Senior Manager - Analytics Engineering (SaaS)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Manager - Analytics Engineering (SaaS): Defining and executing the data strategy and analytics infrastructure to ensure high-quality, accessible data at scale with an accent on data modeling, semantic layers, and team leadership. Focus on building scalable dimensional models, driving analytics engineering best practices, and partnering cross-functionally to enable a data-driven organization.
Location: Remote (United States)
Company
An AI-powered business operating system providing infrastructure for agencies and SMBs to build, automate, and scale.
What you will do
- Hire, develop, and lead a high-performing team of Analytics Engineers, providing coaching and career development.
- Define and execute the roadmap for analytics engineering, data modeling, semantic layers, and infrastructure.
- Drive adoption of best practices including testing, documentation, version control, CI/CD, and code review.
- Partner with Engineering, Data Science, and Executive leadership to establish company-wide metric definitions.
- Own data quality initiatives, observability, lineage, and governance across the analytics ecosystem.
- Guide architectural decisions for the analytics stack and evaluate new technologies to ensure scalability.
Requirements
- 11+ years of experience in analytics engineering, business intelligence, or data engineering.
- 3+ years of experience managing high-performing technical teams.
- Deep expertise with SQL and modern analytics engineering practices.
- Experience building platforms using dbt, Snowflake, Airflow, or similar orchestration tools.
- Strong understanding of dimensional modeling and data warehousing concepts.
- Must be based in the United States.
Nice to have
- Experience at a high-growth SaaS or technology company.
- Familiarity with event-driven data architectures and product analytics.
- Experience partnering with accounting for public company audit processes.
- Knowledge of metrics governance and executive KPI frameworks.
Culture & Benefits
- Global, remote-first organization built for speed and ownership.
- Environment that values initiative, clarity, and execution.
- Culture of technical excellence, continuous learning, and collaboration.
- Inclusive workplace where innovation is celebrated and people come first.
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