Director, Enterprise AI Enablement

🕒 Yesterday

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Intradiem

WebsiteLinkedInAll Job Openings

51 - 200 employees

💰 $35M Debt Financing on 2021-11

Intradiem provides Intelligent Automation Solutions for customer service teams. This real-time automation unlocks the value of your center data to maximize productivity, engagement, and customer experience.

📋 Description

• Own and drive Intradiem's internal AI transformation roadmap, translating company strategy into a prioritized, phased execution plan • Define and manage the AI use case pipeline across intake, evaluation, prioritization, and sequencing across all business functions • Serve as the organizational owner of Intradiem's AI operating model, driving the shift from ad hoc adoption to structured, scalable capability • Establish enterprise AI architecture through strategic framework selection and standardized, reusable development patterns that support consistent delivery across the business • Lead and grow a dedicated AI Enablement team responsible for use case delivery, workflow automation, and business enablement • Balance strategic direction with hands-on involvement, willing to lean in directly on tooling, architecture decisions, and use case execution where needed • Own the management, administration, and optimization of internal AI tools and platforms, ensuring they are well-governed, widely adopted, and delivering measurable value • Report directly to the VP of Technology and serve as the primary internal voice and decision-maker for AI transformation • Evaluate, select, and manage AI products, platforms, and services in partnership with the VP of Technology, with authority to move at speed and scale • Support AI transformation budget allocation in coordination with leadership, ensuring spend is tied to measurable business outcomes • Build, manage, and chair the AI Center of Excellence, Intradiem's cross-functional steering body for AI prioritization, adoption, and accountability • Establish and maintain AI governance frameworks covering responsible use policies, intake processes, and decisioning in partnership with Legal, Security, Compliance, and the People Team • Serve as the designated internal spokesperson for the AI program, collaborating across teams and with strategic partners to communicate progress and maintain alignment • Lead change management efforts to move the business through the AI transformation, building fluency, confidence, and sustainable adoption at all levels • Design and deliver role-based, in partnership with Learning Services, AI enablement programs, workshops, and learning initiatives tailored to technical and non-technical teams • Partner with functional leaders to identify, develop, and deploy AI solutions that reduce manual work, accelerate decisions, and create competitive leverage • Foster a culture of experimentation, innovation, and AI fluency across the organization • Develop and own key AI KPIs tracking adoption, active use cases, time-to-value, and business impact (including ROI and cost/efficiency savings) • Drive quarterly goal accountability for the AI program, reporting progress to leadership and the steering committee • Stay current on emerging AI technologies, regulatory developments, and industry trends to continuously sharpen strategy and decision-making

🎯 Requirements

• 10+ years of experience in SaaS, enterprise software, technology enablement, or transformation roles. • 3 to 5+ years leading AI adoption initiatives, automation programs, or enterprise change management efforts • Hands-on experience with AI and GenAI platforms such as OpenAI, Anthropic, Microsoft Copilot, etc… and a working understanding of LLMs, APIs, and AI-native tooling • Proven ability to lead organizational change and drive adoption across distributed, cross-functional teams • Strong communication and executive presentation skills, with the ability to make complex technical concepts clear and actionable • Experience building and managing high-performing teams in fast-paced environments • Familiarity with AI governance, ethical AI frameworks, data privacy standards, and evolving AI regulations.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development