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
Education
N/A
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