CSQ127R338
About the RoleWe are seeking an experienced Senior Enablement Program Manager to support the Enablement PMO at Databricks, driving a portfolio of AI-powered programs that transform the learner experience and accelerate how our employees, partners, and customers learn and adopt Databricks. This role operates as a critical business partner to senior leaders across Learning & Enablement, GTM, and central functions, translating strategic priorities into clear roadmaps and executable, high-impact programs.
You will own the end-to-end delivery of complex projects and AI transformation initiatives, while also managing a robust ecosystem of vendors and staff augmentation partners.
The ideal candidate brings strong project and program management discipline, comfort operating at all levels of the organization, and a first-principles approach to solving ambiguous problems in a fast-moving environment.
The role reports directly to the Sr. Director, Enablement PMO.
The impact you will have- Drive the planning, execution, and delivery of learning and enablement projects, ensuring clear scope, timelines, success criteria, and stakeholder alignment.
- Lead AI-focused transformation initiatives within the learning ecosystem (for example, AI-powered, personalized learning experiences and workflow automation) from pilot through scaled adoption.
- Partner closely with leaders across Learning & Enablement, GTM, Product, IT, and Data/AI teams to prioritize and scale programs that improve enablement effectiveness and operational efficiency.
- Manage the full lifecycle of staff augmentation contractors, including onboarding, extensions, offboarding, time/expense approval, and accurate, timely payments in partnership with Finance and Procurement.
- Oversee key vendor relationships, including day-to-day operations, performance management, and alignment to budget, contractual commitments, and strategic objectives.
- 5–7+ years of experience in project or program management in a technology, learning, or operations environment, with demonstrated ownership of cross-functional initiatives.
- Hands-on experience managing or supporting AI, ML, or automation initiatives, such as implementing AI-powered tools, analytics, or workflow automation in a business context (no deep engineering expertise required).
- Proven track record managing vendors and staff augmentation partners, including onboarding, performance oversight, invoice and payment coordination, and compliance with internal processes.
- Strong problem solver with a first-principles mindset and exceptional written and verbal communication skills, able to influence and build trust across all levels of the organization.
- PMI or equivalent project management certification (for example, PMP) strongly preferred; experience in learning, enablement, or education technology is a plus.
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
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
