Senior Customer Enablement Program Manager

Databricks is a data and AI company that provides a unified platform for building and scaling data, AI, and analytics applications. The Senior Customer Enablement Program Manager will design, launch, and scale global user learning experiences, using AI, data, automation, and stakeholder engagement to drive enablement and adoption across go-to-market teams.

Responsibilities:

• Build and launch new learning programs end-to-end in close partnership with with teams across Learning & Enablement, Operations, Regional Business and GTM - Marketing, Sales and Field Engineering
• Design and scale innovative learning programs within Databricks Free Edition, turning the platform into a world-class entry point for Learner growth and User adoption globally
• Define learning initiatives for emerging technical audiences, such as App Developers and Database Admins, in close partnership with Product, Content Development, and Regional Program Managers to design, pilot, and scale learning programs globally
• Track program performance and drive accountability through data-driven reporting and actionable insights

Requirements:

• 6+ years of technical program management and stakeholder management experience in an enterprise technology company
• Impact-driven with a growth mindset, embraces change, adapts quickly, and see ambiguity as an opportunity
• Experience designing and launching new programs or pilots from zero to one, with the ability to navigate ambiguity and work independently with minimal direction
• Ability to develop compelling stories based on data and motivate stakeholders and leaders to action
• Experience creating scalable and simple processes and resources that are adopted by cross-functional teams
• Experience working in or with product and go-to-market teams, such as professional services, customer success, marketing, sales
• Strong understanding of enablement programs and training methodologies
• Strong communications and presentation skills
• Experience in Big Data, AI, data science, or equivalent enterprise technologies preferred