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Senior Manager - Analytics Engineering

3 weeks, 1 day ago
United States
Full-time
Lead
Analytics Engineer
Data Science and Analytics
Apache Airflow CI/CD dbt Git Machine Learning Snowflake SQL
Apply Now
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised
View All Jobs 72

Description

  • Hire, develop, and lead a high-performing team of Analytics Engineers.
  • Set team goals, operating rhythms, and execution processes aligned with company priorities.
  • Define and execute the roadmap for analytics engineering, data modeling, semantic layers, and analytics infrastructure.
  • Build scalable dimensional models and curated datasets that support trusted reporting and advanced analytics.
  • Drive adoption of analytics engineering best practices, including testing, documentation, version control, CI/CD, and code review.
  • Own data quality, observability, lineage, and governance across the analytics ecosystem.
  • Partner with data and business stakeholders to translate analytical needs into scalable data products.
  • Collaborate with Data Engineering to improve pipelines, ingestion, orchestration, and warehouse performance.
  • Work with Product Analytics and Data Science to enable experimentation, machine learning, and advanced analytics.
  • Guide architectural decisions, review technical designs, and mentor engineers through complex implementation challenges.

Requirements

  • 11+ years of experience in analytics engineering, business intelligence, data engineering, or related fields.
  • 3+ years managing high-performing technical teams and developing people.
  • Deep expertise with SQL and modern analytics engineering practices.
  • Experience building analytics platforms using DBT, Snowflake, Airflow, or similar orchestration tools.
  • Familiarity with Git, CI/CD workflows, and BI platforms.
  • Strong understanding of dimensional modeling, semantic layers, and data warehousing concepts.
  • Experience defining data governance, testing, and data quality frameworks.
  • Excellent stakeholder management and communication skills.
  • Demonstrated ability to influence technical strategy across multiple organizations.
  • Experience partnering with accounting/close-the-books procedures at a public company (preferred).
  • Experience managing audit processes and governance programs (preferred).
  • Experience at a high-growth SaaS or technology company (preferred).
  • Experience scaling analytics organizations through rapid company growth (preferred).
  • Familiarity with event-driven data architectures and product analytics (preferred).
  • Experience supporting experimentation platforms and machine learning initiatives (preferred).
  • Knowledge of metrics governance and executive KPI frameworks (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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