Sr Director, AI Strategy & Architecture

The Role

The Senior Director, AI Strategy & Architecture serves as the company's most senior internal AI technical advisor and strategist responsible for designing, building, and scaling AI-enabled capabilities across the organization. Reporting directly to the SVP of Information Systems, this high-visibility individual contributor role operates across the entire enterprise — spanning Engineering, Sales, Marketing, Operations, Finance, Legal, HR, and Customer Success — with the mandate to operate as the connective layer between business teams, cross-functional AI initiatives, and underlying technology platforms — ensuring that AI solutions are built correctly, scale effectively, and align with enterprise strategy driving measurable business value.

Success depends on the ability to translate business problems into functional AI solutions, move rapidly from concept to production, and build reusable capabilities that prevent duplication and accelerate adoption across BeyondTrust.

This role builds on an existing foundation of departmental AI momentum — you will work alongside leaders already running AI initiatives within their teams, serving as the connective layer that turns isolated efforts into an enterprise capability. This position carries executive sponsorship and the active support of the BeyondTrust AI Steering Committee, giving you the organizational credibility to move fast and drive alignment across business units.

This is an individual contributor role today — and a team-building opportunity as the practice matures. As AI adoption scales and budget follows, there is a clear path to building a dedicated team.

What You’ll Do

• Cross-Functional Architecture & Integration. Design and implement end-to-end AI workflows across teams (e.g., RevOps, Legal, Marketing, Security, Finance, Customer Success). Connect data platforms, AI models (e.g., Claude, ChatGPT, Copilot), and internal applications into integrated, production-grade solutions. Ensure all implementations are scalable, secure, and maintainable across global regions. Own and communicate an enterprise-wide AI opportunity roadmap aligned to business priorities.
• Drive implementation. Provide concrete, tailored guidance on AI tools, efficient and secure usage, vendors, and architectures — from LLM integration and prompt engineering to workflow automation, agentic systems, and intelligent data pipelines.
• Champion responsible AI adoption. Ensure all AI deployments align with the company's security posture, data governance standards, and multi-country regulatory requirements — leveraging deep cybersecurity context to address risk proactively before it reaches deployment.
• Build internal AI capability. Design and deliver enablement content — playbooks, workshops, executive briefings, and reference guides — that raise AI literacy and capability across the organization at all levels.
• Track Optimization and communicate value. Monitor and improve model usage efficiency, consumption patterns, and system performance across all AI implementations. Implement best practices including prompt optimization, caching strategies, and shared resource management. Define success metrics for AI initiatives, monitor adoption and outcomes across departments, and present ROI results and strategic recommendations to the SVP of Information Systems and executive leadership.