Director, Data Analytics & Automation

About the role

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.

Responsibilities

• 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.

Requirements

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, stakeholder reporting, data extraction, workflow automation, internal tools, and productionized data applications.

Strong in stakeholder influence: You can communicate complex technical and analytical concepts to non-technical stakeholders, influence prioritization, and help senior leaders understand both business impact and implementation tradeoffs.

Proven in complex delivery: You have managed projects from ambiguous request through design, development, testing, deployment, adoption, documentation, and support, with measurable business outcomes.

Focused on scalable standards: You naturally look for patterns, reusable components, governed data assets, and better team practices instead of allowing critical workflows to depend on tribal knowledge or manual heroics.

Change-management oriented: You have experience helping teams adopt new tools, new processes, and more modern ways of working while staying grounded in business realities.

Analytical and pragmatic: You are comfortable working through imperfect data, legacy systems, regional nuance, operational constraints, and competing stakeholder priorities to make sound decisions.

Qualifications

• Bachelor's degree in a relevant field such as Computer Science, Engineering, Business, Data Science, Analytics, Information Systems, or equivalent practical experience; advanced degree preferred.

Skills

• Technical fluency in data analytics, automation, and modern data stacks (Snowflake, dbt, Dagster, Streamlit, Airtable, etc.)
• Experience in leading and mentoring teams
• Ability to translate business needs into actionable data-driven solutions
• Strong communication and stakeholder management skills
• Experience in project management and delivery
• Practical experience with AI-assisted development tools
• Experience in establishing and enforcing data governance and standards
• Experience in building and deploying scalable data products
• Experience in leading cross-functional teams
• Experience in managing and optimizing workflows
• Experience in building and maintaining robust data pipelines
• Experience in developing and implementing automation strategies
• Experience in guiding the development of high-impact analytical initiatives
• Experience in championing automation and AI-enabled workflows
• Experience in building strong cross-functional relationships
• Experience in communicating impact to leadership
• Experience in developing future leaders

Benefits

Warner Chappell Music offers a competitive benefits package including medical, dental, vision, 401(k) plan, paid time off, and more.

Pay

Competitive salary commensurate with experience.

Schedule

This role requires a minimum of four days per week in the office.