Senior Manager, Product Analytics & Data Engineering

Tasks

• Build data analytics capabilities
• Collaborate with legal compliance stakeholders
• Define product analytics strategy
• Delegate and stay hands on
• Design event driven data collection
• Develop data pipeline strategy
• Develop team operating model
• Engage product leadership stakeholders
• Evaluate data storage architecture
• Lead data infrastructure evaluation
• Maintain human in the loop review
• Manage analysts and data engineers
• Own product instrumentation strategy
• Recommend compliant data architecture
• Set analytics priorities
• Translate technical findings into decision ready narratives
• Use AI assisted analytics tools

Perks/Benefits

• Career development
• Flex My Way
• Flexible vacation
• Headspace app access
• Hybrid work model
• Mental health days
• Pro bono consulting opportunities
• Retirement savings
• Tuition reimbursement
• Two Paid Volunteer Days Off
• Volunteer opportunities
• Work from anywhere

Skills/Tech-stack

AWS | Adobe Analytics | Amplitude | Azure | CCPA | Cloud Data | Cloud Data Platforms | Cursor | DBT | Data Engineering | Data Pipeline Development | Data QA | Data Residency | Data pipeline | Data platforms | Event Driven | Event Tracking | Event-driven architecture | GCP | GDPR | GitHub Copilot | LLM | Pendo | Pipeline Development | Product Analytics | Python | SQL | Snowflake