Head of Data and Analytics

Summary

Join Aplos, Raisely, and Keela, a unified company dedicated to helping nonprofits thrive, as their Data Engineering Manager. You will own the data and analytics strategy, building a robust data pipeline and ensuring data quality across three SaaS platforms. The role involves leading a team, defining data governance, and presenting insights to executive leadership. You'll establish a single source of truth for key metrics, improve data freshness, and empower users with self-service tools. Success will be measured by data accuracy, user adoption, and cost efficiency. This is a remote-first position with generous benefits.

Requirements

• 8+ years in analytics and data engineering, with at least 3 leading teams
• Hands‑on expertise with Google BigQuery, Python, and a modeling layer such as dbt
• Experience standing up or refining BI governance and permission frameworks
• Strong communicator who can translate SQL results into plain language for Product, CS, Finance, and Marketing leaders
• Track record building revenue, retention, or usage metrics for a subscription software business
• Warehouse: BigQuery
• Ingestion: Python (Cloud Functions)
• Modeling: dbt (rolling out)
• Orchestration: Cloud Scheduler, moving to Cloud Composer
• BI: Metabase Cloud

Responsibilities

• Publish a 12‑month data roadmap that aligns with company OKRs
• Deliver a duplicate‑free revenue model for Finance (fact_movement_clean)
• Define and implement row-level security and role-based access in BigQuery and Metabase
• Launch a live metrics glossary in Notion
• Replace remaining R and Stitch jobs with Python pipelines
• Stand up dbt for tested, documented data models
• Ship Marketing ROI dashboards that replace funnel.io
• Host Metabase training so 80 percent of routine questions are self‑serve
• Fully migrate orchestration to Cloud Composer (or Airflow)
• All three BigQuery instances consolidated into a single BigQuery database with a unified semantic layer serving Metabase
• North‑Star metric suite (Time to Value, Continued Value) live for every product
• Stakeholder NPS on data availability and accuracy ≥ 50
• Prepare hiring plan for 2026 expansion
• Own the data and analytics strategy, budget, and risk register
• Lead, coach, and hire a high‑performing team (Analyst, Analytics Engineer, Data Architect, plus future roles)
• Drive cross‑department alignment on metric definitions and data quality
• Present insights, trends, and data posture to executive leadership and the board
• Maintain strong governance on privacy, security, and cost

Preferred Qualifications

• Familiarity with Metabase or similar semantic‑layer BI tools
• Stripe payment data modeling experience
• Background in nonprofit or fundraising technology
• Knowledge of Google Cloud Composer, Airflow, or other orchestration tools

Benefits

• We’re a remote-first company
• We also have generous PTO plans (4 weeks of vacation, volunteer time off, plus an office closure from Christmas to New Year’s Day!)
• And support paid parental leave (12 weeks)
• We offer robust medical, dental, vision, disability and life insurance coverages
• And have a 4% match on RRSP