Director, Data Analytics & Automation

About this role

At Warner Chappell Music (WCM) - the global music publishing arm of Warner Music Group (WMG) - we shape the culture of songwriting and champion songs that resonate for generations by creating transformational opportunities for songwriters everywhere. Our people and culture are at the epicenter of our company, and we are looking for team members who share our service-oriented mindset and have a passion for looking after our songwriters.

Job Title: Director, Data Analytics & Automation Reports To: VP, Data Analytics & Automation Department: Strategy, Integration and Operations Location: Los Angeles 

A little bit about our team:

The Warner Chappell Global Strategic Integration and Operations team is a small but mighty team focused on delivering and implementing business objectives. Working closely with our global leaders, we are responsible for driving and embedding our global business strategy.

The Data Analytics & Automation team sits at the intersection of business strategy, data products, analytics, and operational automation. We partner across all core WCM business domains, regional teams, and global leadership to turn complex business questions into reliable reporting, scalable data models, workflow tools, and automation that improve decision-making and reduce manual effort.

Your role:   As the Director, Data Analytics & Automation, you are a senior player-coach responsible for leading a high-performing team across both data analytics and automation. You will help define and execute the roadmap for modern data products, workflow automation, AI-enabled development, and self-service analytics across Warner Chappell. This role requires strong business judgment, hands-on technical fluency, people leadership, and the ability to translate ambiguous stakeholder needs into practical solutions that are scalable, governed, and adopted by the business.

You will lead analysts and automation specialists who build across dbt, Snowflake, Dagster, Streamlit, Airtable, AI-assisted development tools, and related modern data and workflow technologies. You will be expected to shape priorities, mentor talent, raise technical standards, manage cross-functional delivery, and ensure the team is building durable assets rather than one-off outputs.   Here you’ll get to: • Lead a multidisciplinary data and automation team: Manage, mentor, and develop analytics and automation talent, fostering a culture of business partnership, technical excellence, ownership, documentation, and continuous improvement.

• Own the strategic roadmap for analytics and automation: Partner with the VP, Data Analytics & Automation and global stakeholders to define priorities across data products, workflow automation, platform modernization, AI-assisted development, and self-service reporting.

• Translate business ambiguity into practical solutions: Work with senior stakeholders across all core WCM business domains, regional teams, and global leadership to clarify problems, identify decision points, and shape the right analytical or automation approach.

• Drive delivery of durable data products: Oversee the design, development, testing, deployment, and adoption of reusable dbt models, governed Snowflake assets, scheduled Dagster jobs, Streamlit applications, Airtable workflows, dashboards, and recurring reporting products.

• Advance platform modernization: Help move the organization away from fragile legacy reporting, manual extracts, disconnected spreadsheets, and one-off workflows toward maintainable data models, governed reporting layers, repeatable automation, and scalable product patterns.

• Establish standards and governance: Develop and reinforce best practices for data modeling, code review, documentation, access control, scheduling, quality checks, stakeholder handoff, AI-assisted development, and production support.

• Lead high-impact analytical initiatives: Guide work that supports business-critical decisions, operational improvements, revenue opportunities, rights and repertoire strategy, financial visibility, and scalable reporting across WCM's core business.

• Champion automation and AI-enabled workflows: Identify opportunities to use automation and modern AI tools to accelerate delivery, reduce manual operational burden, improve business processes, and help the team prototype responsibly without sacrificing reliability.

• Build strong cross-functional relationships: Act as a trusted liaison between business teams, technology partners, data platform stakeholders, and regional leaders to ensure solutions align with business priorities and technical architecture.

• Communicate impact to leadership: Regularly report on roadmap progress, delivery health, adoption, risk, operational improvements, and measurable business impact for analytics and automation initiatives.

• Develop future leaders: Coach team members on stakeholder management, technical judgment, prioritization, delivery discipline, and how to turn repeat requests into scalable team assets.

About you: • A strategic leader with technical depth: You have significant experience leading data, analytics, automation, business intelligence, or process improvement teams, with enough hands-on technical fluency to guide architecture, review tradeoffs, and unblock delivery.

• A business-first data product thinker: You understand that the goal is not just to ship reports or scripts, but to create trusted tools and data assets that improve decisions, reduce manual work, and scale with the organization.

• Experienced across modern analytics and automation tools: You have practical familiarity with modern data stacks such as Snowflake, dbt, orchestration tools like Dagster, Python-based applications or automation, Streamlit or similar internal app frameworks, BI/reporting tools, Airtable or workflow platforms, and AI-assisted development tools.

• Comfortable leading both analysts and automation specialists: You can support people working on analytical modeling,

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