Senior Director, Global Deloitte Lead

Posted 8 Days Ago
Be an Early Applicant
San Francisco, CA
231K-354K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead the partnership between Databricks and Deloitte, focusing on strategy, growth, and managing Alliance teams across global markets.
Summary Generated by Built In

SLSQ226R275

The Consulting & Systems Integrator (C&SI) team accelerates Databricks' growth by building and managing relationships with the leading data technology services companies.

In this role, as our Global Deloitte Lead, you will drive a high performing partnership focused on the strategic go-to market motions with Deloitte and manage the Databricks Deloitte Alliance team. You will lead this global partnership and implement a cohesive strategy to grow an iconic partnership focused on expanding mindshare, growing revenue, scaling Deloitte's Data & Analytics practice and driving joint innovation. 

You will report to the VP of Global Systems Integrators.

The impact you will have:

  • You will expand and develop a partnership focused on delivering predictable and recurring growth within a mutually defined plan
  • You will help accelerate Databricks' and the partner's adoption within new opportunities and use case expansion
  • You will develop a training strategy resulting in practice growth and knowledge expansion
  • You will secure investment and establish programs around repeatable IP and solution investments, resulting in essential go-to market plans
  • You will launch go to market events and mindshare activities that promote joint customer adoption and new logos
  • You will create and foster executive level relationships at all levels within the partnership
  • You will create a mutually structured plan; track important metrics that address needs of partners and key team members across sales, customer success, training, marketing and product.

What we look for:

  • 10+ years experience in securing and supporting partnerships at global scale
  • Track record of success managing a Global Team
  • In-depth understanding of alliance/partner organization, key stakeholders, overall strategy, company culture, market offering and joint value proposition.
  • Deep domain experience in enterprise infrastructure, cloud and analytics space
  • Global SI partner management experience spanning AMER, EMEA & APAC
  • Experience working and building unique channel relationships and complex contract negotiations
  • Experience working in a high growth, entrepreneurial organization that has seen scale from $500M-$2B

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.


Zone 1 Pay Range

$230,900$354,100 USD


Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.


Zone 2 Pay Range

$230,900$354,100 USD


Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.


Zone 3 Pay Range

$230,900$354,100 USD


Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.


Zone 4 Pay Range

$230,900$354,100 USD

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.

Top Skills

Analytics
Cloud
Data Technology
Enterprise Infrastructure
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The Company
New York, NY
2,200 Employees
On-site Workplace
Year Founded: 2013

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.

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