Director, Data Governance and Standards

About the Role

The New York Times is a thriving, data-driven organization. We’re looking for transformational talent to ensure that our data is organized and governed in ways that facilitate that use of data.  

You will partner with Engineering, Product, and Data to set and enforce standards for analyst and data scientist behavior. Your end goal is to create an environment where the bulk of analytical time is spent on getting answers, not searching for data. You will need to be strategic and tactical, have a track record of improving data infrastructure, and have endless curiosity. You will report to the Executive Director of Data Architecture.

Responsibilities:

• Partner with teams across the organization to understand the analytical needs of data, and work with product and engineering teams to create or purchase products that facilitate data discovery and data quality
• Create, maintain, and enforce coding standards, including documentation, code review, naming conventions, permissioning, and data deletion
• Guide analysts and data scientists in SQL best practices, managing query office hours and other outreach and training activities
• Coordinate the transition to dbt, which includes managing the vendor relationship with dbt, coordinating training, ensuring analysts develop the necessary skills to implement dbt correctly, providing dbt guidelines, and holding additional office hours as new teams onboard to dbt
• Partner with analytics leaders to develop and implement a standardized process to manage analyst-owned datasets. This includes developing clear ownership guidelines on datasets and KPI definitions to facilitate better data governance and management
• Collaborate with Data Architecture and engineering teams to roll-out data management tools around data monitoring, data quality and data discoverability (Monte Carlo, DataHub).
• Own projects from end-to-end from scoping and definition to documentation

Basic Qualifications:

• 8+ years of progressively complex experience in data science, analytics, or data management/governance
• 6+ years of experience with data modeling and developing large datasets
• Mastery of SQL
• Experience with big data environments such as GCP, AWS, and/or Snowflake

Preferred Qualifications:

• 1+ years of experience in data visualization/reporting and data viz tools such as Mode, Looker, or Tableau
• 1+ years of experience with dbt

REQ-015644