Data Product Manager (Snowflake) (Oakland)

Key Responsibilities

• Drive end-to-end delivery of data-related projects (data pipelines, data platform migrations, analytics dashboards, etc.).
• Act as bridge between business stakeholders and technical teams, translating requirements into actionable project or product roadmaps.
• Partner with business stakeholders, data engineers, analysts, and product managers to define scope, requirements, and success metrics.
• Develop project plans, timelines, RACI matrices, and risk mitigation strategies; track progress and report status regularly.
• Understand data architecture concepts (ETL / ELT, data lakes, medallion architecture, data governance, cloud data warehouses like Snowflake / BigQuery / Redshift / Databricks).
• Run sprint planning, backlog grooming, and daily stand-ups; ensure blockers are resolved quickly.
• Enforce data quality standards, documentation practices, and governance practices.
• Align technical teams and business stakeholders across engineering, analytics, finance, marketing, and product functions.

Qualifications

• 510+ years of product management or product ownership, with 3+ years specifically in data or analytics projects.
• Familiarity with modern data platforms (Snowflake, BigQuery, Redshift, Databricks) and ETL / ELT tools (Informatica, dbt, Airflow, Fivetran, etc.).
• Strong grasp of Agile / Scrum and hybrid project / product management methodologies.
• Hands-on experience with Jira, Confluence, Smartsheet, or equivalent tools.
• Exceptional communication, stakeholder management, and problem-solving skills.
• Bachelors degree in Computer Science, Information Systems, Engineering, or related field (Masters a plus). PMP, CSM, or Agile certifications preferred.

Preferred Skills

• Experience working in federated data engineering teams or with data product frameworks.