Responsibilities

• Shape how SAP wins in the enterprise Data and AI market by identifying growth opportunities, customer needs, competitive dynamics, technology trends, and emerging AI use cases with key personas (C-suite, IT, data leaders, developers, and line-of-business executives).
• Partner closely with Product & Engineering leadership, Sales, and Customer Success to align product and AI innovation with market demand and commercial priorities, including AI agents embedded in SAP applications and business workflows.
• Define market opportunity, total addressable market (TAM), audience segmentation, and strategic growth priorities across industries, geographies, and buying centers.
• Continuously assess customer adoption, competitive positioning, and ecosystem trends (hyperscalers, ISVs, AI partners) to inform strategic investments and category-creation opportunities.
• Own the global value proposition, positioning, messaging, and narrative for the SAP Data and AI portfolio, including SAP Business Data Cloud and SAP AI Services.
• Develop differentiated messaging that demonstrates how SAP uniquely combines trusted business data, enterprise applications, and AI agents to deliver measurable business outcomes.
• Ensure messaging supports the full customer lifecycle, from awareness and pipeline generation through adoption, expansion, and customer success.
• Lead product launches, AI innovations, strategic announcements, and market milestones in partnership with Global Marketing and Communications.
• Ensure consistent articulation of customer value across marketing, sales, analysts, partners, developers, and executive communications; serve as primary spokesperson for flagship events, analyst and customer engagements.
• Partner with Global Marketing to evolve messaging architecture, category definition for business data cloud and autonomous enterprise, flagship campaigns, and strategic AI market moments.

Requirements

• 15+ years of progressive B2B enterprise marketing leadership experience, including significant time in data platforms, analytics, integration, enterprise applications, and AI platform categories.
• Proven executive leadership and success leading global marketing organizations and building integrated demand engines that deliver measurable pipeline, ACV, and revenue growth at scale.
• Deep understanding of AI-first and modern data architectures, AI readiness requirements, and enterprise data governance. Demonstrated ability to craft and evangelize complex technical narratives in accessible, business-outcome language for C-suite and board audiences.
• Demonstrated success defining and executing global marketing strategies for complex technology portfolios undergoing rapid innovation (cloud, data platforms, and now gen AI).
• Strong executive presence, with a track record of influencing cross-functional leadership and operating in highly matrixed, global organizations; driving alignment across Product, Engineering, Sales, Customer Success, and Marketing. Exceptional communication, storytelling, and stakeholder management skills.
• Deep expertise in positioning, messaging, portfolio strategy, integrated go-to-market execution, and audience-centric marketing; aligning product and marketing strategy with GTM.
• Strong understanding of enterprise AI, cloud platforms, data management, analytics, developer ecosystems, AI agents, and enterprise buying centers. Passion for enabling enterprises to build trusted, AI-ready data foundations and use data to fuel customer-centric growth.
• Experience engaging with analysts, media, customers, partners, developers, and C-level executives.
• Proven ability to build, inspire, and develop high-performing global teams through transformation and rapid market evolution.

Preferred

• Experience marketing enterprise AI platforms, cloud data platforms, analytics solutions, or business technology platforms at significant scale.
• Strong understanding of generative AI, RAG-based architectures, AI agents, multimodal AI, data management, machine learning, and enterprise application ecosystems, with the ability to translate these into differentiated value propositions and GTM plays.
• Experience developing both technical and business buyer marketing strategies, including developers, IT leaders, data professionals, and business executives.
• Familiarity with partner-led, ecosystem-driven, and cloud marketplace and co-innovation growth strategies.
• Experience leading product marketing for rapidly evolving technology categories with significant innovation velocity.
• Track record of public speaking at major industry conferences and strong relationships with key customers and partners in the data and AI space.

Benefits

• great benefits