Jobs · Engineering · New York

Director AI Tools Deployment at Scale

MetLife · Oriskany, NY · 1 mo ago
HybridEngineering$129k–$172k/yrFull-time
We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to extract content from posting. First, we need to decide headings: Use

for each section heading. We must not repeat job title as heading. The job title is "Director, AI Tools Deployment at Scale". Not to be used as heading. We need to include sections only if posting has real specific content. Let's parse posting: - Intro paragraph: "Join the nation’s largest non-medical carrier of group insurance, where your work will impact over 55,000 customers and cover more than 50 million employees and family members. As part of MetLife’s Group Benefits team, you’ll deliver innovative benefits solutions - life, disability, dental, vision, and voluntary benefits - tailored to today’s employers and workforces. Collaborate with customers, brokers, and partners to expand our offerings and reimagine digital experiences. Join us and be part of an organization committed to supporting customers when they need us most." That's about the role. Could be "About the role". We'll put that as

About the role

with

containing that paragraph. - Next: "The Opportunity The Director, AI Tools Deployment at Scale leads how USB turns broad access to AI tools — such as Claude Cowork, Microsoft Copilot, Cursor and others — into widespread adoption, constant experimentation and tangible gains in productivity and process performance. This is a hands-on, embedded role: observe how colleagues operate, identify where AI can remove friction or unlock capacity, co-develop the solutions, and track and report the impact. Success requires strong strategic thinking, execution discipline, fluency with AI tools, executive presence, and the ability to influence across a highly matrixed organization. We are especially interested in candidates who have deployed AI tools at scale before." That's also about the role, maybe part of same section. - Then "Key Responsibilities" heading in posting. We'll create

Responsibilities

with
  • items. List of responsibilities: - Embed with USB teams to observe workflows, identify process-improvement and productivity opportunities, and build and prioritize a pipeline of AI use cases sized by effort, feasibility, and impact. - Co-develop AI solutions with end users — including prompts, agents, and Copilot/Claude/Chat GPT workflows — iterate based on real usage, and scale proven wins into reusable patterns for enterprise-wide rollout. - Champion AI adoption and fluency across teams, researching and recommending AI tools as needed, and collaborating with Enterprise Strategy and Capabilities teams to share best practices across MetLife. - Partner with Technology, Data, and Risk to ensure solutions remain secure, compliant, and aligned with MetLife's AI governance framework. - Define metrics and baselines, track and report realized impact across growth, adoption, and efficiency, and maintain executive communications for senior leadership. We'll put each as
  • . - Then "Required Qualifications" heading. We'll create

    Required Qualifications

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    • . List: - 3-5+ years in management consulting, product management, corporate strategy, business transformation, finance, or related roles. - Proficiency using and experimenting with a wide variety of personal AI tools (e.g., Claude Cowork, Microsoft Copilot, Riplit, Cursor, Lovable). - Experience in building working solutions/products/apps/websites using AI tools in day-to-day life and work. - Hands-on, ownership-driven mindset with strong analytical, financial modeling, and problem-solving capabilities, and a proven ability to lead and influence across multiple teams. - Ability to embed AI into core team workflows and use tools and data insights to improve outcomes, address complex issues, and drive measurable performance improvements. - High School Diploma or equivalent. We'll list each. - Then "Preferred Qualifications". Could be a separate section "Preferred Qualifications" but we only have headings list: Requirements, Qualifications, Skills, Benefits, Pay, Schedule. The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to map content accordingly. "Required Qualifications" could go under "Qualifications". "Preferred Qualifications" could also go under "Qualifications" maybe as part of same section or separate? The instruction says include a section ONLY when posting has real specific content for it. We have both required and preferred qualifications; we could combine them under Qualifications with sub-bullets? But we must not invent headings not listed. We could put both under Qualifications, maybe separate
        for required and preferred? But we need to preserve all substantive info. Could do two
          under same heading: one for Required, one for Preferred, with preceding

          indicating which. That's acceptable. - Skills: The posting mentions skills like strategic thinking, execution discipline, fluency with AI tools, executive presence, ability to influence, analytical, financial modeling, problem-solving, leadership, etc. Could be captured under Skills section. But we already have many skill-like items in qualifications. Might be redundant. However we need to decide if we should create a Skills section. The posting does not have a explicit "Skills" heading, but we can extract skill-related content. The instruction: "Use

