Director, AI Enablement

Director, AI Enablement at Korn Ferry Director, AI Enablement at Korn Ferry in Moorpark, California Posted in 6 days ago.

Type:

full-time

Job Description:

Location:

Any US based location (100% in office role) (Hartford, CT, Denver, CO, Moorpark, CA, or Portland, ME Korn Ferry has partnered with our client on their search for the role, Director, AI Enablement. 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 high-consequence, regulated industrial environments. 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 how work gets done-integrating it into existing processes, systems, and decision points in a way that is practical, scalable, and adopted by the business. This role will operate at the center of that transformation, sitting at the intersection of: Corporate leadership, to align priorities and drive enterprise focus Business unit operations, to identify real-world use cases and ensure adoption Data and analytics, to leverage available data and insights effectively Enterprise systems, to deploy solutions within existing technology environments The Director - AI Enablement will need to navigate across these groups, building alignment, influencing stakeholders, and driving coordinated execution. Success will require the ability to translate strategy into action, bridge technical capability with business need, and ultimately drive sustained adoption and measurable impact across the organization. Qualifications & Background Key Responsibilities The Director - AI Enablement will be responsible for translating AI capabilities into practical, high-impact business solutions across Confidential's portfolio. The role will focus on identifying opportunities, deploying solutions, and driving adoption in a way that delivers measurable value. Identify & Prioritize Use Cases Partner with business leaders across

CONFIDENTIAL

to understand workflows, pain points, and opportunities for improvement Identify and prioritize high-impact GenAI use cases focused on productivity, decision-making, and operational efficiency Evaluate opportunities based on feasibility, speed to impact, and business value Deploy Practical AI Solutions Rapidly implement solutions using enterprise tools such as: ChatGPT Enterprise (custom GPTs, agents) Microsoft 365 Copilot Embedded AI within core platforms (Salesforce, Workday, IFS) Focus on usability, scalability, and speed over technical complexity Test, iterate, and refine solutions in real-world environments Drive Enterprise Adoption Lead change management efforts to ensure sustained adoption across business units Build credibility with senior leadership and key stakeholders Educate and enable teams on how to apply AI tools effectively in their daily work Establish Repeatability & Governance Develop role-based playbooks, prompt libraries, and best practices Establish governance and usage guidelines to ensure safe and effective AI deployment Create repeatable models for scaling successful solutions across the enterprise Measure & Communicate Impact Define and track success metrics (e.g., productivity gains, cycle time reduction, output quality) Demonstrate measurable business value across use cases Communicate outcomes clearly to leadership to build momentum and alignment The Candidate Candidate Profile The ideal candidate will bring a business-first mindset, strong execution capability, and the ability to translate emerging AI capabilities into real-world impact. Core Capabilities Pragmatic AI Application | Applies GenAI tools to solve business problems quickly, prioritizing practical, usable solutions over technical complexity Workflow-Centric Thinking | Understands how work gets done across functions and identifies opportunities to embed AI into workflows Structured Problem Solving | Translates business challenges into prioritized use cases and measurable outcomes Rapid Execution & Iteration | Moves quickly from idea to implementation, iterating based on real-world feedback Change Leadership | Drives enterprise adoption by influencing stakeholders and enabling sustained behavior change Executive Communication & Influence | Effectively communicates value and aligns senior leaders on priorities and direction Hands-On Learning Agility | Learns and applies new tools through experimentation and real-world application Dual-Level Operator | Able to operate strategically at the enterprise level while remaining hands-on in execution