• We are looking for a Director of Business Technology & AI Enablement to lead Revizto’s internal IT, workplace technology, enterprise systems, SaaS governance, and AI-enabled business efficiency • This role is responsible for making our internal technology landscape reliable, scalable, secure, cost-effective, and easy to use • Lead the evolution of our IT and workplace operations, strengthen our approach to SaaS and vendor management, improve the employee technology experience, and help the company use AI and automation in a practical, governed, and commercially responsible way • Partner closely with leaders across multiple functions to ensure our systems and tools support the needs of the business today while preparing us for future scale • Lead and continuously improve Revizto’s IT and digital workplace function in a global, remote-first environment, ensuring best-in-class employee technology experience across the full employee lifecycle, from onboarding and device provisioning to access management, support, changes and offboarding • Own and improve core IT operations, including helpdesk/service desk structure, ticketing processes, device lifecycle management, endpoint management, access management, software provisioning, documentation, support SLAs, and internal service quality • Drive a strong internal customer-service mindset within the team, ensuring employees experience the function as helpful, proactive, business-oriented, and solution-focused • Manage workplace technology and core collaboration tools used broadly across the company, including our company-wide foundations such as Slack, Google Workspace, JumpCloud, Jira, Confluence, and other systems used to support employee productivity, collaboration, access, and knowledge sharing • Partner with Security to ensure identity, access, device management, software usage, and employee tooling follow appropriate security and compliance standards • Lead software rationalization efforts by identifying duplicate tools, underused licenses, unnecessary spend, poor adoption, fragmented workflows, and opportunities to consolidate, renegotiate, or improve usage • Help define clear ownership between business process owners and system owners

• Own the technical vision and strategy for AI across the Asteri platform • Define and evolve Asteri’s approach to LLM-based systems, including retrieval, agentic workflows, and evaluation • Establish standards for AI quality, reliability, safety, and performance in production • Partner closely with the VP of Engineering to ensure AI systems are delivered, operated, and scaled reliably • Lead the design, implementation, and continuous improvement of AI architectures and pipelines • Define evaluation frameworks and metrics to measure AI accuracy, usefulness, and business impact • Guide decisions around model selection, prompting, fine-tuning, routing, and cost-performance tradeoffs • Stay current with advances in applied AI and translate relevant research into practical product improvements • Hire, mentor, and lead AI engineers and applied researchers as the team grows • Support enterprise customer conversations around AI behavior, reliability, and system design when needed

• Conduct comprehensive risk assessments leveraging AI-powered agents • Review and validate AI-generated findings through expert analysis and interviews • Maintain SIXT's security risk register and deliver clear reporting • Track risk trends using dashboards and analytics • Partner with engineering and product teams for remediation plans • Provide continuous feedback on security AI tools

• Lead executive level workshops, discovery sessions, and strategic engagements to define AI driven business objectives and identify high value use cases. • Serve as a trusted advisor on AI, generative technologies, and emerging trends, providing thought leadership and strategic counsel. • Develop comprehensive AI roadmaps, maturity assessments, business cases, and strategic architectures aligned with Presidio capabilities. • Translate client needs into clear strategic requirements for downstream solutioning, delivery, and adoption. • Partner with Sales, Solution Architects, Engineering, and Delivery teams to ensure seamless transitions from strategy to implementation. • Contribute to internal methodologies, playbooks, frameworks, and best practices for AI strategy and innovation. • Guide clients on responsible AI principles, data readiness, and governance frameworks.