Senior AI Enablement Analyst
Confirmed live in the last 24 hours
Dragos
Job Description
Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We’re a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We’re looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world!
About the Role:
Our IT organization is seeking a Senior AI Enablement Analyst to accelerate safe, practical AI adoption across the business. In this role you'll work directly with teams across the company to identify high-value opportunities, map workflows, design solution approaches, and drive adoption through enablement, change management, and measurement. You'll act as the "front door" for corporate AI at Dragos, translating business needs into prioritized use cases, designing solutions, and collaborating with IT engineering counterparts for implementation and operation. This is not a traditional engineering role. It is a consultative position that blends AI expertise with business acumen, cross-functional partnership, and a passion for helping people work smarter. The ideal candidate brings enough technical depth to understand what AI can and can't do today, and enough strategic maturity to earn trust, drive change, and deliver measurable results across multiple business functions without direct authority.
Responsibilities:
- Identify and prioritize high‑value AI opportunities by analyzing workflows, defining measurable outcomes, and maintaining a ranked backlog of use cases.
- Lead discovery sessions with business teams to uncover both quick‑win automations and larger strategic AI initiatives.
- Design and prototype AI solutions—including copilots, workflow automations, and retrieval/search experiences—to validate value before engineering investment.
- Define requirements and success metrics, then hand off validated designs to IT engineering for implementation and ongoing operations.
- Drive companywide AI enablement and adoption through playbooks, training, office hours, and serving as the primary resource for day‑to‑day AI support.
- Ensure governance alignment by guiding teams through responsible‑use expectations, data‑handling requirements, and AI approval processes.
- Measure and communicate business impact through adoption metrics,
