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Liberty Mutual Insurance

Technical Program Manager - GRS Technology

Posted 6 Hours Ago
Remote or Hybrid
Hiring Remotely in Plano, TX
137K-257K Annually
Expert/Leader
Remote or Hybrid
Hiring Remotely in Plano, TX
137K-257K Annually
Expert/Leader
Leads complex, multi-year technology programs across multiple domains, managing delivery plans, governance, risks, dependencies, financials, metrics, and executive stakeholder communication. The role modernizes program delivery through generative AI assistants, analytics, automation, and responsible AI practices while coordinating Agile teams, integrations, releases, and operational handoffs.
The summary above was generated by AI
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.
We are hiring a Technical Program Manager to lead technology delivery for one or more multi-year technology programs. This is a program leadership role for the AI era: you will translate strategy into executable plans, orchestrate large cross-domain delivery, manage program governance and risk, and serve as the primary point of contact for stakeholders across overall program leadership, Technology, Data, shared services, and other functional groups.
The TPM role is an unbiased leader focused on the technical execution of the program. You will not simply manage the program status - you will modernize how programs are managed across technology teams, embedding AI assistants, automation, and data-driven decision-making into governance, reporting, and delivery operations. You will operate as a direct partner for business program leadership & technology leaders, influence decisions at all levels, and help institutionalize consistent, AI-enabled program delivery practices across the organization.
This role has a hybrid work arrangement (2 days per week onsite) in one of our tech hubs: Boston, MA; Portsmouth, NH; Columbus, OH; Indianapolis, IN; or Plano, TX.
Key Responsibilities:
Program Delivery & Delivery Management
  • Drive and monitor end-to-end program technical execution: develop and maintain multi-year, multi-domain delivery plans that sequence technical work, integrations, and program increments.
  • Serve as technology program manager: provide consistent, accurate, and timely program status, decisions, and delivery logistics to stakeholders and leadership.
  • Run delivery operations: coordinate cutovers, command-center execution, hypercare, and handoffs to BAU/operations.

Governance, Risk & Dependency Management
  • Establish and run program governance (SteerCo, decision logs, RACI/RASCI matrices, stage gates) and ensure timely escalation and clear accountability for decisions OR support program governance and visibility in programs with an overall program leader from outside the technology organization.
  • Own technology program risks: identify, quantify, and mitigate risks; maintain a RAID register; escalate proactively when delivery, timeline, or budget is threatened - before problems are realized, not after.
  • Continuously map and manage dependencies across teams, domains, and portfolios; detect, communicate, and drive resolution of slips before they impact downstream commitments.
  • Apply AI-powered analytics to program data to surface leading risk indicators, predict schedule variances, and enable earlier, better-informed interventions.

AI Proficiency & Delivery Modernization
  • Champion AI-enabled delivery:design, deploy, and continuously improve AI assistants and agents that automate program reporting, status synthesis, meeting summarization, RAID upkeep, and stakeholder communications.
  • Demonstrate working AI fluency: understand generative AI concepts (LLMs, prompt engineering, RAG, agents, Model Context Protocol) well enough to evaluate use cases, shape responsible adoption, and engage credibly with engineering teams building AI solutions.
  • Guide teams through the AI-augmented SDLC: understand how AI coding assistants, spec-driven development, and automated testing change delivery cadence, estimation, quality signals, and team composition.
  • Apply responsible-AI judgment: ensure AI usage within the program aligns with enterprise standards for security, data privacy, explainability, and ethics.
  • Model and mentor AI adoption: share reusable AI assets (assistants, prompts, playbooks) with the TPM community and coach teams and peers on effective, safe use of AI in daily delivery work.

Financials, Metrics & Reporting
  • Track program tech financials (burn vs. plan), surface corrective actions, and report forecast vs. actuals.
  • Define, collect, and report program delivery KPIs (leading and lagging), Agile/DevOps maturity metrics, team health, and quality indicators - increasingly through automated, AI-assisted dashboards rather than manual compilation.
  • Tie program reporting to business outcomes (reliability, customer experience, value realized), not just activity and milestones.

Stakeholder Management & Influence
  • Build and maintain stakeholder management plans for technical execution; communicate trade-offs clearly; eliminate friction that impedes delivery.
  • Present confidently to senior leadership, distilling complex technical and program information into clear insights that enable data-driven decisions.
  • Partner closely with Overall Program Leads (OPLs), Product Management, Tech Leads, Architects, DevOps, Data, Security, Finance, and Procurement to ensure alignment and timely decisions.

Community & Continuous Improvement
  • Engage with the enterprise TPM community to share best practices, contribute reusable playbooks and AI assets, and drive cross-program improvements.
  • Play an active role in shaping how the delivery function evolves in the world of AI - piloting new ways of working and scaling what works.
  • Operate independently: lead complex program workstreams with limited direction while escalating appropriately.
Qualifications
  • 10+ years' experience delivering software solutions in an agile environment; experience leading large, complex, multi-year programs.
  • Deep knowledge of Agile scaling practices and the ability to mobilize multiple agile teams across domains toward a shared mission.
  • Strong technical fluency - able to engage credibly on architecture, integrations, cloud platforms, data/AI pipelines, and NFRs.
  • Demonstrated AI proficiency: hands-on experience using generative AI tools (e.g., AI assistants, agents, copilots) to improve program execution, plus a working understanding of AI concepts sufficient to evaluate use cases and guide adoption.
  • Experience with JIRA, Confluence, and SPM/portfolio tools; comfortable defining and enforcing tooling and automation standards.
  • Demonstrated strength in governance, risk management, dependency mapping, and financial reporting (burn vs. plan).
  • Data-driven decision-making: able to define metrics, interpret analytics, and use AI-generated insights while applying sound human judgment.
  • Exceptional negotiation, facilitation, and consensus-building skills with cross-functional stakeholders.
  • Highly developed interpersonal skills and executive presence; proven ability to influence without direct authority.
  • Proven ability to operate with limited guidance and manage ambiguity in fast-evolving environments.
  • Bachelor's or Master's degree in a technical or business discipline (or equivalent experience).

Preferred
  • Experience in property & casualty insurance or other regulated industries, including familiarity with responsible-AI, compliance, and data-governance considerations.
  • Experience delivering AI/ML or data-platform programs, or embedding AI into the SDLC (AI-assisted development, testing, or operations).
  • Background in DevOps, release orchestration, or technical delivery leadership.
  • Relevant certifications: PMP, SAFe POPM/SPC, or equivalent; AI credentials such as Google Generative AI Leader, AWS Certified Cloud Practitioner / AWS AI Practitioner, or Microsoft AI Fundamentals are a plus.

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 within 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: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty 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

$137,000.00 - 257,000.00

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