AI Transformation Director

Intapp•Palo Alto, CA

About The Position

The AI Transformation Director, Marketing, sets and drives marketing’s AI adoption strategy, identifies where AI can create the most value, and ensures promising ideas become adopted solutions. This is a strategy-and-delivery role involving investment prioritization, selection of internal and external partners, and hands-on oversight of execution to ensure solutions address the underlying problems and are adopted. The role operates within the firm’s AI governance model and aims to make each deployment improve the speed and ease of future initiatives. It owns marketing’s AI roadmap and budget, guides projects through delivery, and builds repeatable approaches for scaling successful solutions.

Requirements

10 or more years of experience in digital, product, strategy, or workflow transformation roles within a complex technology or professional services organization.
A proven track record of redesigning how teams work and driving measurable business outcomes.
Active engagement with AI tools and the vendor landscape, including the ability to assess emerging developments and their application to marketing.
Experience working directly with senior stakeholders and the executive presence to translate ambiguous or complex problems into clear, credible recommendations.
Ability to build structure and a path forward in fast-moving, ambiguous environments, with sound judgment about risk and prioritization.
Demonstrated experience translating AI capabilities into deployed, adopted solutions that measurably changed how a team or function operated.
Comfort working within a structured governance model while balancing speed with enterprise-scale discipline.

Responsibilities

Partner with marketing teams to understand workflows and pain points, and scope and prioritize high-value AI use cases.
Act as a de facto product manager by writing requirements, designing flows and process maps, and producing specifications for internal teams and external vendors.
Guide initiatives through intake, build, testing, and rollout while meeting the firm’s AI governance requirements.
Evaluate external vendors and products, and own build, buy, or partner recommendations and decisions within marketing’s AI budget.
Promote testing and learning by piloting and experimenting before full launches.
Turn successful initiatives into repeatable templates and a marketing scaling approach covering ownership, change management, and adoption.
Own marketing’s AI roadmap, budget planning and management, and governance reporting to leadership, supported by business cases and ROI models for major investments.
Track emerging AI capabilities and vendor developments to keep marketing’s AI strategy current.
Keep marketing AI initiatives aligned with AI Council governance standards and partner with marketing analytics to validate solutions before scaling.
Identify and escalate data governance concerns, including access permissions and conflicting data sources, before they become production problems.