Senior Publisher, Computer Science Journals (Hybrid)

1134 Springer Science+Business Media, LLC; New York (NY); Hybrid; USD 95,000 - 110,000; Full time

Benefits offered by this job

Medical, Dental and Vision

401(k) with company match

Hybrid office working policy

Tuition Assistance

Job summary

Springer Nature is seeking a Senior Publisher to manage a portfolio of Computer Science journals, including hybrid and open access. You will report to an Executive Publisher and drive strategic direction, performance, and growth while liaising with Editors-in-Chief and the wider research community.

The role is hybrid in New York or London, requiring travel and strong data-driven decision making, budgeting input, and cross-functional collaboration across Springer Nature.

Qualifications

• Essential degree-level education or equivalent professional experience.
• Experience managing and developing scholarly journals.
• Knowledge of hybrid and open access publishing models.
• Ability to work with Editors-in-Chief, Editorial Boards and researchers.

Responsibilities

• Lead development, growth and positioning of Computer Science journals.
• Collaborate with Editors-in-Chief and Editorial Boards; align with portfolio goals.
• Monitor performance, identify opportunities, and drive growth using data.
• Represent Springer Nature at conferences and external engagements.
• Ensure editorial policies and research integrity standards are applied.

Skills

Journal publishing

Stakeholder management

Analytical skills

Education

Degree-level education or equivalent

Experience with scholarly journals

Tools

Publishing systems

Reporting tools

Digital platforms

Job description

Springer Nature is seeking a Senior Publisher to manage a portfolio of Computer Science journals, including hybrid and open access. You will report to an Executive Publisher and drive strategic direction, performance, and growth while liaising with Editors-in-Chief and the wider research community.

The role is hybrid in New York or London, requiring travel and strong data-driven decision making, budgeting input, and cross-functional collaboration across Springer Nature.