Practice Architect, Agentic Data Cloud
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 27, 2026. Google scores B on the Alion truth index.
About the job
As a Practice Architect, within Google Cloud, you will bring your experience and thought leadership and operational mindset to help drive outlook, mission, and strategy for the Data Analytics, Databases, Knowledge Catalog Go-To-Market (GTM) motion. Your goal is to define the overall strategy and planning globally for this business, as well as lead execution of the GTM motion, in partnership with sales, customer engineering and FDE leaders. This will span defining our strategic bets, industry and platform-led business plays, orchestration model, propensity modeling, field activation, offers and incentives, business value thought leadership, partner and ecosystem execution, in order to reach our growth goals. You will function at the core of numerous contributing teams, and GTM stakeholder organizations, regionally and globally, to facilitate the successful design, implementation and refinement of the overall strategy.
As a member of this team, you will showcase strong leadership capabilities, executive presence, strategic thinking and a bias for execution, in designing and orchestrating the right model for Google Cloud’s objectives and the current market landscape. You will partner with key cross-functional stakeholders to develop and iterate on the plan. You will interface directly with customers, both helping them to understand Google Cloud’s offerings and gathering their feedback in order to adapt as needs change.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $224000 - $311000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Define and influence annual and quarterly GTM strategy and planning for Agentic Data Cloud, shaping organization design, talent and capacity models, account segmentation, commercial incentives, and strategic field priorities.
- Define, design, build, and execute a unified, full-funnel business motion with cross-functional teams that threads Product, Sales, Customer Engineering, Forward Deployed Engineers, Marketing, and the partner ecosystem from pipeline generation through consumption.
- Architect industry and platform-led business plays, propensity targeting models, commercial offers, and business value frameworks that equip field teams to win competitive workloads and attach data to AI.
- Engage directly with enterprise executives on strategic agreements and synthesize customer and field feedback with Product and Engineering leadership to shape the product roadmap and close adoption gaps.
- Run the global operating cadence for your portfolio tracking pipeline velocity, win rates, play adoption, and consumption trends.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 15 years of experience in go-to-market (GTM) strategy, business planning, product management, or technical leadership across enterprise cloud, data, or AI software.
- Experience designing and scaling global, full-funnel GTM motions across sales, product, field engineers, forward deployed engineers, marketing, or partners.
- Experience advising C-suite executives and aligning senior leaders across a matrixed organization.
Preferred qualifications:
- Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
- Experience shaping annual and multi-year GTM operating models, including organization design, capacity and territory planning, account segmentation, and commercial incentive structures.
- Experience applying quantitative analysis, propensity modeling, and pipeline telemetry to diagnose business performance and guide executive resource allocation.
- Expertise across the enterprise data and AI stack, including cloud data warehouses, lakehouses, operational databases, data governance and catalogs, and agentic AI.
- Ability to craft compelling executive narratives, commercial value frameworks, and category positioning that win mindshare with enterprise buyers and field teams.