Strategic Engagement Manager for Elsevier AI Solutions enhancing adoption among national governments and research institutions. Collaborating with Account Managers to drive AI solution sales and customer relationships.
Responsibilities
Proactively cultivate adoption of Elsevier AI solutions at national and consortia level “control points” over long-term sustained engagements
Develop large-scale, strategic A&G deals on behalf of Elsevier’s full AI portfolio, including LeapSpace, ReaxysAI, ScopusAI, Engineering AI, and upcoming AI workflow solutions.
Partner with Account Managers during sales as the AI technical expert: deliver tailored demos and localized outcomes-driven use cases; build customized solution proposals that integrate AI solutions with the broader A&G Solutions portfolio; own the AI-related technical and methodological components in RFPs/tenders; and address AI governance, transparency, compliance, and ethics.
Post-sale, provide the framework and critical success factors for ongoing and increasing customer value over time, and provide ongoing advisory support to grow relationships with large-scale accounts, helping customers expand their use of Elsevier AI solutions.
Advise the global business on regional and worldwide market trends in academic and research AI, competitor activities, and strategic priorities for continued growth in large-scale global sales opportunities.
Bring broad expertise including deep knowledge of Academic & Government markets, strong technical acumen, excellent sales and communication skills, and the ability to manage complex, consultative projects over time.
Requirements
Advanced degree (Master’s or Doctorate) in science or business preferred.
3–5 years of experience in AI/ML solution consulting, research workflow technologies, or complex SaaS pre-sales, ideally in academic or government markets.
Knowledge of AI applications in research discovery, knowledge management, analytics, or higher education.
Ability to translate customer needs into deliverable commercial solutions.
Experience engaging senior institutional leaders, government/national bodies, and technical stakeholders.
Excellent communication, networking, and presentation skills, especially when explaining AI concepts to non-technical audiences.
Familiarity with research administration, academic workflows, funding processes, or scholarly communication is a plus.
Experience in a matrixed, international environment.
Highly self-driven, consultative, with strong sales execution abilities.
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