Lead AI, Operating Model Design

MetLif; Cary (NC); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Health and dental insurance

401(k) with employer matching

Life insurance

Parental leave

Job summary

MetLife seeks a senior practitioner to lead the design of AI-first delivery operating models, including role definitions, decision rights, and governance across CIO organizations. The role blends enterprise architecture with regulated-delivery experience to redefine how teams plan, build, and govern AI-enabled software in a large enterprise.

You will author reference artifacts, partner with enterprise DevSecOps and Platform Engineering, and drive transition strategies for the target operating

Qualifications

• Hands-on experience designing agentic AI delivery roles, accountability, oversight, and archetypes.
• Extensive enterprise-architecture or operating-model consulting background in regulated environments.
• Experience designing flow-based delivery systems and modern Agile ways of working (SAFe, Lean, Kanban).
• Knowledge of governance, controls, and evidence capture for regulated delivery, including agent-executed work documentation.

Responsibilities

• Design AI-first governance, roles, and decision rights within CIO-led delivery.
• Create human-agent operating models and escalation workflows.
• Craft end-to-end lifecycle architecture reconciling PDLC/SDLC with enterprise standards.
• Collaborate with delivery leaders to incorporate field feedback and validate models.
• Produce reference artifacts: decision-rights matrices, cadences, and practical examples.
• Define readiness and adoption plans for structural change in large tech organizations.
• Ensure alignment with enterprise architecture standards and platform constraints.
• Support transition from current to AI-first operating model with sequencing and impact analysis.
• Validate designs with risk, audit, and platform engineering partners.

Skills

Agentic AI frameworks

Enterprise architecture experience

Flow-based delivery knowledge

Governance & controls design

Regulated delivery experience

Education

Bachelor's degree in a related field

Formal grounding in change methodology (Team Topologies, Prosci, TOGAF, etc.)

Tools

SAFe

Scrum

Kanban

TOGAF

Job description

About the team

DST is an individual-contributor team inside MetLife Global Technology, working directly with CIO organizations, Enterprise DevSecOps, Platform Engineering, and Enterprise Architecture. GitHub Enterprise and the agentic SDLC toolchain are being made productive now, and the AI-First Operating Model is being designed and proven in live delivery - this role shapes it rather than inherits it.

What is changing:

Global Technology is moving to an AI-first delivery model - agents performing delivery work alongside people, specifications and curated context replacing tribal knowledge, and review, traceability, and control points rebuilt around output that people and agents produce together.

Why this role matters:

the work of this team will redefine how teams plan, build, review, govern, and deliver technology in an AI-first environment - the roles people hold, the decision rights they carry, and the accountabilities that hold when an agent does the work. This role authors the design that change runs on, and the organizations implementing it work from what you produce.

Key Responsibilities

• Work AI-first in your own design practice - using AI to accelerate research, options analysis, artifact drafting, and stress-testing. Design credibility here depends on operating the way the target model expects others to operate.
• Author and maintain team archetypes and interaction patterns for AI-augmented delivery - team composition, AI integration level, and how teams interact across the delivery flow.
• Design role and accountability frameworks for the target operating model - role definitions, decision rights, skill expectations, and progression paths - aligned with the enterprise job family framework.
• Define the human-agent operating design - what people retain and what is delegated to agents, where human-above-the-loop review applies, and how accountability and escalation work when an agent acts - together with the governance and control points for agent-participating delivery, designed with Risk, Audit, Enterprise DevSecOps, and Platform Engineering.
• Set the design standards that keep operating-model decisions consistent across CIO organizations - when each archetype applies, what may be adapted locally, and where deviation requires approval - so organizations can make their own choices without escalating each one.
• Design the end-to-end lifecycle architecture that connects the PDLC and SDLC into one flow from product intent to running code, reconciled with MetLife Enterprise Architecture standards.
• Design the transition from today's delivery model to the AI-First target state - sequencing, dependency mapping, and phasing, together with the stakeholder impacts, role transition paths, and enablement requirements each archetype creates.
• Collaborate with enterprise delivery leaders, portfolio organizations, and advisory teams to incorporate field feedback, evaluate model effectiveness, and align future-state improvements with practical delivery realities.
• Produce the reference implementation artifacts CIO organizations work from - decision-rights matrices, operating cadences, and worked examples of the model applied to a real delivery context - validated with delivery teams so adoption does not depend on interpreting the design.

Required Qualifications

• Hands-on experience with agentic AI frameworks - how agents are configured, orchestrated, permissioned, and evaluated in real delivery workflows. You do not need to have built the platform, but you do need enough direct working experience to design roles, accountabilities, oversight models, and team archetypes for agent-participating delivery rather than describe them abstractly.
• 8+ years in enterprise architecture or operating-model / organizational-design consulting, including regulated-enterprise experience.
• Operating-model and role-framework design for large technology organizations, with design work that outlived a single tooling or methodology generation - and the command to defend that design to CIO leadership and the organizations expected to implement it.
• Design-level knowledge of flow-based delivery systems and modern Agile ways of working - Scaled Agile (SAFe) or comparable frameworks, the product operating model, Lean and Kanban - deep enough to take apart and rebuild, including where each breaks down under AI-augmented delivery, plus experience designing lifecycle architecture that reconciles with enterprise architecture standards and platform constraints.
• Experience designing governance, controls, and human-accountability models for regulated delivery - approval gates, decision rights, and evidence capture - including how agent-executed work is documented so risk and audit partners can review it.

Preferred Qualifications

• Adoption and readiness experience applied to structural change - role-transition design, stakeholder impact analysis, communication planning, and adoption sequencing - with designs that survived contact with the organizations expected to implement them.
• Experience working in a large enterprise organization of 1,000+ technologists and in regulated environments.
• Formal grounding in an organizational design, adoption, or change methodology - Team Topologies, sociotechnical systems design, Prosci, or equivalent - and experience defining readiness and measurement models that show whether a change took hold.
• Experience guiding an organization through a product operating-model transition, including the period when the previous model and the target model are both in effect.
• Relevant certifications - SAFe, Scrum, Kanban, PMI-ACP, Prosci, TOGAF, GitHub Copilot, Microsoft Azure AI, or comparable - and a bachelor’s degree in a related field, or equivalent practical experience.

#LI-WRAPJOB

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $130,000 - $160,000. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.

Benefits We Offer

Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! For more information regarding MetLife's U.S. benefits, please

About MetLife

Recognizedon Fortune magazine's list of the "World's Most Admired Companies",Fortune World's 25 Best Workplaces™, as well as the