Partner Data Operations Manager: Incentives & AI Insights

Google

Austin (TX)

On-site

USD 111,000 - 159,000

Full time

14 days+
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Job summary

Google Cloud seeks a Partner Data Operations Manager to bridge strategy and execution for partner incentives. You will translate complex requirements into standardized workflows and build data processes with metrics to track performance and business impact.

Collaborate with technical and strategic stakeholders to optimize timelines and develop data artifacts for internal and external audiences, ensuring timely incentive execution across the organization.

Qualifications

  • Bachelor’s degree in Business, Finance, Engineering, or equivalent practical experience.
  • 3 years of experience in partner operations, business operations, program management, or commercial governance within a technology environment.

Responsibilities

  • Partner with business stakeholders to capture and translate strategic requirements for new partner incentives into executable operational plans.
  • Design and build robust data infrastructure and processes that track incentive performance and business impact.
  • Address issues and close gaps to ensure all necessary systems, processes, and documentation are in place to support seamless incentive operations from intake through to closure.
  • Use AI and custom tools to transform complex datasets into actionable insights for a variety of users from support to executives, maintaining a high level of accuracy and attention to detail.
  • Deliver operational performance by ensuring all incentive-related escalations are triaged, investigated, and resolved appropriately.

Education

Bachelor’s degree in Business, Finance, Engineering, or equivalent practical experience

Job description

Google Cloud seeks a Partner Data Operations Manager to bridge strategy and execution for partner incentives. You will translate complex requirements into standardized workflows and build data processes with metrics to track performance and business impact.

Collaborate with technical and strategic stakeholders to optimize timelines and develop data artifacts for internal and external audiences, ensuring timely incentive execution across the organization.

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