Senior Manager Of Data Engineering And Ai Automation, Business Systems

Stitch Fix

Remote
Base: $138,000 - $230,000 usd; bonus/equity: eligi...
Remote
Lead data engineering and ai automation teams
Build scalable data infrastructure and pipelines
Drive ai and gen ai innovation for business functions
Stitch Fix is seeking a Senior Manager of Data Engineering and AI Automation for their Business Systems team. The ideal candidate will lead the development of scalable data infrastructure and drive AI innovation across key business functions, leveraging strong technical and leadership skills

Job Summary

  • Lead and mentor a world-class team of data engineers and automation specialists, fostering a culture of technical excellence and continuous improvement.
  • Build and own end-to-end data solutions, including ETL/ELT processing frameworks, data orchestration, and scalable data models optimized for retail financial data, P&C/HR analytics, and operational metrics.
  • Drive AI & Automation Innovation by establishing and evolving automation and Gen AI frameworks purpose-built for Finance and HR, creating agents and automation that fundamentally transform how these teams work.

Matching Summary

Match Score: 85

Stitch Fix is seeking a Senior Manager of Data Engineering and AI Automation for their Business Systems team. The ideal candidate will lead the development of scalable data infrastructure and drive AI innovation across key business functions, leveraging strong technical and leadership skills.

Salary

Base: $138,000 - $230,000 USD; Bonus/Equity: Eligible for annual bonus and stock grants; Benefits: Medical, dental, vision, and other benefits

Skills & Requirements

Must-have

  • Lead data engineering and AI automation teams
  • Build scalable data infrastructure and pipelines
  • Drive AI and Gen AI innovation for business functions
  • Ensure financial and data integrity with SOX compliance
  • Partner with business leaders and engineering teams
  • Develop and mentor data engineers and automation specialists

Nice-to-have

  • Foster culture of technical excellence
  • Strategic roadmap and investment prioritization
  • Hands-on delivery and direct business support

Key Requirements

  • 8+ years in data engineering or analytics engineering
  • 3-5+ years in engineering management
  • Expert-level Python and SQL skills
  • Experience with modern orchestration tools (Airflow)
  • Proficiency with cloud data platforms (AWS, GCP, Azure)
  • Understanding of SOX compliance and ITGCs

Work Rights

Not specified

Tailored Resume

Cover Letter