Director, Enterprise AI Strategy

Adobe•New York, NY

About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Mission / Why This Role Matters: Transform Adobe’s global field organization into an “AI-first” operation. Own and complete the AI strategy for field teams — embed AI into how field sells, plans, forecasts, and engages customers. Drive sustainable, measurable business outcomes through AI adoption (e.g., increased win rates, efficiency, customer satisfaction).

Requirements

~10+ years in strategy, operations, or business transformation roles.
Deep knowledge of AI / ML (generative AI, predictive analytics, data science).
Proven experience leading large strategic programs across GTM / field / sales.
Strong change management and leadership capabilities.
Excellent communication, business insight, and collaborator management.

Responsibilities

Develop a long-term AI strategy for Adobe’s field org.
Align AI roadmap with business goals and field priorities.
Determine our build v buy strategy and areas of key investment.
Lead AI workstreams involving program managers, AI ambassadors, sales leadership, and developers.
Build and manage a field AI-ambassador network.
Coordinate with the AI@adobe leadership.
Work across business to acquire funding/staffing for key projects.
Redesign field operating models, playbooks, and processes to integrate AI at every level of go-to-market.
Define KPIs, establish dashboards, and track AI-powered performance impact.
Run training, workshops, innovation labs, and pilot programs.
Evangelize AI adoption and build a culture of AI fluency.
Implement frameworks and guardrails for responsible AI usage in field.
Partner with legal, trust & safety, and compliance teams.
Prioritize investments across AI initiatives.
Build arguments and secure funding for scaling pilots.
Present AI strategy, progress, risks, and return on investment to executive leadership.
Serve as the field's voice into product and engineering to drive AI roadmaps.