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Director, AI Enablement

Job in Hartford, Hartford County, Connecticut, 06112, USA
Listing for: Korn Ferry
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Location: Any US based location (100% in office role) (Hartford, CT, Denver, CO, Moorpark, CA, or Portland, ME)

Purpose of the Position

The Director – AI Enablement is responsible for translating emerging AI capabilities into tangible business outcomes by identifying high-impact use cases and deploying practical solutions that improve decision-making, productivity, and operational efficiency. At a time when Confidential is poised to move from fragmented experimentation to scaled application, this role ensures that AI is embedded into day-to-day workflows—driving consistent adoption across business units through strong change leadership and stakeholder engagement.

By prioritizing initiatives based on business value and feasibility, the Director focuses the organization’s efforts on the highest-impact opportunities. In parallel, the role establishes repeatable approaches, playbooks, and governance to scale successful use cases, ultimately building a sustainable, enterprise-wide AI capability that transforms how work gets done across the enterprise.

Why This Role, Why Now

Confidential operates across a portfolio of industrial and engineered businesses—including a diversified portfolio of industrial, scientific, and engineered businesses—each with distinct operating models, regulatory requirements, and workflows. While the organization has access to leading enterprise platforms and emerging AI tools, adoption today remains fragmented and often driven by individual initiative rather than coordinated, enterprise-wide execution.

This creates a significant opportunity to move from experimentation to scaled application. In high consequence environments such as regulated industrial settings, AI has the potential to enhance areas such as safety, quality, engineering productivity, supply chain decision-making, and operational efficiency. Realizing this potential will require embedding AI directly into how work gets done—across engineering, manufacturing, operations, and corporate functions—in a way that is practical, reliable, and aligned to the needs of each business.

This role has been created to capitalize on that opportunity. As Director – AI Enablement, you will lead the deployment of practical, high-impact AI solutions that improve how teams operate, make decisions, and deliver results across CONFIDENTIAL’s diverse portfolio. Rather than focusing on building models, you will work directly with business leaders to identify meaningful use cases, apply tools such as ChatGPT Enterprise and Microsoft Copilot, and embed these capabilities into everyday workflows.

This is a highly visible, hands-on role with strong executive support, offering the opportunity to drive immediate, measurable impact while building a scalable foundation for AI across the enterprise. The position provides a rare combination of strategic influence and hands‑on execution, along with a clear path to broader leadership opportunities as AI becomes a core capability within Confidential.

Organizational Context

The organization operates across a diversified portfolio of industrial, scientific, and technology‑driven businesses. As a result, workflows, systems, and decision‑making processes vary significantly across business units, creating both complexity and opportunity.

The organization has invested in core enterprise platforms—including Microsoft, Salesforce, Workday, and IFS—and now has increasing access to emerging AI capabilities embedded within these systems, as well as tools such as ChatGPT Enterprise. While these capabilities are becoming more available, their application across the enterprise remains uneven, with usage often driven by individual initiative rather than structured deployment.

AI presents a unique opportunity to address this gap by:

  • Simplifying complexity across business units and functions
  • Enhancing decision‑making through faster access to insights and information
  • Improving operational efficiency, speed, and output quality across core workflows

However, realizing this potential will not be achieved through centralized data science or standalone model development. Instead, success will depend on embedding AI directly into…

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