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IntradiemEngineering
Director, Enterprise AI Enablement
United StatesPosted 7 days ago
Intradiem is a leader in Dynamic Workforce Orchestration, helping organizations create service agility by connecting people, technology, and real-time data to improve customer experiences and support employees. They focus on practical, collaborative solutions that empower humans and foster a people-first culture.
Location: United States
Responsibilities
- 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.
- 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.
- 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.