Sr. Staff Global Customer Enablement Program Lead

CSQ128R3

The Senior Staff Enablement Program Lead for Global Customer Enablement Partnerships is a strategic, mission-critical leadership role responsible for scaling and accelerating Databricks’ customer enablement business through a global partner ecosystem. This role owns the end-to-end global partnerships activation, from strategy on expanding partnership models and commercial offerings to enabling our partners and setting the operational and quality standards that ensure non-linear learner and training revenue growth. Its mandate is to accelerate the growth of users with Databricks skills and certifications while materially scaling the practice toward its multi-year objectives. 

Reporting into the Global Customer Enablement Practice, you will serve as the global single-threaded owner for the partnership models, working across Learning Curriculum and Delivery, Legal, Finance, Commercialization, Regional Customer Enablement and GTM Enablement to bring the strategic vision to life.

The impact you will have:

• Strategy and Program Design: Drive the multi-year partnership vision and strategy with an opinionated, benchmarked point of view and stretch targets, and develop programs to bring the strategy to life with appropriate architecture and governance. 
• Global Operating Model and RoE: Establish the global operating model and rules of engagement (RoE) with partner leadership to minimize cross-regional channel conflict (with regional adjustments), and define audit mechanisms and quality metrics for engagement excellence. 
• Offering, Commercialization and GTM: Own the SKU structure, pricing, and commercial terms for partner products, along with the global GTM framework to drive partner-influenced learners and training revenue.
• Partnership Enablement Standardization: Lead end-to-end enablement programs for global partners—including curriculum, certification, and readiness—ensuring flawless execution, adherence to rules of engagement, and consistent high-quality engagements.
• Cross-Functional Alignment: Drive internal cross-functional execution across Curriculum and Delivery (offerings development), Legal (contracting), Commercialization (SKU design and investment strategy), Training Operations (revenue recognition and system-of-record tracking) and GTM Enablement. 
• Regional Support and Alignment: Develop and uplevel the regional partnership resources, setting the capability model and standards they adopt.
• AI-Forward Scaling: Define and champion how AI is used to scale both Databricks and partnership success across regions. 

What we look for:

• Experience: 10+ years leading Global Partner/Channel Management, Partner Sales, or Education/Training Business Development in a global enterprise software or cloud company.
• P&L and Strategy Ownership: Proven track record owning a global P&L, defining multi-year strategies from ambiguity, and managing an education/enablement book of business, including pricing, SKU creation, and channel incentives aligned to partner profitability and revenue goals.
• Global Program & Operating Expertise: Deep expertise in partnership models (ATPs, GSIs, IP licensing/royalties) and launching global governance, RoE, and partner-led delivery systems (CRM/LMS integration).
• Leadership and Influence: Proven ability to lead cross-functional teams (Legal, Finance, Product, Regional Sales) without direct authority and demonstrate strong executive presence with VP/C-suite and partner leadership.
• Domain Knowledge: Strong understanding of data/AI (e.g., Lakehouse architecture) and enablement's role in platform adoption, with a required AI-forward mindset to scale enablement.

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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.