Practice Architect, Agentic Data Cloud

Google•Kirkland, WA

20h•$224,000 - $311,000

About The Position

As a Practice Architect within Google Cloud, you will provide thought leadership and operational direction for the Data Analytics, Databases, and Knowledge Catalog go-to-market motion. You will define global strategy and planning and lead execution in partnership with sales, customer engineering, and Forward Deployed Engineering leaders. The work includes setting strategic priorities, industry and platform-led business plays, orchestration models, propensity modeling, field activation, offers and incentives, business-value thought leadership, and partner and ecosystem execution to support growth goals. You will work across contributing teams and regional and global stakeholder organizations to design, implement, and refine the strategy. The role calls for strong leadership, executive presence, strategic thinking, and a bias for execution. You will partner with cross-functional stakeholders to develop and iterate on plans, engage directly with customers to explain Google Cloud offerings, and gather feedback to adapt as customer needs change. Google Cloud provides enterprise-grade solutions and tools to customers in more than 200 countries and territories.

Requirements

Bachelor’s degree or equivalent practical experience.
15 years of experience in go-to-market 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.

Nice To Haves

Master’s degree in Business, Statistics, Mathematics, Economics, Engineering, 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.

Responsibilities

Define and influence annual and quarterly GTM strategy and planning for Agentic Data Cloud, including 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 Product, Sales, Customer Engineering, Forward Deployed Engineers, Marketing, and partners, from pipeline generation through consumption.
Architect industry- and platform-led business plays, propensity-targeting models, commercial offers, and business-value frameworks to help field teams 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 address adoption gaps.
Run the global operating cadence for the portfolio, tracking pipeline velocity, win rates, play adoption, and consumption trends.