          for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can create a Skills section if there is specific content. There is mention of skills: strong strategic thinking, execution discipline, fluency with AI tools, executive presence, ability to influence across a highly matrixed organization, strong analytical, financial modeling, and problem-solving capabilities, proven ability to lead and influence across multiple teams, ability to embed AI into core team workflows and use tools and data insights to improve outcomes, address complex issues, and drive measurable performance improvements. Also natural curiosity, inclination to challenge the way work has always been done, track record of inspiring and leading people to adopt new tools and/or processes. Those could be skills. We could put them under Skills. But we also have qualifications that overlap. To avoid duplication, maybe we put qualifications (education, experience) under Qualifications, and skills under Skills. That seems reasonable. Thus: - Qualifications: required and preferred qualifications (education, experience). We'll list required and preferred as separate
            with preceding

            indicating. - Skills: list of skills (strategic thinking, execution discipline, fluency with AI tools, executive presence, ability to influence, analytical, financial modeling, problem-solving, leadership, ability to embed AI into workflows, use tools/data insights, natural curiosity, challenge status quo, inspire adoption). We'll create

              . - Benefits: The posting has a "Benefits We Offer" section with details. We'll create

              Benefits

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              • items. List benefits from that paragraph: - comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. - company-paid life insurance and legal services - 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 - Employee Assistance Program (EAP) and digital mental health programs - parental leave - paid time off - paid holidays - volunteer time off - tuition assistance - much more (but we should not include vague "much more"? It's substantive but vague. Might keep as is? The instruction: do not include filler/placeholder text like "commensurate with experience", "not specified", "N/A", "varies", "TBD". "much more" is vague but not exactly placeholder; it's a phrase indicating additional benefits. Might be okay to include but could be considered filler. Safer to omit "much more". We'll list the specific ones. - Pay: The posting includes salary range: "The expected salary range for this position is $128,800 - $171,700. This role may also be eligible for annual short-term incentive compensation." We'll create

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                containing that. - Schedule: The posting includes location expectation: "Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office." That's schedule/hybrid expectation. We'll create

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                containing that. We must not include boilerplate like EEO, legal, etc. Remove those. Now produce HTML fragment: only the sections, each with

                and content. We need to ensure we don't include any markdown fences. Let's craft. Structure:

                About the role

                Join the nation’s largest non-medical carrier of group insurance, where your work will impact over 55,000 customers and cover more than 50 million employees and family members. As part of MetLife’s Group Benefits team, you’ll deliver innovative benefits solutions - life, disability, dental, vision, and voluntary benefits - tailored to today’s employers and workforces. Collaborate with customers, brokers, and partners to expand our offerings and reimagine digital experiences. Join us and be part of an organization committed to supporting customers when they need us most. The Opportunity The Director, AI Tools Deployment at Scale leads how USB turns broad access to AI tools — such as Claude Cowork, Microsoft Copilot, Cursor and others — into widespread adoption, constant experimentation and tangible gains in productivity and process performance. This is a hands-on, embedded role: observe how colleagues operate, identify where AI can remove friction or unlock capacity, co-develop the solutions, and track and report the impact. Success requires strong strategic thinking, execution discipline, fluency with AI tools, executive presence, and the ability to influence across a highly matrixed organization. We are especially interested in candidates who have deployed AI tools at scale before.

                But note we repeated "The Opportunity" sentence; it's okay. Alternatively we could split into two paragraphs but fine. Next:

                Responsibilities

                • Embed with USB teams to observe workflows, identify process-improvement and productivity opportunities, and build and prioritize a pipeline of AI use cases sized by effort, feasibility, and impact.
                • Co-develop AI solutions with end users — including prompts, agents, and Copilot/Claude/Chat GPT workflows — iterate based on real usage, and scale proven wins into reusable patterns for enterprise-wide rollout.
                • Champion AI adoption and fluency across teams, researching and recommending AI tools as needed, and collaborating with Enterprise Strategy and Capabilities teams to share best practices across MetLife.
                • Partner with Technology, Data, and Risk to ensure solutions remain secure, compliant, and aligned with MetLife's AI governance framework.
                • Define metrics and baselines, track and report realized impact across growth, adoption, and efficiency, and maintain executive communications for senior leadership.
                Next:

                Qualifications

                Required:

                • 3-5+ years in management consulting, product management, corporate strategy, business transformation, finance, or related roles.
                • Proficiency using and experimenting with a wide variety of personal AI tools (e.g., Claude Cowork, Microsoft Copilot, Riplit, Cursor, Lovable).
                • Experience in building working solutions/products/apps/websites using AI tools in day-to-day life and work.
                • Hands-on, ownership-driven mindset with strong analytical, financial modeling, and problem-solving capabilities, and a proven ability to lead and influence across multiple teams.
                • Ability to embed AI into core team workflows and use tools and data insights to improve outcomes, address complex issues, and drive measurable performance improvements.
                • High School Diploma or equivalent.

                Preferred:

                • Experience leading AI enablement or change efforts at scale —

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