Head of SAP Data and AI Product Marketing

SAP•Bellevue, WA

47d•$360,700 - $613,200•Hybrid

About The Position

The Data and AI Product Marketing team at SAP defines how SAP Business Data Cloud and SAP AI Services are brought to market as a critical foundation of the Autonomous Enterprise. This role sits at the intersection of product innovation, customer value, commercial growth, and market influence, shaping how customers leverage trusted business data and AI agents to transform their enterprises. The Head of SAP Data and AI Product Marketing will define and execute the global AI-native marketing strategy for SAP Business Data Cloud and SAP AI services. This leader will shape the portfolio narrative through customer insight, competitive intelligence, market trends, and a deep understanding of the evolving enterprise AI landscape. This role ensures SAP’s differentiated Data and AI portfolio is positioned as the foundation for AI-ready business data and AI-driven processes. The individual will work across Product & Engineering, Global Marketing, Customer Success, Sales, Partner Ecosystem, and Corporate Communications to align market opportunity, product strategy, commercial priorities, and go-to-market execution. They will inspire, lead, and build a team of high-performing professionals responsible for delivering audience-centric, data-driven growth strategies and execution at scale. Success requires leading through influence in a highly matrixed environment, aligning diverse stakeholders, and positioning SAP as a market leader in enterprise data, AI platforms, and AI leading enterprise solutions.

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.

Nice To Haves

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.

Responsibilities

Assess and define market opportunity by identifying growth opportunities, customer needs, competitive dynamics, technology trends, and emerging AI use cases.
Partner closely with Product & Engineering leadership, Sales, and Customer Success to align product and AI innovation with market demand and commercial priorities.
Define market opportunity, total addressable market (TAM), audience segmentation, and strategic growth priorities.
Continuously assess customer adoption, competitive positioning, and ecosystem trends to inform strategic investments and category-creation opportunities.
Own the global value proposition, positioning, messaging, and narrative for the SAP Data and AI portfolio.
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, and industry commitments.
Partner with Global Marketing to evolve messaging architecture, category definition, flagship campaigns, and strategic AI market moments.
Partner with Global Marketing to activate integrated campaigns and customer engagement programs aligned with business objectives and go-to-market priorities.
Architect a global demand generation strategy that integrates field marketing, digital, ABM, partner marketing, and ecosystem programs.
Partner with Sales Strategy, Sales Operations, and regional leadership to design quarterly GTM motions, pipeline initiatives, and AI-driven sales plays.
Serve as a senior spokesperson for SAP Data and AI across analyst relations, media engagement, customer events, executive briefings, and industry forums.
Strengthen developer, technical practitioner, and business decision-maker engagement through audience-specific marketing strategies, community programs, and enablement.
Establish rigorous performance measurement across funnel stages and continuously optimize programs using advanced analytics and AI-powered experimentation.
Influence portfolio direction through customer insight, market intelligence, adoption trends, competitive analysis, and commercial performance.
Partner with Product & Engineering leadership to align roadmap priorities with customer needs and market opportunities.
Shape packaging, commercialization, pricing, ecosystem partnerships, and cross-portfolio growth strategies.
Ensure product marketing insights and AI market signals directly influence investment decisions and long-term portfolio strategy.
Own analyst relations strategy with the AR global team, aligning roadmap and narrative to leadership in key waves and quadrants.
Anticipate and respond to industry trends across AI, data governance, privacy, AI safety and ethics, data modernization, and cloud transformation.
Guide creation of thought leadership content that reinforces SAP’s Data and AI portfolio as the trusted data foundation for AI-ready, autonomous enterprises.
Lead and develop a global, high-performing team of product marketers.
Champion a data-driven, AI-augmented marketing culture, leveraging AI, experimentation, and analytics.
Foster a customer-first, audience-centric culture grounded in market insight, innovation, and measurable business impact.
Build strong partnerships across Product, Engineering, Global Marketing, Sales, Customer Success, Developer Relations, and Partner Ecosystem organizations.
Serve as a trusted advisor to executive leadership, influencing strategic priorities, organizational investments, and business decisions related to data and AI.
Develop future marketing leaders while building organizational capabilities that support SAP’s long-term AI growth ambitions and transformation agenda.