AI Technical Program Manager

Description

We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.

At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects.

This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH.

You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply.

Job Introduction:

Liberty Mutual Technology's Global Digital Services organization is seeking a highly skilled and experienced Technical Program Manager (TPM) to lead program delivery for the AI Backbone, Liberty Mutual's shared enterprise foundation for AI. This role will focus on driving alignment, execution, and adoption across a broad ecosystem of stakeholders as the organization continues to expand and mature AI capabilities across the enterprise.

About the AI Backbone:

The AI Backbone provides the shared capabilities, standards, and reusable services that enable teams across Liberty Mutual to build and deploy AI solutions consistently, securely, and efficiently. Rather than having individual teams create their own approaches to security, governance, observability, identity, and AI operations, the Backbone establishes a common foundation that accelerates delivery while reducing complexity and risk.

Supporting a broad spectrum of AI use cases, from generative AI applications to advanced agentic systems, the Backbone is designed to evolve alongside the rapidly changing AI landscape. It brings together shared technical capabilities, enterprise platforms, governance, and delivery partnerships to accelerate innovation, reduce risk, and enable AI adoption across Liberty Mutual.

The Role of this Technical Program Manager

The TPM joining this program will play a pivotal role in helping Liberty Mutual realize the full potential of AI as an enterprise capability. Working across a diverse ecosystem of technology, data, security, architecture, finance, and business stakeholders, this leader will drive alignment around shared priorities, informed decision-making, and the successful adoption of the capabilities, standards, and operating models that enable AI at scale.

This is a highly visible role with the opportunity to influence how Liberty Mutual scales and governs AI across the enterprise. The successful candidate will bring clarity and momentum to a rapidly evolving landscape, helping leaders make informed decisions while aligning efforts across teams, platforms, and strategic initiatives.

Success in this role requires exceptional program leadership, strong executive presence, and the ability to influence across a highly matrixed organization. The ideal candidate combines strategic thinking with technical curiosity and is comfortable engaging leaders across engineering, security, architecture, data, and business domains to translate enterprise AI strategy into coordinated action and measurable outcomes.

About the job:

This role is responsible for coordinating the planning, governance, and execution required to advance the AI Backbone and enable consistent adoption of shared AI capabilities across Liberty Mutual. The TPM will bring together stakeholders across technology and business domains, helping leaders make informed decisions, manage dependencies, and translate strategic priorities into measurable outcomes.

• Strategic Planning and Execution: Develop and own the multi-year AI Backbone roadmap (Now / Next / Later), sequencing work across shared capabilities, contributing teams, and strategic initiatives. Define target outcomes, phase milestones, and readiness criteria while adapting plans as technologies, priorities, and enterprise needs evolve. Guide the evolution of the Backbone operating model from managed reuse toward federated adoption. Maintain an integrated program plan and delivery rhythm across workstreams, actively managing dependency health, milestone slippage, and re‑sequencing as conditions change.


• Enterprise Leadership and Alignment: Lead cross-functional planning, prioritization, and decision forums spanning Global Digital Services (GDS), Global Cyber Security (GCS), Enterprise Data & Data Science (ED&DS), Enterprise Architecture, Enterprise Observability, Finance, and lighthouse delivery teams. Foster shared accountability without direct reporting authority and establish consistent planning, reporting, and governance practices across participating teams. Set the execution quality bar for program and project leads working on AI initiatives across domains, and coach them toward consistent planning, risk, and reporting practices.


• Vendor Management: Coordinate strategic technology partners including AWS, Databricks, Snowflake, Microsoft, Datadog, and Zscaler across evaluation, commitment, and scale-out decisions. Ensure build, buy, and partner strategies align with enterprise priorities, timelines, commercial objectives, and quality expectations.


• Enterprise Adoption and Enablement: Drive adoption of shared AI capabilities, approved patterns, and production‑readiness standards across teams with varying priorities, business needs, and risk profiles. Partner across the organization to promote consistent approaches to AI delivery while establishing governance mechanisms that support long‑term adoption and scale.


• Risk Management: Proactively identify systemic and cross-program risks spanning identity, governance, model risk, data access, security, and cost. Partner with GCS, ED&DS, LibertyAIR, Enterprise Architecture, and other stakeholders to address risks before they become barriers to adoption or scale. Maintain an enterprise view of risk and dependency health across the AI Backbone portfolio.


• Communication: Serve as the primary author and presenter of AI Backbone updates for Tech ELT, SLT, and business leadership. Translate complex technical concepts, program progress, tradeoffs, and investment decisions into clear, decision‑oriented communications and executive‑level narratives, including progress‑to‑goal, decisions required, and risks surfaced ahead of impact.


• Continuous Improvement: Identify opportunities to simplify, automate, and mature the Backbone operating model, reducing manual effort associated with onboarding, readiness assessment, governance, and reporting. Capture lessons learned and emerging best practices and incorporate them into reusable patterns, standards, and operating rhythms.

