senior Operations Manager ic

About this role

Databricks is hiring a senior-level Operations Manager based in Brisbane, Australia | Melbourne, Australia | Sydney, Australia. The posting calls out experience with Spark, Databricks, MLflow, Salesforce.

Role
Operations Manager
Function
operations
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Brisbane, Australia | Melbourne, Australia | Sydney, Australia
Department
Professional Services Operations

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Job description

from Databricks careers

CSQ327R199

The Resource Manager is a strategic business partner for the Customer Success and Services organization, ensuring that our customers are matched with relevant talent and expertise to solve the world's toughest problems.

The primary responsibility of the Resource Manager is to manage resourcing for all potential and assigned projects. This position requires the individual to determine personnel requirements, provide ongoing support to project managers, and collaborate on resource management with multiple teams within our organization. The resource manager will be someone who can accurately assess resource needs and provide sufficient capacity to realize project goals.

The impact you will have:

  • Demonstrates a passion for the job and leads by example by putting Databricks and our customers first to achieve the delivery mission.
  • Ensure that resources are identified, assigned, prepared, and able to engage as planned to drive transparency of the resourcing workflow and status from pipeline to opportunity close and project start.
  • Ensure customers receive timely access to relevant talent and expertise to deliver their data and AI projects.
  • Drive resolution of delivery challenges, address resource contentions, and manage expectations.
  • Gain a deep understanding of our people, their unique skills, experience, and individual development plans.
  • Pro-active engagement of our preferred delivery partners ensures they can serve relevant resource requests.
  • This is an excerpt. Read the full job description on Databricks careers →
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