Director, Enterprise AI Operations

Responsibilities

• Execute and operationalize Forbes’s internal AI roadmap in partnership with executive leadership.
• Drive implementation of a focused set of high-impact AI initiatives that materially improve workflows and business outcomes.
• Translate strategic priorities into scalable operational programs, processes, and execution plans.
• Ensure AI capabilities are embedded into existing workflows and systems rather than operating as parallel or optional tools.
• Partner closely with Product and Engineering teams to support the successful deployment and integration of AI capabilities across the organization.

Cross-Functional Enablement & Change Management

• Lead enterprise-wide AI adoption efforts across Editorial, Audience Development, Consumer Revenue, Advertising, and corporate functions.
• Build and scale repeatable enablement systems, training programs, and operational playbooks that drive sustained behavioral change.
• Own change management processes end-to-end, proactively identifying resistance points, gathering feedback, and partnering with department leaders to improve adoption.
• Build and manage an internal AI community of practice to share knowledge, best practices, and workflow innovations across teams.
• Partner with HR and organizational leadership to support workforce readiness and AI literacy initiatives.

Governance & Operational Discipline

• Support AI governance efforts in partnership with Product, Legal, Editorial Standards, Security, and Privacy teams.
• Help establish operational standards and processes for responsible AI usage, including sourcing, attribution, disclosure, and approved use cases.
• Assist in rationalizing Forbes’s AI tooling ecosystem by evaluating usage, overlap, adoption, and business value.
• Partner with leadership on vendor evaluations, implementation planning, and operational rollout of AI tools and platforms.
• Monitor operational and reputational risks associated with AI adoption and escalate concerns proactively.

Measurement & Business Impact

• Build and maintain operational reporting frameworks and dashboards that track AI adoption, workflow efficiency, time savings, output quality, and business impact.
• Define and measure success based on organizational adoption and measurable operational outcomes.
• Partner with leadership to assess ROI and effectiveness of AI initiatives across teams and workflows.
• Support budget and vendor management processes with a focus on operational efficiency and measurable value creation.

Communication & Leadership

• Communicate clearly and effectively with senior leadership and cross-functional stakeholders regarding initiative progress, adoption metrics, operational challenges, and business impact.
• Serve as the operational lead for enterprise AI transformation initiatives across the company.
• Lead and develop a high-performing team focused on execution, enablement, and operational excellence.
• Foster strong cross-functional alignment while maintaining focus on organizational outcomes and execution discipline.