Senior Manager, Product Analytics & Data Engineering

Tasks

• Define analytics priorities
• Delegate delivery and intake prioritization
• Design event driven data collection
• Develop data pipeline solutions
• Engage stakeholders across product and engineering
• Evaluate data storage and processing architecture
• Improve product instrumentation across global network
• Lead product analytics strategy
• Maintain data quality and QA
• Manage and develop analysts and data engineers
• Own product instrumentation strategy
• Provide AI assisted analysis workflows
• Recommend compliant data architecture
• Translate technical findings into decision narratives

Perks/Benefits

• Career development
• Employee incentive programs
• Flexible workplace policies
• Headspace app access
• Hybrid work model
• Mental health days
• Retirement savings
• Tuition reimbursement
• Volunteer days off
• Work from anywhere up to 8 weeks per year
• Work-life balance

Skills/Tech-stack

AI Assisted Development | AWS | Adobe Analytics | Amplitude | Azure | CCPA | Cloud Computing | Cursor | DBT | Data Architecture | Data Engineering | Data Residency | Data Sovereignty | Data pipeline | Event Driven | Event-driven architecture | GCP | GDPR | GitHub Copilot | LLM | LLM Powered Analytics | MCP | Machine Learning | Pendo | Product Analytics | Python | SQL | Snowflake