Data Product Operations Manager, Snowflake

• We’re looking for a highly motivated Data Product Operations Manager to help develop and scale our suite of data products
• Bachelor’s Degree. 10+ years of experience, including 2-4 years in an analytics-focused role (e.g., Data Product Analyst, Analytics Engineer, Data Engineer, or Analyst/Consultant with a strong engineering background)
• Strong SQL skills (preferably Snowflake) with the ability to write efficient, optimized queries
• Proven track record of operational rigor, delivering high-quality, scalable data products
• Excellent communication skills, with experience working directly with customers to understand their needs and provide support
• Self-starter mentality – ability to learn quickly, problem-solve, and work autonomously in an evolving environment
• Business-focused mindset – prioritize delivering usable solutions quickly over building a perfect but unused model
• Strong collaboration skills, comfortable working with both internal teams and external customers
• Familiarity with modern data stack tools (e.g., Snowflake, dbt, AWS S3, Dagster or similar)
• Understanding of analytics engineering best practices, including data modeling, version control, documentation, testing, and code management
• Experience in financial services or a related industry is a plus

Desirable

• As part of the Collaboration & Marketplace team, you’ll play a crucial role in Snowflake’s Data Cloud strategy
• You’ll help build Snowflake’s internal content arm, transforming public-domain data (offered under the Snowflake Data Provider name) into scalable, high-quality data products that enhance our customers’ analytics capabilities
• In this role, you will act as the “Data Owner” for Snowflake’s data products, blending technical expertise with customer-facing and operational responsibilities
• You’ll work at the intersection of data engineering, product development, and stakeholder collaboration, ensuring our data products are technically strong and aligned with real-world customer needs
• This is a unique opportunity to shape Snowflake’s Data Business while working with cutting-edge technology
• Data Pipeline Development – Design, build, and maintain efficient, scalable, and reliable data pipelines to transform and integrate public-domain financial data sources
• Customer Support & Communication – Serve as the technical point of contact for customer inquiries via email and calls, helping users get the most value from our data products
• Operational Excellence – Ensure pipelines run smoothly and customers can access the insights they need without interruptions
• Continuous Improvement – Identify ways to improve product quality, usability, and performance based on feedback from customers and internal teams (engineering, product, and customer success)
• Documentation & Standards – Write clear, comprehensive data documentation, including modeling decisions and definitions, to support both internal teams and customers
• Analytics Engineering Best Practices – Maintain high standards in data modeling, testing, version control, and code management, creating a scalable and disciplined engineering environment
• Data Source Evaluation – Assess and scope new public-domain datasets for ingestion, ensuring they meet quality and technical requirements
• Impact & Growth – Help shape the future of Snowflake’s data ecosystem, driving innovation and expansion of our internal content arm