Description

The AI Enablement Lead plays a pivotal role in accelerating enterprise-wide AI adoption across non-engineering teams. This individual identifies high-impact opportunities to enhance workflows, designs scalable AI-driven solutions, and partners closely with business, technology, and governance stakeholders to ensure thoughtful, compliant implementation.

Key Responsibilities:

• Partners with leaders across non-engineering functions to assess workflows, identify high-value AI and automation opportunities, and prioritize initiatives based on business impact, feasibility, and strategic alignment.
• Designs AI-enabled workflow approaches that integrate with enterprise systems, data sources, and approved tooling environments, with clear requirements for implementation teams.
• Translates prioritized use cases into implementation-ready materials, including workflow definitions, process maps, requirements, data considerations, and acceptance criteria.
• Supports alignment of cross-functional AI initiatives with enterprise governance, privacy, security, confidentiality, and compliance requirements in partnership with relevant stakeholders.
• Leads targeted enablement and change adoption efforts within business functions to improve effective, sustained use of AI-enabled workflows.
• Documents repeatable patterns, standards, and playbooks that improve the scalability and consistency of AI enablement across departments.

Required Qualifications:

• Significant experience in technology, consulting, solutions architecture, technical program management, product management, or a related field.
• Experience leading cross-functional transformation, workflow improvement, or technology adoption initiatives across multiple business functions in a complex operating environment.
• Experience assessing business processes, identifying automation opportunities, and designing scalable workflow solutions.
• Strong written and verbal communication skills, including the ability to translate between executive, operational, and technical audiences.
• Experience working within enterprise environments with established governance, privacy, security, and compliance expectations.
• Demonstrated ability to define measures of success and use data to evaluate outcomes and drive accountability.

Preferred Skills:

• Experience in a private equity-backed software company or a similarly performance-driven operating environment.
• Familiarity with enterprise AI, workflow automation, integration, or service platforms used to support business process transformation.
• Experience in edtech, higher education, publishing technology, or other content- and workflow-intensive business environments.
• Experience contributing to an AI governance body, center of excellence, or similar cross-functional operating model.
• Practical experience supporting change management, stakeholder adoption, or enterprise process redesign

Key Skills

Education

Any Graduate