Head of AI Strategy & Operations, Unanet

• The ideal candidate balances business strategy and technical architecture, driving measurable outcomes, cultural adoption, and responsible AI enablement across every function
• 10+ years of progressive experience in enterprise technology strategy and enablement, with demonstrable leadership in digital transformation
• Previous experience in a high-growth B2B SaaS environment required
• Proven success in scaling AI or automation initiatives that delivered measurable impact across multiple business functions
• Demonstrated ability to bridge technical and business leadership, translating complex AI and data concepts for executive audiences
• Strong grasp of AI/ML concepts, data engineering, and workflow orchestration, including hands-on familiarity with LLMs and integration frameworks
• Experience with AI governance, risk management, and security standards
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related

Desirable

• Unanet is seeking a visionary Head of AI Strategy & Operations to lead enterprise-wide transformation through Artificial Intelligence
• Reporting directly to our Chief Executive Officer, this leader will serve as both the strategic catalyst and technical orchestrator for how AI can reimagine our business - from product development to customer engagement to operational efficiency
• This role combines strategic foresight with deep technical understanding
• Our Head of AI Strategy will design and scale Unanet’s AI “nervous system” - a connected fabric of intelligent agents, data systems, and workflows that unify how information, insights, and decisions flow across the organization
• Serve as Unanet’s AI thought leader and ambassador, championing the responsible, ethical, and secure use of AI to enhance operational efficiency, decision-making, and customer value
• Define and execute a comprehensive and holistic AI strategy and roadmap, aligning with Unanet’s corporate objectives and product innovation goals
• Architect the AI operating fabric of the enterprise: a connected system of tools, data pipelines, and intelligent workflows that enable real-time collaboration, automation, and analytics across departments
• Build a unified AI governance and risk management framework
• Partner with executive leadership across Product, Engineering, Customer Experience, Sales, Finance, HR, and Operations to identify, prioritize, and scale high-impact AI use cases
• Lead the establishment of an AI Center of Excellence (COE) – a hub connecting AI Enablement Leads, data teams, and functional innovators to share best practices, drive experimentation, and maintain governance
• Develop and enforce AI integration and data interoperability standards to ensure seamless data flow, reduced redundancy, and consistent API and identity management across systems
• Collaborate with the CISO and CTO to ensure all AI systems adhere to enterprise security policies, privacy standards, and compliance frameworks (e.g., SOC2)
• Oversee the design, experimentation, and scaling of AI solutions - from pilot programs to enterprise deployment - measuring tangible outcomes in productivity, quality, and time-to-value
• Manage the AI vendor and platform ecosystem, including evaluation and integration of LLM platforms and orchestration layers
• Oversee enterprise AI tool orchestration, including inventorying all AI and automation tools, ensuring interoperability, security review, and ROI tracking
• Lead AI literacy and enablement programs, including internal workshops, cross-functional playbooks, and secure AI development training
• Operationalize AI ethics, transparency, and explainability by embedding governance checkpoints throughout the AI lifecycle from experimentation to deployment
• Develop and maintain an AI risk register and incident response protocols in coordination with our Security and Legal teams
• Monitor AI systems for drift, misuse, and data integrity
• Provide executive- and board-level visibility into AI adoption, risk management, and performance metrics through structured dashboards and reporting frameworks
• Stay ahead of the rapidly evolving AI landscape—tracking emerging technologies, frameworks, and partnerships that could accelerate Unanet’s innovation
• Represent Unanet externally as an AI thought leader, participating in industry panels, consortiums, and partnerships to position the company as a leader in responsible, scalable AI adoption
• Foster a culture of continuous learning and experimentation, where teams are empowered to leverage AI safely and effectively in pursuit of business outcomes
• What Success Looks Like:
• Unanet’s business operations are powered by an integrated AI ecosystem - secure, interoperable, and data-driven
• AI adoption is measurable and accelerating, improving ARR/FTE, operational efficiency, and time-to-value (TTV)
• Teams across all functions are AI-literate and empowered, equipped with tools, playbooks, and training that embed AI into daily workflows
• Unanet is recognized as an industry leader in responsible and innovative AI enablement, with a mature governance and risk management posture