[Hiring] AI Enablement Lead, Talent & Leadership Development @Databricks

Role Description

We are seeking a program leader who doesn’t just run learning programs — but builds scalable learning systems. This role sits at the intersection of talent development, employee experience, and applied AI innovation. You will design and operationalize new approaches to onboarding, manager effectiveness, career growth, and leadership development using automation, data, and emerging AI technologies.

Join our Talent and Leadership Development team to architect and scale flagship experiences that empower thousands of Bricksters worldwide. This is an opportunity to help redefine how development works in the era of AI — moving beyond workshops and courses toward embedded, continuous, and agent-supported learning.

Qualifications

• Bachelor’s degree (or equivalent experience) and 5+ years owning global learning, talent, or people programs in fast-paced or scaling organizations.
• Experience building scalable programs (onboarding, manager development, leadership development, or talent acceleration) — not just facilitating workshops.
• Strong systems thinker: you design processes and experiences that work for thousands of employees, not dozens.
• Demonstrated curiosity and practical use of AI tools (e.g., copilots, knowledge assistants, automation workflows, personalization, or analytics) to improve employee or learning experiences.
• Comfortable experimenting and prototyping new solutions with limited resources.
• Highly analytical: you use data to prioritize problems, evaluate effectiveness, and drive adoption.
• Strong stakeholder management and ability to influence senior leaders.
• Clear communicator who can translate business needs into practical, scalable development solutions.
• Experience in technology or high-growth environments strongly preferred.

Requirements

• Own and scale one or more flagship talent development programs (e.g., career development, manager enablement, onboarding, or top talent acceleration).
• Design and implement AI-enabled learning experiences, including copilots, assistants, mentoring networks, and personalized learning pathways.
• Evolve programs from event-based learning to continuous, embedded development in the flow of work.
• Partner with HR, business leaders, and technical teams to translate business problems into scalable development solutions.
• Facilitate global programs across functions and regions (e.g., onboarding, leadership development).
• Build and experiment with new approaches to agentic learning — using AI agents, automation, and knowledge systems to support employees, managers, and leaders in real time.
• Leverage data, experimentation, and analytics to understand skills gaps, adoption, and business impact.
• Measure program effectiveness and continuously iterate using product and growth-mindset practices (pilots, testing, and iteration).

Benefits

• Comprehensive benefits and perks that meet the needs of all employees.
• Eligibility for annual performance bonus, equity, and other benefits.