AVP, AI Orchestration

MetLife•Warren Township, NJ
•$180,000 - $230,000•Hybrid

About The Position

The AVP, AI Orchestration is a newly created role connecting MetLife’s enterprise AI strategy with its implementation across US Technology and the US Businesses. The position turns shared AI platforms and capabilities into measurable business outcomes and accelerates agentic redesign of business processes across digital channels and product lines. The role reports directly to the CIO and works with enterprise teams responsible for AI foundations, with frontline insights informing future platforms. The role shapes enterprise AI adoption, standards, enablement, measurement, governance, regulatory readiness, tooling strategy, and AI-accelerated operating models. It also represents US Technology’s AI strategy within MetLife and with external partners. This is a hybrid position requiring at least three days per week in the office, with 25% travel required. The posting lists Cary, North Carolina, as the location, with alternative posting locations in New York, New York, and Warren, New Jersey.

Requirements

  • 10+ years of progressive technology leadership experience across engineering, product, or delivery, including 4+ years leading enterprise transformation, organizational change, or technology modernization with measurable business impact.
  • Ability to influence CIO-level and senior leaders, build coalitions, resolve competing priorities, and deliver outcomes across a highly matrixed organization without direct authority.
  • Proven record of driving large-scale adoption of technology, delivery practices, or new ways of working across multiple teams or business areas.
  • Hands-on fluency with modern AI capabilities and tooling, including Copilot, Claude, internal LLM platforms, retrieval-augmented generation, vector search, embeddings, model validation, and agentic delivery models.
  • Working knowledge of responsible AI governance and technology risk in a regulated industry, and ability to partner effectively with Risk, Legal, Compliance, and Data Governance.
  • Ability to translate between technical and executive audiences with accuracy, clarity, and strategic focus; strong executive presence and external-facing communication capability.
  • Experience building and mobilizing virtual teams, champion networks, or communities of practice and sustaining accountability through influence and measurable outcomes.

Nice To Haves

  • Insurance or other regulated-industry experience.
  • Familiarity with NAIC or state AI guidance.
  • Background spanning technical delivery and organizational enablement.
  • Public speaking, thought leadership, or analyst/vendor engagement experience.

Responsibilities

  • Define and drive the US Businesses’ enterprise approach to AI adoption across technology planning, engineering, delivery, governance, and communications; align leaders and teams around shared priorities and outcomes.
  • Establish and maintain an enterprise AI capability catalog of approved tools, platforms, reusable services, agents, patterns, and use cases; identify and scale successful practices to reduce duplication and fragmentation.
  • Lead a virtual network of AI champions and equip teams through playbooks, training, workshops, office hours, and hackathons, converting experimentation into sustained daily usage.
  • Define adoption and effectiveness measures for the CIO and senior leadership; identify barriers, recalibrate interventions, and demonstrate business and delivery impact with evidence.
  • Partner with Risk, Legal, Compliance, and Data Governance to establish responsible AI acceptable-use guardrails, review checkpoints, and clear human accountability, especially for higher-risk insurance and customer-facing applications.
  • Monitor relevant AI regulatory developments and translate requirements into practical policy, controls, and operating guidance.
  • Drive consistent, interoperable use of AI development tools and internal LLM platforms; evaluate emerging tools and vendors and provide build-versus-buy-versus-partner recommendations to the CIO and UST SLT.
  • Embed AI across requirements, code generation, testing, documentation, and delivery workflows; redesign team rituals, roles, and success measures for hybrid human-agent work; scale pilot outcomes into repeatable patterns.
  • Represent US Technology’s AI strategy across MetLife and with key partners; build relationships with vendors, analysts, and industry peers; partner with Corporate Communications on the enterprise AI narrative.

Benefits

  • Medical and prescription drug coverage
  • Vision insurance
  • Dental insurance
  • No-cost short- and long-term disability
  • Company-paid life insurance
  • Legal services
  • Company-funded retirement pension
  • 401(k) with employer matching
  • Group discounts on voluntary insurance products, including auto and home, pet, critical illness, hospital indemnity, and accident insurance
  • Employee Assistance Program (EAP)
  • Digital mental health programs
  • Parental leave
  • Paid time off
  • Paid holidays
  • Volunteer time off
  • Tuition assistance
  • Annual short-term incentive compensation may be available
  • Stock-based long-term incentives may be available
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