Stitch Fix is looking to solve complex business challenges with technology and data, specifically by transforming business data into a strategic asset through data engineering pipelines, analytics dashboards, and next-generation automation and Gen AI solutions for Finance, Procurement, Merchandising, and HR/People and Culture functions. The role aims to drive data and AI transformation to enable data-driven decisions and influence company strategy.
Requirements
- Expert-level Python and SQL skills with production-grade code quality and design patterns
- Hands-on experience building and scaling data pipelines using modern orchestration tools (Airflow, or similar)
- Deep understanding of data modeling, dimensional modeling, and data warehouse design patterns
- Experience with batch and stream processing using Spark, Flink, or similar distributed computing frameworks
- Proficiency with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
- Strong experience with BI and analytics tools (Looker, Tableau or similar)
- ETL/ELT development experience with tools like Fivetran, dbt, or custom frameworks
Responsibilities
- Build and own end-to-end data solutions, including ETL/ELT processing frameworks, data orchestration, metrics frameworks, and scalable data models optimized for retail financial data, P&C/HR analytics, and operational metrics.
- Establish and evolve automation and Gen AI frameworks purpose-built for Finance and HR.
- Drive innovation in Gen AI applications, creating agents and automation that fundamentally transform how these teams work.
- Build robust, compliant systems that meet the highest standards for financial data integrity.
- Ensure all data systems comply with SOX (Sarbanes-Oxley) requirements, implementing necessary controls and audit trails, while partnering with Compliance, Internal Audit, and Finance teams to meet all regulatory requirements (including GDPR, CCPA, etc.).
- Collaborate closely with a diverse set of stakeholders—from business leaders in Finance and People & Culture to engineering partners in Product, Data Platform, and HRIS—to solve complex data and business challenges at scale.
- Shape the team's strategic roadmap and investment priorities based on business impact.
Other
- 8+ years of professional experience in data engineering, analytics engineering, or related technical roles, with demonstrated progressive responsibility
- 3-5+ years of engineering management experience, leading teams of 3-10+ engineers with proven track record of building high-performing teams
- Working knowledge of retail financial data (FP&A metrics, merchandise planning, corporate accounting, or procurement analytics)
- Familiarity with HR data models (headcount analytics, compensation, performance management, or recruiting metrics)
- Experience integrating with ERPs (Oracle Fusion, NetSuite, Workday or others) and connected planning tools (Anaplan, Adaptive Planning, Essbase)
- Understanding of SOX (Sarbanes-Oxley) compliance and IT general controls (ITGCs)
- Experience implementing data controls, audit trails, and access management for financial and HR systems
- Exceptional cross-functional communication skills—able to translate complex technical concepts for business audiences
- Strong prioritization skills with business impact and ROI in mind
- Experience working autonomously and taking ownership of complex projects from conception to deliver
