Head of AI Strategy – Operations

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November 20

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Unanet

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SaaS • Enterprise • Government

Unanet is a provider of ERP and CRM solutions specifically designed for project-driven companies in sectors such as government contracting, architecture, engineering, and construction. Their comprehensive platform unifies projects, people, and financials and is intended to boost efficiency, drive growth, and enable smarter decision-making for their clients. Unanet focuses on delivering real-time insights, resource optimization, and maintaining compliance across industries, empowering teams to work smarter. Their platform is trusted by over 4000 institutions and aims to replace disparate systems with a connected, streamlined interface.

201 - 500 employees

☁️ SaaS

🏢 Enterprise

🏛️ Government

💰 Private Equity Round on 2022-12

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• employee equity • discretionary bonus compensation • eligible to participate in Unanet’s employee benefits plans and programs