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Databricks

Builds cloud software for data analysis and AI

Delivery Partner Manager - Forward Deployed Engineering

Business OperationsPosted on Nov 9
Full-timeIn-person

About the Job

Requirements

  • Extensive industry experience, including resource management and demand pipeline management, with a record of success navigating and driving engagements with large enterprise organizations focused on Forward Deployed Engineering.
  • Extensive experience within a Forward Deployed Engineering or consulting organization as a partner manager and/or consulting manager.
  • Experience managing partner or third-party organization enablement, including upskilling teams to provide delivery capabilities.
  • Ability to work directly with partners and customers to gather, prioritize, plan, and execute solutions to customer business requirements as they relate to technology.
  • Experience managing commercial agreements with partners, including statements of work to support services management.

Responsibilities

  • Work with the Forward Deployed Engineering team to use Databricks delivery partners to accelerate customer project outcomes.
  • Build and develop Forward Deployed Engineering relationships with Global System Integrators, Regional System Integrators, and regional partner teams to support bidirectional pipeline reviews and engagements, including subcontracting and advisory work for company priorities.
  • Spearhead efforts to incubate and ramp new partners with generative AI capabilities.
  • Drive monthly and quarterly business reviews with priority partners, develop long-term roadmaps for professional services partner delivery priorities, and develop scorecards and feedback loops to segment partners by focus areas, regions, and company priorities.
  • Drive delivery governance to ensure partner quality and delivery on services-led and partner-supported implementations, and support global programs measuring partner quality, including customer satisfaction surveys, partner surveys, and program governance.
  • Lead programs aligning with Forward Deployed Engineering and partner strategy for assurance and advisory services; work with cross-functional channel teams to enable Global System Integrators, Regional System Integrators, and System Integrators on assurance services, and support biweekly reviews and deal governance.
  • Support partner intellectual property efforts, such as creating service delivery kits to scale the ecosystem.
  • Liaise with delivery partner organizations to ensure personnel have the required training and certification to deliver Databricks projects according to best practices; champion specialization programs and implement and lead programs to achieve requirements and exceed delivery quality.
  • Build and maintain an effective onboarding process for partner resources to ensure effective utilization and quality of services across Databricks customer deliveries.
  • Work with the Databricks resource management team to oversee pipeline planning with each delivery partner and ensure timely partner resource availability for Databricks services opportunities.
  • Allocate and outsource projects to services partners, select the appropriate partner for each project, and work closely with that partner to ensure project success.
  • Work with legal, people operations, and other cross-functional organizations to support bidirectional contractual negotiations.
  • Advocate internally for partner needs and manage escalations and issues on partner-delivered projects.
  • Develop, implement, and monitor key performance indicators for each services partner.
  • Coach and mentor junior team members and partner resources.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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