding of emerging internal and external capabilities across vendors, technology platforms, operational processes, governance, and skill development.
* Drive Tool & Platform Mastery: Maintain hands-on fluency with M365 Copilot, LibertyGPT, ChatGPT, Claude, and rising generative AI platforms. Build command of native AI capabilities across enterprise SaaS platforms such as Snowflake, Databricks, Atlassian, SharePoint, and the broader Microsoft 365 ecosystem.
* Build Persona-Based Journeys: Design persona-based Everyday AI adoption journeys spanning process, data, and tooling to drive confident adoption. Partner with functional AI Champions across USRM to deploy, iterate, and scale these paths.
* Own the Capability Roadmap: Own the integrated USRM roadmap for incoming AI capabilities—including tools, connectors, contextual data, skill governance, and training resources. Ensure clear communication and provide functional AI Champions with the resources required for adoption. Develop and deliver workshops and training where warranted.
* Navigate Responsible AI (RAI) Governance: Partner with Responsible AI governance frameworks and leaders, and Third-Party Risk Management (TPRM) processes for shared capabilities, vendors, and connectors. Ensure risk-aware decisions are properly documented.
* Drive Enterprise Collaboration: Actively engage in relevant Liberty Mutual enterprise forums (Everyday AI platforms, technology working groups, and portfolio planning initiatives) to exchange learnings, best practices, and strategic priorities.
* Enable AI Cost Transparency: Advocate for, train, and ensure adoption of transparency to direct and indirect costs associated with AI tooling and usage, embedding cost-awareness into functional culture and decision-making.
IDEAL CANDIDATE PROFILE:
* Impact-Oriented Leadership: Proven track record of driving measurable business value through cross-functional partnership across matrixed teams. Ability to connect shared technology platforms, data, and processes into a cohesive roadmap with clear execution paths.
* Experience & Education: Business and technical acumen typically acquired through a Bachelor’s degree in a relevant field (Business, Computer Science, Engineering, or related discipline) and a minimum of 10 years of progressive experience across business process, technology, data/AI, product management, or analytics roles.
* Cross-Functional Domain Literacy: Broad working literacy across multiple home-office disciplines (e.g., Analytics, Actuarial, Financial Analysis/Reporting, Data Science, MLOps, Product Management, Process Optimization, or Data Management).
* AI & Platform Fluency: Strong familiarity with the Microsoft 365 ecosystem (Copilot), enterprise LLM tooling (e.g., LibertyGPT), Claude, Model Context Protocol (MCP) connectors, and generative AI tooling. Experience with enterprise platforms such as SharePoint, Atlassian, Snowflake, and Power BI strongly preferred.
* Executive Presence & Communication: Demonstrated experience briefing senior leaders, framing tradeoffs, and driving alignment through clear, concise communication. Excellent written and verbal communication skills.
* Stakeholder & Change Management: Proven ability to influence and align diverse stakeholders across business functions, enterprise technology teams, and external vendors toward shared objectives.
* Industry Experience: Experience within Fortune 200 Financial Services organizations and/or Property & Casualty (P&C) insurance operations strongly preferred.
QUALIFICATIONS
* Preference for related 4 year degree with minimum requirement of 10 years` experience with demonstrated capability in managing large, complex stakeholder projects
* Effective communication, influencing, organizational and analytical skills required
* Ability to set expectations upward through managing scope, ability to craft narrative, and navigate across governance structures required to keep multiple sub-workstreams moving forward
* Drives a high performing culture by modeling commitment, building trust across extended teams, curiosity about different perspectives, and challenges the status quo while providing clarity and direction for teams executing on the work
TRAVEL
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