Sobre este puesto de Alliance RVP, McKinsey en Databricks
SLSQ327R541
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
As the Alliance Leader, you will own the partner management function for McKinsey. This includes strategic partnership planning, sponsor development, capability development, solution development, thought leadership, partnership promotion, business development, and relationship management. You will report to the VP, Partner Program.
The impact you will have:
- You will expand the mindshare for Databricks within the McKinsey partner organization, primarily by nurturing and developing multiple sponsors and stakeholders that have a vested interest in the Databricks partnership
- You will build a healthy and sustainable services business by expanding the skills and assets, encouraging thought leadership, supporting the development of relevant offerings, promoting the relationship, building a network of stakeholders, and identifying and advancing the pipeline
- You will demonstrate the impact of your partner on Databricks adoption (primarily via executive influence and thought leadership)
What we look for:
- Leadership: experience working with senior executives
- Management Consulting: 10+ years of experience with management consulting providers
- Relationship Management & Planning: balancing priorities within a relationship to optimize outcomes
- Working as a Team: the ability to work across teams to drive outcomes, including account teams, sales management, solution architects, enablement leaders, cloud specialists, field marketing, and operations
- Execution Readiness: support practice and skills development for C&SI Partners with a balanced approach to enablement programs, differentiated asset & offering development, internal promotion, marketing activities and delivery excellence
- Good Governance: work with your partner to ensure the right governance is in place, including agreements, executive relationships and processes
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 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.
