Director, Data Operations

• Manage a team of senior and mid-level data operations analysts, providing technical guidance, mentorship, and performance management
• Contribute to talent growth and team development, recruiting and mentoring future data operations and analytics professionals
• Align technical execution with the product roadmap and vision, ensuring KPI metrics and requirements are well-defined and actionable
• Work across a wide range of enterprise data tools and platforms, leveraging transformation technologies like DBT and visualization tools such as Looker and Tableau
• Oversee implementation and scaling of the semantic layer platform, working cross-functionally to deliver trusted and accessible data assets
• Partner with data engineering, product, and analytic teams to ensure solution designs meet evolving business needs and technical scalability
• Prioritize team workload across projects, balancing tactical delivery with long-term systems and data platform evolution
• Establish and enforce technical best practices around dbt, testing frameworks, CI/CD, and Git workflows
• Review and guide the development of data pipeline requirement documentation, process models, and architectural recommendations
• Manage and analyze large-scale data volumes (1+ PB) across complex ecosystems that power streaming, podcasting, satellite, publisher, and advertiser use cases
• Lead, coach, and develop high-performing teams to foster career growth and professional development
• Provide constructive feedback, conduct performance reviews, and guide team members in setting and achieving goals
• Build and maintain an inclusive, collaborative team culture that encourages innovation and accountability

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field
• 10+ years relevant experience in data operations, data engineering or systems architecture
• 5+ years of people leadership, with a track record of building, coaching, and scaling high-performing teams in data or platform environments
• Strong command of the modern data stack, including Snowflake, dbt, Git, orchestration tools, and semantic layer platforms
• Proven leadership experience managing cross-functional analytics teams in an enterprise environment
• Deep understanding of dimensional modeling, metric standardization, and semantic architecture design
• Excellent written and verbal communication skills, with a passion for making data accessible and actionable
• Must have legal right to work in the U.S.

discretionary short-term and long-term incentives