In this role, you will be responsible for analysing royalty data, supporting royalty reconciliations, and ensuring the integrity of the royalty calculations database.
This role includes managing royalty advances and earnings payments while maintaining strict compliance with agreement setups and aligning with intellectual property management tools.
The Specialist will assist and lead payout-based projects across multiple geographies, providing advisory support on product structures and agreement terms to ensure accurate royalty processing and alignment with business objectives.
In addition to these core responsibilities, the Specialist will collaborate closely with the Manager to monitor progress on key tasks, contributing to the overall operational excellence of the team.
This role will involve conducting routine quality checks and data validation exercises to maintain accuracy, as well as preparing preliminary reports and summaries of royalty transactions for team review.
Requirements
This role requires a highly skilled individual with expertise in royalty data analysis, problem-solving, and internal & external stakeholder management.
Experience in Publishing/ Rights or Royalties will be preferred.
Demonstrates expertise in own discipline and awareness of work in related areas.
Oversee the accurate processing of royalty statements, ensure compliance with contractual agreements and industry regulations, and mentor team members to drive operational excellence.
Ensuring timely response and reduction on the escalation from Stakeholders/ Author’s by taking prompt and quality action on One CRM tickets.
Lead the reconciliation of royalty supplier accounts, identifying and resolving discrepancies as needed.
Maintain supplier accounts, update, ensuring data accuracy and integrity in all system entries related to royalties and payments.
Partner with technical teams and stakeholders to address data-related inquiries, troubleshoot issues, and implement lasting solutions.
Collaborate with cross-functional teams to gather, process, and maintain data for efficiency.