GTM Performance & Innovation Manager

Gtm Performance & Innovation Manager

As a GTM Performance & Innovation Manager, you will strengthen the effectiveness of Go-to-Market execution by combining analytics discipline with an innovation mindset. You will create end-to-end visibility on the performance of launches, programs, campaigns, and enablement activities, helping leaders understand what works, what doesn't, and why. At the same time, you will act as a catalyst for experimentation, piloting new tools and AI-enabled approaches that help sales and marketing teams learn faster and scale what works.

What success looks like

• Reliable visibility into GTM performance metrics (activities, adoption, pipeline, revenue, engagement, NPS) across channels, regions, and segments.
• Actionable insights delivered consistently to GTM leadership and cross-functional stakeholders.
• Experiments with new tools and AI solutions that lead to measurable improvements in efficiency and adoption.
• Regular incorporation of learnings into Quarterly Business Reviews, retrospectives, and planning cycles.

Key responsibilities

• Develop and maintain reporting frameworks for GTM initiatives, ensuring both activity (input) and outcome (output) metrics are tracked consistently.
• Partner with Program Office, Portfolio Marketing, Acquisition & Engagement, Sales Enablement, and regional execution teams to align measurement approaches.
• Deliver clear, actionable performance updates and recommendations to GTM leadership and senior stakeholders.
• Support business planning by providing evidence-based insights and contributing to target setting for global programs and regions.
• Pilot emerging tools and AI solutions (e.g., sales enablement platforms, content optimization, customer insights) in partnership with Marketing, Sales, and Product teams.
• Collaborate with central and regional execution teams to design and run controlled experiments of AI solutions, capture learnings, and promote successful practices for wider adoption.

Experience & skills

• 5+ years' experience in marketing operations, revenue operations, business intelligence, or a related role in B2B or SaaS environments.
• Strong analytical skills with hands-on experience using data and reporting tools (e.g., Tableau, Power BI, Salesforce, or equivalent).
• Proven ability to translate complex data into clear, actionable insights for non-technical stakeholders.
• Curiosity and adaptability with new technologies; exposure to AI-enabled tools in marketing or sales contexts is a plus.
• Demonstrated experience working cross-functionally, influencing stakeholders, and driving adoption of new practices.
• Strong communication skills and a proactive, outcome-oriented mindset.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for you

At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Generous holiday allowance with the option to buy additional days
• Health screening, eye care vouchers, and private medical benefits
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Long service awards
• Save As You Earn share option scheme
• Travel Season ticket loan
• Maternity, paternity, and shared parental leave
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to employee discounts via Perks at Work

About the business

Elsevier is one of the world's leading publishers of trusted scientific, technology, and medical content. Building on that foundation of content, we leverage data science and AI to deliver knowledge and analytics products that advance science and improve healthcare outcomes. Therefore, an efficient, streamlined, and optimized data science development process is key to sustaining innovation and business growth, especially with the opportunities ahead with GenAI. Elsevier is committed to adhere to our RELX Responsible AI Principles, for the development and deployment of all.