Data/Reporting Team Lead

This Data Team Lead manages and mentors a team of data engineers, architecting scalable cloud data pipelines on AWS with Python and Spark, and integrating AI/LLM agentic workflows. The role also involves serving as a technical lead for enterprise clients, leading discovery sessions, scoping custom data solutions, and handling escalations. Requires 5+ years in data engineering with 2+ years in leadership, strong Python and PySpark skills, and experience with customer-facing technical roles.

Lead the data team at Cust2Mate, a global leader in smart cart technology for in-store retail. The role involves bringing together hardware, software, AI, data and retail expertise to build smarter in-store experiences at global scale.

This associate director role leads data enablement and reporting functions, overseeing the development of data infrastructure and reporting solutions. Responsibilities include managing data pipelines, ensuring data quality, and delivering actionable insights to stakeholders.

Leads data analysis projects, mentors junior analysts, and delivers actionable insights to stakeholders. Oversees data quality and reporting standards, requiring advanced analytical skills and experience with data visualization and statistical tools.

This Director of Analytics role leads the analytics function, setting the strategy for data-driven decision-making across the retail AI organization. The role involves building and managing a team of analysts, defining KPIs, and delivering insights to executive stakeholders. Key challenges include scaling analytics infrastructure and driving adoption of data products across the business.

This role involves owning product direction for the full data path at Focal Systems, from retailer data imports (planograms, inventory, store metadata) through pipelines to metrics and reports. The Senior Product Manager will run discovery with retailers, set priorities for data products, and ensure they drive actionable outcomes, working closely with data engineering, data science, and customer success teams. This requires 5+ years of product management experience with technical depth in APIs, data pipelines, and hands-on SQL comfort.

This role involves owning and evolving Focal Systems' production infrastructure, focusing on cloud, data pipelines, deployments, and observability to handle millions of images per day from retail locations globally. The engineer will architect scalable data-heavy backend infrastructure using Python, FastAPI, Kafka, Docker, and GCP, and implement CI/CD pipelines with blue/green and canary deployments. This requires 5+ years of infrastructure experience, production GCP experience, and a software development background in Python.