AI Business Architect (People & Operations)

Company: Guidewire Software, Inc.

Location: Remote (Remote)

Salary: $248,000 - $372,000 a year

Type: Full-time

Level: Senior

Remote: Yes

Posted: 2026-02-20

About this role

United States - Remote

People Team/Full time/Remote

We are seeking a visionary leader to design and drive our enterprise transformation initiatives focused on building competency in AI across all aspects of our work. In this senior role, you will initially focus on reshaping processes, operating models, and workforce capabilities within the Operations and People team.
Acting as the AI business architect for the PERA organization, you will lead by example—creating a successful "blueprint" for AI adoption in internal functions that will eventually scale enterprise-wide. A critical immediate priority will be developing the AI strategy for the PERA team readiness transformation.

Job Description

Responsibilities:

1. Strategy & Readiness Transformation

AI Readiness Strategy: Develop the specific AI strategy for the readiness transformation, by shifting enablement content creation from manual development to an AI-first model. You will define how AI is used to generate, curate, and maintain high-value enablement materials.

AI-Driven Knowledge Management: Design and implement the strategy for how content is managed and retrieved, moving away from static repositories to dynamic, AI-enabled knowledge bases that serve the right content at the right time.

2. Operations & People Team Enablement

Operating Model Design: Design an "Agentic Automation Operating Model" and maturity assessment framework that can be tested within Operations and People teams before broader rollout.

Strategic Governance: Design governance frameworks that enable structured collaboration between business stakeholders and technology teams, ensuring initiatives deliver sustained adoption rather than isolated deployments.

Workforce Capability Building: Design and lead capability-building programs that enable HR and Ops teams to design and run their own AI-assisted processes.

Experiential Learning: Address skills gaps through practical, on-the-job experience with new AI content tools rather th...

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