Manager, Data Engineering & Analytics - Business Management & Family Office (51461)

Manager, Data Engineering & Analytics - Business Management & Family Office

Hybrid locations: New York, NY; Los Angeles, CA; Nashville, TN; Woodland Hills, CA

Overview

Salary Range $90,000.00 - $200,000.00 Position Type: Full Time / Experienced Level Category: Advisory - Business Mgmt & Family Office

Description

Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We're continuously seeking talented individuals who bring fresh perspectives, a problem-solving mindset, and sharp technical expertise. We know you have choices, so our team of collaborative, innovative professionals are at the ready to support your professional development. At Citrin Cooperman, we offer competitive compensation and benefits and most importantly, the flexibility to manage your personal and professional life to focus on what matters most to you!

About the Role

We are seeking a highly analytical and technically skilled Royalty Management Analyst to support our royalty management division. This role sits at the intersection of royalty accounting, data engineering, and business intelligence. The ideal candidate has hands-on experience building scalable tracking tools, dashboards, and automated reporting solutions to support complex royalty workflows across music, entertainment, or IP-driven businesses.

This role will play a key part in modernizing data infrastructure, improving transparency, and delivering actionable insights to internal teams and clients.

Responsibilities

Royalty Data & Reporting

• Design, build, and maintain advanced royalty tracking tools and financial reports
• Design and operate production data pipelines ingesting royalty statements and usage data from DSPs, publishers, and internal systems (REST/GraphQL APIs, SFTP, flat-file feeds)
• Develop interactive dashboards and automated reporting in Power BI
• Ensure accuracy, consistency, and auditability of royalty data across multiple sources
• Implement and maintain orchestration, scheduling, and monitoring; ensure pipelines are idempotent, observable, and recoverable
• Partner with royalty accounting teams to translate business requirements into technical solutions

Data Integration & Automation

• Build and maintain API integrations with third-party platforms (e.g., DSPs, royalty systems, accounting software)
• Build automated reconciliation between source statements and warehouse data, with alerting on variance thresholds
• Automate recurring data ingestion, validation, and reconciliation processes
• Establish data quality checks (completeness, uniqueness, referential integrity, control totals); own remediation workflows for failed checks
• Optimize data pipelines for performance, scalability, and reliability

Technical Analysis & Insight

• Analyze large, complex datasets to identify trends, variances, and anomalies
• Support forecasting, statements, and client reporting with robust data models
• Improve data governance, documentation, and quality controls

Collaboration & Process Improvement

• Work cross-functionally with accounting, IT, and client service teams
• Recommend system enhancements and process improvements
• Maintain pipeline code in Git with peer review, automated testing, and CI/CD deployment
• Serve as a technical subject-matter expert within the royalty management group

Qualifications

• 6-9+ years of experience in analytics, BI, or data-driven roles (royalty, finance, or media strongly preferred)
• Advanced experience with Power BI, including DAX and data modeling
• Hands-on experience working with APIs, data connectors, and automated data feeds
• Strong understanding of relational data structures and financial datasets
• Experience with SQL and/or other query languages
• High attention to detail, with strong problem-solving and analytical skills
• Knowledge of Python or other scripting languages for data automation
• Ability to translate complex technical concepts into clear business insights
• Experience with Azure, Snowflake, or other cloud data platforms

Preferred / Nice-to-Have

• Experience in royalty accounting, music, entertainment, publishing, or intellectual property
• Familiarity with royalty systems (e.g., Curve, Vistex, MetaComet, or similar)
• Experience working in a professional services or business management environment