Additional Responsibilities Specific to this Role

• Portfolio Governance: Design and operate the governance model for the AI Backbone, including decision frameworks, escalation paths, production‑readiness criteria, ownership models, and executive scorecards. Shift governance discussions from status reporting to informed decision‑making.


• Dependency and Ownership Management: Build and maintain visibility into dependencies across shared capabilities, strategic AI initiatives, and underlying enterprise platforms. Maintain an inventory of AI and agentic initiatives, track maturity and readiness, and help resolve ownership ambiguity across teams and domains.


• Financial and Investment Management: Partner with Technology & Enterprise Finance and Strategy & Transformation to support AI FinOps, investment planning, capacity management, funding requests, and value realization metrics. Provide leaders with the information needed to make informed investment decisions and prioritize resources effectively.


• Technical Judgment and Architecture Engagement: Participate in architecture and design forums to understand tradeoffs across shared capabilities and platforms, and use that understanding to inform sequencing, readiness criteria, and risk assessment.

Scope of Ownership

This position is leveled above the standard Technical Program Manager role based on enterprise scope, stakeholder altitude, and the structural nature of the decisions it drives:

• Enterprise‑wide scope. This role oversees a portfolio of shared capabilities, strategic AI initiatives, and the operating model that connects them, spanning multiple technology and business domains.


• Strategic decisions, not execution‑level tradeoffs. In partnership with leadership and product teams, this TPM influences priorities, sequencing, investment direction, escalation decisions, and enterprise readiness standards that shape how AI capabilities are delivered and adopted.


• Complex problems with evolving solutions. AI technologies, operating models, and ownership boundaries continue to evolve. The role must bring structure to ambiguity, frame complex cross‑organizational challenges, and guide stakeholders toward aligned decisions.


• Manages by exception. Intervenes based on program‑level impact rather than task‑level detail, letting capability and lighthouse teams own their execution while maintaining visibility into decisions, dependencies, and risks.


• Executive engagement. The role regularly advises and is accountable to Liberty Mutual's senior technology leaders and is responsible for providing clear, actionable insights that inform strategy, prioritization, and investment decisions.


• Impact through influence. Success is measured by alignment across stakeholders, consistency of execution, and the overall health and adoption of the AI Backbone, measured through adoption, readiness, and stakeholder confidence metrics rather than the delivery of any single workstream.

Qualifications

• Bachelor's or master's degree in a technical or business discipline, or equivalent experience.


• Minimum 12+ years of technical program management, enterprise transformation, or implementation consulting experience, including 5+ years leading multi‑organization, multi‑year technology programs in an agile environment.


• Demonstrated ownership of an enterprise platform, shared‑services, or foundational capability program (e.g., cloud platform, data platform, identity, developer enablement, or AI/ML platform) where success depended on adoption by teams outside your reporting line.


• Working technical fluency in modern AI and agentic architectures: LLM access and model gateways, agent runtimes and orchestration, memory and semantic layers, evaluation and observability, and identity and governance controls. Familiarity with AWS Bedrock / AgentCore, Databricks / MLflow, Snowflake, Azure Entra ID, Datadog, and MCP / A2A interoperability standards is strongly preferred.


• Proven experience establishing portfolio governance – decision forums, readiness criteria, RACI, escalation frameworks and executive scorecards – across organizations that do not report to you.


• Track record of regular, high‑quality communication with C-level and ELT-level technology leadership, including structuring options and investment asks and driving decisions in contentious settings.


• Experience with technology financial management: FinOps, rent / buy / build economics, business cases, capacity planning and value realization tracking.


• Demonstrated leadership of organizational change in large technology organizations, moving teams from local autonomy toward shared standards while preserving delivery velocity.


• Exceptional ability to drive and achieve major transformational outcomes through influence, without direct reporting authority, across engineering, architecture, security, data, finance and business‑unit leaders.


• Strong analytical skills and comfort creating and leveraging data (readiness metrics, adoption metrics, dependency and risk density) to drive decision‑making.


• Experience coaching or setting standards for other program managers or TPMs; ability to raise the execution bar across a practice.


• Proficiency in developing structured, impactful executive presentations and written narratives.


• Continual knowledge of the evolving AI and technology landscape, internal and external, to shape solutions with technical longevity.


• Bachelor's or master's degree in a technical or business discipline, or equivalent experience.


• In‑depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities; in‑depth knowledge of agile methodology and the ability to mobilize multiple delivery teams across multiple domains toward a single mission.


• Highly developed negotiation, facilitation and consensus‑building skills demonstrated through effective interactions with cross‑functional stakeholders.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop in the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well‑being. To learn more about our benefit offerings please visit: Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices

• California


• Los Angeles Incorporated


• Los Angeles Unincorporated


• Philadelphia


• San Francisco

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