Analytics Engineering Manager

Ovii's Interpretation of the Role

The Analytics Engineering Manager leads a team that builds reliable data pipelines and analytical models to turn raw data into actionable insights for product, growth, and operations. The role partners across product, engineering, and business functions while championing data governance and scalability.

Role Snapshot

• Lead and mentor analytics engineering team
• Design and scale data pipelines
• Partner with product, growth, and ops
• Establish data governance & quality standards
• Prioritize analytics projects and stakeholder communication

Must-Have Requirements

• SQL
• Databricks
• dbt
• Data modeling & testing
• Cloud data pipeline architecture
• Technical team leadership
• Data engineering
• Analytics engineering
• Technical leadership

Nice-to-Have Signals

• Kubernetes / AWS
• Modern software engineering practices
• Node/TypeScript familiarity
• AI‑assisted development tools (Claude Code, Cursor)
• Cloud environment scaling

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility details beyond US
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Lead, coach, and grow a high‑performing analytics engineering team
• Build and maintain robust data pipelines and analytical models in a cloud environment
• Define and enforce data governance, testing, and documentation standards
• Collaborate with product, engineering, growth, and operations to deliver scalable analytics solutions
• Design and optimize the analytics infrastructure for reliability and scale
• Prioritize analytics initiatives, manage delivery timelines, and communicate progress to stakeholders

Good Fit If You Have

• Experience scaling data pipelines in modern cloud platforms
• Familiarity with Kubernetes and AWS ecosystems
• Exposure to Node/TypeScript or similar modern stacks
• Proactive builder mindset in fast‑moving environments