Team Lead (Editorial Board Resourcing)
Springer Nature
- Pune, Maharashtra
- Permanent
- Full-time
- Recruiting, training and managing a high-performing team of Editorial Board Resourcing Associates who support Editorial board recruitment on a portfolio of related journals.
- Driving and coordinating recruitment priorities for the team, ensuring that a high quality service is delivered in a timely manner and that targets (journals supported, candidates identified) are met.
- Promoting a culture of continuous improvement in the Editorial Board Resourcing team; ensuring that all team members are able to contribute to development of recruitment processes through feedback and identification of opportunities for improvement.
- Working alongside the Head of Editor and Reviewer Resourcing and Reviewer Engagement Manager to ensure that processes are aligned with wider team objectives and geared to create a pathway for early career researchers to join editorial boards.
- Monthly reporting on recruitment team progress against KPIs within the journal portfolio. Identifying and implementing changes in practice to improve performance of recruitment team against KPIs
- Developing and maintaining training resources to allow publishing colleagues to follow best practice when conducting independent editorial board recruitment.
- Contributing to the development of tools and services that help EiCs and the journal publishing teams identify suitable candidates.
- Data management and analysis
- Using pre-defined criteria, develop datasets based on the scope of the journal and related field to identify candidates for editorial board recruitment With our reporting and technology partners creating a scalable performance management process that our internal teams can use to optimise the performance of editorial boards.
- Customer Engagement
- Engaging external Editors-in-Chief and internal publisher teams with the recruitment process, ensuring that goals, and processes are clearly communicated to all parties.
- Working with EiCs to ensure that suitable candidates are invited to join journals in a timely manner and that EiCs are provided with feedback on progress.
- Manage a team of Editorial Board Resourcing Associates/Specialists who identify and recruit new board members.
- Collaborate with the Reviewer Engagement Manager to ensure that team objectives are aligned and that a path to recruitment of early career researchers is implemented effectively.
- Collaborate with Editorial Engagement team to ensure that recruitment processes align with wider team strategy.
- Collaborate with the Editor support team to support a normalised onboarding experience for new EBMs .
- Liaise with Publishing Directors to report on progress against targets and to ensure that recruitment processes are optimised, high quality and relevant to needs of the journal portfolio.
- Where appropriate, liaise with EiCs and publishing teams to ensure that they are engaged with and understand recruitment processes, and that recruitment support is relevant to journal needs.
- Work with the Business intelligence team to ensure that recruitment data needs are met.
- Line management experience (remote management preferred)
- Experience of STM journal publishing, with a good understanding of peer review and the role of Editorial Boards
- An understanding of the research environment and the needs of researchers, a passion for science and a thorough understanding of recent trends/ developments in the field
- Experience of stakeholder management at all levels of seniority
- Experience in working with and building productive relationships with external stakeholders, including research teams, Editorial Board members and editors in chief.
- A track record of planning, delivering and monitoring large scale projects.
- Line management skills, preferably experience working with remote teams.
- Confidence in communicating, engaging and working cooperatively with stakeholders at various levels of seniority, including researchers, editors, and other partners, in a professional manner.
- Proven background in data analysis
- Project management experience
- University degree, preferably in a scientific discipline
- A PhD, MSc, or higher scientific degree (desirable, not essential)