Senior Manager, Enterprise Data Platform

7-Eleven is looking for an experienced Engineering Manager to lead the Enterprise Data Platform team. At 7-Eleven, Enterprise Data is the aggregator of all large-scale datasets across the organization. We operate the Enterprise Data Lakehouse and Analytics Platform on Azure + Databricks (Unity Catalog), producing reports, metrics, and AI/ML-driven insights for users ranging from C-level executives to store managers. The Enterprise Data Platform team owns the infrastructure, governance plumbing, and automation that lets our Data Engineers, Analysts, and Data Scientists move at full speed — and ensures every dollar of our annual platform spend is observable, attributable, and tied back to a data-product owner.

Responsibilities

Manage day-to-day delivery across multiple Platform Engineering pods building and maintaining the cloud infrastructure and automated processes that power Data Engineering, Analytics, and Machine Learning verticals; Set the multi-year vision for the Data Platform — identifying gaps in the stack, defining a roadmap (Workspace migration, Serverless adoption, CI/CD, AI-assisted SDLC, cost attribution), and positioning EDP to deliver data-product-driven applications at enterprise scale; Partner with Data Architects to design scalable, maintainable, cost-efficient pipelines and shared services — meeting best practices for cloud infrastructure, lakehouse modeling, and analytics engineering; Partner with Data Governance, Privacy, and Compliance leaders to scale the rollout of governed data products — including auditing, lineage, discoverability (Alation), data quality, and privacy controls (e.g., consumer rights handling); Drive cost attribution and chargeback — extend tagging coverage from workspace-level to table/compute/job-level, accelerate Databricks Serverless adoption, and give product owners visibility into their true unit economics; Lead change management for new data initiatives and tools — running presentations, workshops, office hours, and training material to drive adoption across 7-Eleven; Mentor engineers, technical leads, and engineering managers in their personal growth and careers — including cross-coaching with our GSC counterparts; Own the Site Reliability and Support function for the Enterprise Data Platform — incident management, automated observability, ticketing, ITSM, and 24×7 on-call

Requirements

8+ years professional experience as a Software Engineer, Data Engineer, DevOps Engineer, or similar; 5+ years in DevOps, Platform Engineering, or Cloud Infrastructure; 3+ years in Data Engineering, Data Analytics, or AI/ML; 3+ years managing engineering teams; High proficiency with AI productivity and AI driven automation and agentic workflows; Experience owning Incident Response, on-call rotations, knowledge bases, and ITSM tooling; Deep technical knowledge of cloud infrastructure; Deep knowledge of application and infrastructure observability — logging, monitoring, alerting, and automated incident tracking; Strong knowledge of Data Engineering and Analytics fundamentals — data modeling, ELT/ETL pipeline design, distributed compute (Spark/Databricks); Strong knowledge of deploying AI/ML in production — feature engineering, model selection, deployment, and ML-Ops; Strong communication and storytelling skills — able to translate engineering progress into executive narratives and bubble information up to senior leaders; Strong project- and time-management skills — comfortable producing PM artifacts (roadmaps, Gantt charts, process diagrams, status reporting) for active engineering programs

Nice to have

Azure preferred; multiple teams concurrently; hybrid onshore/offshore (SSC + GSC) models