Sr. Director, Data Analytics & Analytics Engineering

• Develop scalable self-service reporting solutions and address diverse ad-hoc requests that transform our business.
• Utilize data visualization to support decision-making, crafting compelling (Looker) dashboards for key business stakeholders.
• Work with domain experts to develop and deploy business logic onto large and complex raw datasets.
• Collaborate closely with our global Analytics team and international colleagues to foster a data-driven culture by proposing innovative initiatives and building actionable data products.
• Interact with developers, data engineers and management to propose new technologies, processes and system improvements, and develop global data governance strategies.
• Embed value adding technologies, including Gen/Agentic AI into new and existing workflows to enable our business to operate as efficiently as possible.

• Extensive experience in a related role (Bachelor's or Master's degree in a related field preferred), and proven leadership experience.
• Experience in building and managing a high performing team of data analysts.
• Profound experience of SQL based data analysis on large datasets.
• Advanced knowledge of Python and common data analytics packages, such as: pandas, NumPy, Matplotlib, and/or Streamlit.
• Experience managing self-service BI tools for large and diverse customer pools.
• Proven ability to explore and quickly grasp new technologies, data models, and business processes.
• Strong written and verbal communication skills, with the ability to effectively communicate with technical and non-technical audiences.
• Impeccable project management skills, enabling the on-time and parallel delivery of high-quality, complex initiatives, ensuring customer and stakeholder satisfaction.

• Experience using the components present in our existing data analytics and product management stack (GCP, dbt, Looker, Git, Airflow, Docker, Jira, Confluence).
• Experience with music industry data, particularly Music Publishing (Copyright, Royalties) and recorded rights administration data (Royalty, Sales/Usage).
• Provable understanding of the benefits of advanced data analysis methodologies such as machine learning, data science or statistics, with strong knowledge of how fundamental data modelling/data product design decisions and documentation approaches can enable the success of these methodologies.
• Strong advocate for training, implementation, and support of self-service data tools within the business.

• Enjoy flexibility with our hybrid setup: 3 days in office, 2 days remote.
• Experience peace of mind knowing that our comprehensive medical, dental, and vision coverage has got you covered.
• Maximize your savings with our dollar-for-dollar 401(k) match of up to 6% after your first year.
• Say goodbye to accruing vacation days or hitting a cap; take time off when you need it with our flexible time off policy!
• Save money and time with our commuter benefits program.
• Stay healthy and earn financial rewards with our fitness reimbursement program and wellness incentives.
• Access well-being support 24/7 through our Employee Assistance Program.
• Kick off your weekends early with Summer Fridays.
• Unlock your potential with development opportunities, including mentorship programs and LinkedIn Learning.
• Be inspired by our talented artists at our showcases and playbacks.

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Penguin Random House