GTM Commercial Programs Lead, Data Practice, Google Cloud

Google; Chicago (IL); On-site; USD 164,000 - 239,000; Full time

Job summary

Google Cloud seeks a GTM Commercial Programs Lead for the Data Practice to architect and scale commercial frameworks and incentive programs that drive database and data analytics migrations. You will sit at the intersection of sales strategy, product engineering, finance, and operations, designing scalable GTM programs to help enterprises modernize databases and analytics workloads.

Collaborating across regions and functions, you’ll drive adoption of cloud data solutions while shaping programs

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in GTM strategy, program management, business development, management consulting, or sales operations in technology or related industries.
• Experience designing, executing, and managing cross-functional GTM programs from inception to execution.
• Experience working with clients or stakeholders.

Responsibilities

• Drive the end-to-end commercial strategy and execution for the Data Practice’s global program portfolio, prioritizing databases, data analytics, and AI workloads.
• Build comprehensive incentive models and analyze competitor landscapes to craft strategic commercial counter-strategies for migrations.
• Collaborate with sales operations, finance, product, and regional GTM leads to align programs and engage partners as multipliers.
• Translate field friction into structured system requirements for backlog items with Product and Engineering teams.
• Establish robust program-level performance frameworks to track pipeline, ROI, and GTM health.

Skills

GTM strategy

Program management

Business development

Management consulting

Sales operations

Education

Bachelor's degree or equivalent practical experience

Job description

GTM Commercial Programs Lead, Data Practice, Google Cloud

Austin, TX, USA; Atlanta, GA, USA; +2 more

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in go-to-market (GTM) strategy, program management, business development, management consulting, or sales operations in the technology industry, digital advertising, or corporate enterprise environment.
• Experience designing, executing, and managing cross-functional programs or go-to-market (GTM) initiatives from inception to execution.
• Experience working with clients or stakeholders.

Preferred qualifications

• MBA or Advanced degree in business, finance, or a related field.
• Experience supporting cloud databases, data warehousing, or data analytics software portfolios (e.g., BigQuery, Cloud SQL, AlloyDB, Snowflake, Databricks, Oracle, or SQL Server).
• Experience designing, executing, or managing cloud commercial frameworks, consumption-based incentives, or migration funding programs (e.g., committed usage discounts or subscription-like savings plans).
• Deep understanding of the enterprise migration lifecycle, including data assessment, schema conversion, and transition models.
• Exceptional collaboration and stakeholder management skills with the ability to influence cross-functional, matrixed teams across Product Management, Finance, Legal, and Sales.

About the job

Google Cloud helps millions of organizations empower their employees, serve their customers, and build what's next for their business. Our products are engineered for security, reliability, and scalability, running from infrastructure to applications, devices and hardware, and with a fully integrated AI stack. Our teams are dedicated to helping our customers and partners see the benefits of our technology come to life.

The GTM Programs team for Google Cloud delivers an integrated portfolio of commercial programs that drive profitable customer acquisition and growth. It sits within Global Practice GTM, a central organization that owns the development and activation of go-to-market plans across all product areas for Google Cloud. GTM Programs is a team of builders who are able to create new programs, offers, and engines to drive business impact at a global scale.

As the GTM Programs Lead for the Data Practice, you will be the strategic architect behind the commercial frameworks and incentive programs that drive Google Cloud's database and data analytics migrations. Sit at the intersection of sales strategy, product engineering, finance, and operations, you will design and execute scalable GTM programs that help enterprise customers modernize databases, migrate legacy data warehouses, and adopt cutting-edge cloud data and AI platforms.

In this role, you will play a pivotal part in accelerating business growth, defending key data workloads from dynamic market competition, and transforming how customers commit to and consume Google Cloud's data ecosystem.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Compensation

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $164000 - $239000 (USD) + 20% bonus target + equity + benefits

Responsibilities

• Drive the end-to-end commercial strategy and execution for the Data Practice’s global program portfolio, prioritizing databases, data analytics, and AI-attached data workloads.
• Build comprehensive incentive models and analyze competitor landscapes to craft strategic commercial counter-strategies that defend and accelerate enterprise migrations.
• Collaborate closely with sales operations, finance, product, and regional GTM leads to aligning commercial programs, and engage ecosystem partners as team multipliers for migrations.
• Gather regional feedback on manual bottlenecks and translate field friction into structured system requirements for system feature backlogs with Product and Engineering teams.
• Establish robust, program-level performance frameworks to track leading indicators (e.g., pipeline generation), lagging metrics (e.g., Won Return on Investment (ROI)), operational efficiency, and overall GTM health.