Skip to content
NEXTMOVEFDE careers · United States
CopilotIQ

Senior Manager, Data Engineering & Analytics

AI summary of the role

Lead and scale the data function at CopilotIQ, a remote US-based player-coach role reporting to the VP of Engineering.

What you’ll do

  • Lead and develop a small global data engineering, analytics, and BI team.
  • Own the architecture, reliability, and evolution of the analytical data platform.
  • Design and build scalable batch and event-driven pipelines across clinical, operational, product, financial, and customer data.
  • Establish data-quality practices including testing, monitoring, lineage, reconciliation, alerting, and incident response.

What you’ll bring

  • 5+ years of data engineering / data-platform experience.
  • 2+ years of technical leadership and mentoring experience.
  • Advanced SQL and strong proficiency in Python and PySpark.
  • Hands-on experience with dbt, Apache Airflow, AWS Glue, and dimensional modeling.

Technologies

AWS Glue · Lambda · SNS · S3 · PySpark · Amazon Redshift · dbt · Apache Airflow · Sigma · Looker · Terraform · MongoDB

About CopilotIQ

AI-driven in-home care platform for health systems and payers, combining RPM, licensed clinicians, and acute-to-chronic care workflows.

Series B · 200–500 people

Source and classification

Deployment team leadership · Evidence for this classification:

remote, United States-based role reporting to the VP of Engineering. This is a hands-on player-coach position. You will lead a small global team with two direct reports across the Americas and India, while personally contributing to data architecture, pipelines, analytics, dashboards, data quality, and customer-facing deliverables. The ideal candidate is a strong data engineer first: resourceful, highly accountable, comfortable solving ambiguous problems, and able to communicate clearly with technical teams, business leaders, and customers. You will own the foundation that supports clinical operations, product decisions, financial reporting, customer reporting, and company-wide analytics. What you’ll own: Lead and develop a small global team across data engineering, analytics, and BI. Own the architecture, reliability, and evolution of the analytical data platform. Design and
How jobs are selected

Employer postings · Data from · Sources