Music Publishing Operations Specialist - Now Hiring

Music Publishing Operations Specialist
Location: New York, NY - Hybrid, 3 days onsite
Pay: $35-37/Hr (W2)
Duration: Initial 12-month contract (expected extension/conversion)
Schedule: Full-time, 40 hrs/week (Mon-Fri)
Target Start: May/ASAP 2026
Benefits: Medical, dental, vision, 401(k), paid vacation & sick leave

Job Overview:

Seeking a Music Publishing Operations Specialist with 2+ years of experience in operations or data-focused roles. This role supports high-volume publishing workflows, improves data quality, and helps scale operations through automation and process improvements.

What You'll Do:

• Support daily publishing operations (task coordination, workflows, documentation)
• Triage and route external partner inquiries
• Perform quality checks on monthly reports
• Research and verify music publishing ownership data
• Execute data quality initiatives (identify issues, track resolution)
• Assist with data ingestion, validation, and QA
• Contribute to process improvements and automation efforts (including AI tools)
• Partner cross-functionally to resolve data and operational issues

Key Responsibilities:

• Ensure accuracy and completeness of publishing data
• Manage repeatable, high-volume workflows
• Identify and implement process improvements
• Monitor operational metrics and flag risks
• Maintain clear documentation and SOPs

Basic Qualifications:

• 2+ years in operations, data management, or similar
• Strong organization and ability to manage multiple priorities
• Proficiency in Excel/Google Sheets
• Strong communication skills
• Comfortable working independently in fast-paced environments

Must Have Skills:

Ticket/case management or triage experience

Report QC / data auditing experience

Experience with process automation tools

Preferred Qualifications:

Experience with AI/automation tools (e.g., ChatGPT, scripting basics, workflow automation platforms)

Experience researching publishing ownership information using third-party tools.

Knowledge of music rights management tools.

• Familiarity with royalty/metadata/ownership data
• Experience with CWR, DDEX, or similar formats
• Experience with automation tools (e.g., SQL, Python)

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