Strategy Analyst Manager

Overview

In this role you shape and drive growth strategy for Elsevier’s Corporate R&D solutions, aligning product portfolios with portfolio strategy and market needs. You will work with senior strategy, product, and commercial leaders to guide roadmaps and execute cross-functional initiatives. Expect to analyze markets, identify opportunities, and lead strategic projects including partnerships and potential acquisitions. You will translate insights into actionable recommendations that support growth and value creation in R&D-intensive industries.

Pay / Benefits

• wellbeing initiatives
• shared parental leave
• study assistance
• sabbaticals
• country-specific benefits
• flexible working hours

Responsibilities

• Lead the development of product-level strategies for agentic solutions and specialty databases
• Guide product leadership in shaping roadmaps aligned with portfolio strategy and market needs
• Monitor competitive landscape to identify threats, opportunities, and potential partnerships or M&A
• Conduct market research to identify new growth opportunities
• Lead strategic initiatives including growth opportunity assessments, M&A screens, and partnerships
• Build relationships and communicate strategic recommendations to senior leadership
• Collaborate with cross-functional teams to drive strategy execution
• Translate complex insights into clear, actionable recommendations

Key requirements

• Bachelors degree in a relevant field (e.g., Business, Economics, Engineering, Chemistry, or other R&D-focused disciplines)
• Strategy consulting experience (3+ years) with a top-tier firm or strong in-house team
• Experience in R&D-intensive industries (chemicals, materials, semiconductors, energy transition, automotive systems)
• Ability to develop strategic frameworks and translate insights into actionable recommendations
• Experience with software and/or data-driven products
• Experience with AI/ML applications or SaaS business models is advantageous
• Strong analytical, problem-solving, and communication skills
• Experience leveraging generative AI tools for strategy or analysis
• Strong presentation skills to diverse audiences
• excellent communication
• cross-functional collaboration
• problem-solving
• AI/ML applications
• SaaS business models
• advanced databases

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