Sr Director, AI Strategy & Architecture

BeyondTrust

About The Position

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.

Requirements

10–15 years of experience in technology, engineering, or architecture roles with meaningful AI/ML build exposure in the last 3–4 years
Deep working knowledge of the modern AI tooling landscape: LLMs, agentic frameworks, RPA, vector databases, and no-code/low-code automation platforms
Working knowledge of cybersecurity principles sufficient to build credibility with security-native audiences and identify data risk in AI deployments
Exceptional executive communication skills — able to translate technical AI concepts for a CFO and build a credible business case for an engineering leader
Proven ability to drive enterprise change through influence, not authority, across complex multi-stakeholder environments
Experience operating in multi-country organizations with diverse regulatory, cultural, and compliance contexts
Track record of quantifying and communicating business value from technology initiatives
Formal or informal experience in change management, organizational learning, or internal consulting

Nice To Haves

Background in SaaS, cybersecurity, or enterprise software organizations above $500M in revenue
Experience building or advising AI Centers of Excellence or internal innovation programs
Published thought leadership or conference speaking in enterprise AI, automation, or digital transformation

Responsibilities

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.
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.
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.
Design and deliver enablement content — playbooks, workshops, executive briefings, and reference guides — that raise AI literacy and capability across the organization at all levels.
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.
Establish and lead communities of practice where teams share wins, lessons learned, and reusable AI assets — preventing duplicated effort and accelerating adoption across global regions.
Design and deliver structured training programs — workshops, onboarding modules, and role-specific enablement sessions — that build practical AI fluency across BeyondTrust. Partner with HR and departmental leaders to ensure training is embedded into workflows, not treated as a one-time event.
Monitor the evolving AI vendor and tooling landscape, represent the company at industry events, and bring emerging best practices and capabilities inward before competitors capitalize on them.
Build senior-level relationships across business units to shape priorities and investment decisions. This position carries executive sponsorship and operates with the backing of the AI Steering Committee — giving you the organizational credibility to drive alignment, not just advocate for it.