Senior Manager, Enterprise AI Strategy

The Opportunity The AI for Sales team partners with Adobe’s senior leadership globally to define the Enterprise AI Strategy for improved market success and customer impact, while also leading the transformation from pilots to a sustainable AI operating model. The team remit spans strategy and north-star definition, scaled global rollout of AI initiatives, and change management — partnering across Sales, Marketing, Product, Professional Services, and Sales Operations. As Senior Manager, Enterprise AI Strategy, you will architect how Adobe’s global sales organization becomes AI-native — the strategy, the tooling infrastructure, the field capability, and the culture shift. Strong candidates will have a proven track-record of leading AI strategy and delivering transformations from conceptualizing/ architecting to delivering impact at scale. What You’ll Do AI Strategy & Execution End-to-end AI for Sales vision : use-case prioritization across the full sales lifecycle, evolution from point tools to AI-embedded seller workflows, and the roadmap from pilots to enterprise scale Cross-functional partnership : collaborate with Sales, Marketing, Operations, Enablement, Product, Legal and IT — resolving cross-team dependencies and keeping momentum on key initiatives and priorities Value measurement: define and track program indicators across AI proficiency, adoption velocity, workflow impact, and seller efficiency; build the measurement infrastructure behind them to demonstrate value j Competitive intelligence: monitor the external AI landscape — competitive deployments, emerging vendor capabilities, and agentic framework developments — and bring a forward-looking point of view to senior leadership before the market moves Executive alignment: own executive storytelling for All Hands, QBRs, and CRO forums; maintain alignment with Adobe-wide AI initiatives and external AI partner roadmaps. AI Lifecycle and Governance Tooling landscape and architecture: Define current vs future-state architecture and tool landscape, including how AI solutions are surfaced in specific workflows, and how data/ agentic layers are orchestrated in the back-end AI portfolio evaluation: Lead strategic AI portfolio decisions including intake, prioritization, build-vs-buy evaluation, and deprecation for internal and third-party AI tools; run structured evaluations with defined success criteria AI governance protocols: Operationalize AI governance standards across data usage, model risk, vendor selection, and responsible AI; partner with Legal, Security, and IT on approvals and compliance for build vs maintenance phase Change Management & Field Capability Building Ongoing field engagement: Define and implement the E2E change management and communications strategy, spanning top-down and bottom-up approaches to engage the field AI evangelism: Lead the AI Ambassador Program to build grassroots momentum, drive adoption, and surface field-led guidelines back into the core program AI learning & fluency: design and roll out Adobe’s AI proficiency program for Enterprise Sales globally, including role-based learning journeys and execution plan, in partnership with Sales Enablement Program & Team Development Scale the AI for Sales program by continuously refining methodologies. Build repeatable playbooks and raise the standard for how the Sales Experience and Efficiency team works with AI and sales. Team building: Onboard and support colleagues joining the AI for Sales team, playing a key connector role for the team and cross-functional collaborators What You’ll Bring 5 years in management consulting, enterprise strategy at a top SaaS or AI-native company, or AI/digital transformation leadership, with direct experience leading AI strategy and delivery Proven track record of driving AI or digital transformation programs, with measurable behavior change in large, distributed organizations Hands-on AI fluency: working knowledge of LLMs, RAG pipelines, and ag ... (truncated, view full listing at source)