Global Data Analytics GTM Programs Lead

DealHub Ltd

Boulder (CO)

On-site

USD 164,000 - 239,000

Full time

5 days ago
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Job summary

Google Cloud seeks a GTM Programs Lead for the Data Practice to architect commercial frameworks and incentive programs that accelerate database and data analytics migrations. You will bridge sales strategy, product engineering, finance, and operations to deliver scalable GTM programs.

You will shape go-to-market for enterprise customers, defend data workloads, and drive growth in a dynamic, multi-region environment with cross-functional collaboration.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 7 years of GTM strategy, program management, business development, consulting, or sales operations in tech/digital advertising/enterprise environments.
  • Experience designing/executing cross-functional GTM programs.
  • Experience working with clients or stakeholders.

Responsibilities

  • Drive end-to-end commercial strategy and execution for Data Practice's global program portfolio, focusing on databases, data analytics, and AI workloads.
  • Build incentive models and analyze landscapes to craft strategies for migrations.
  • Collaborate with sales operations, finance, product, and regional GTM leads to align programs; engage ecosystem partners.
  • Translate field friction into system requirements for backlogs with Product and Engineering teams.
  • Establish program-level performance frameworks to track pipeline, ROI, and GTM health.

Skills

Cross-functional collaboration
GTM strategy
Program management
Client/stakeholder management

Education

Bachelor's degree or equivalent practical experience

Job description

Google Cloud seeks a GTM Programs Lead for the Data Practice to architect commercial frameworks and incentive programs that accelerate database and data analytics migrations. You will bridge sales strategy, product engineering, finance, and operations to deliver scalable GTM programs.

You will shape go-to-market for enterprise customers, defend data workloads, and drive growth in a dynamic, multi-region environment with cross-functional collaboration.

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