Posted by employer 5 months ago
First seen on Joblaze 5 months ago
Last verified on the company career page 6 days ago
Skills & Technologies
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior Customer Enablement Program Manager at Databricks, the individual will focus on designing and launching innovative learning programs that enhance user engagement and adoption across various teams. Key skills include technical program management, experience with AI and data science, and the ability to create scalable processes. This position is ideal for someone with over six years of relevant experience who thrives in dynamic environments and enjoys building programs from the ground up. The role offers a chance to collaborate with cross-functional teams and contribute to the company's mission of democratizing data and AI.
Joblaze insights
Quick facts
From the original posting
CSQ427R4
As a Senior Program Manager within the Global Scaled User Enablement Practice, you will have the unique opportunity to design and launch new learning experiences that expand how Databricks enablement upskills and activates users globally.
You will report to the Global Scaled User Enablement Practice Leader and will own the strategy and execution of new scaled user learning programs, from pilot to global scale. You will bring an AI-first mindset to how learning is designed and delivered. Leveraging data, automation, and intelligent tooling to scale impact, while never losing sight of the human experience at the center of every program. You will leverage your expertise in program management, AI & data science, or equivalent enterprise technologies and stakeholder engagement to build compelling enablement experiences and drive adoption across GTM teams.
This is an exciting opportunity for a motivated and innovative entrepreneur with a passion for building new learning programs from the ground up and working across departments and regions.
The impact you will have:
What we look for:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
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