What are the responsibilities and job description for the Senior Manager, Enterprise Data Platform position at 7-Eleven?
7-Eleven is an iconic family of brands with over 86,000 locations, surpassing every retailer in the world. We revolutionize convenience, restaurants and fuel through cutting edge innovation — working hard to be the customer's first choice. 7-Eleven empowers our employees to "activate awesome" and make a meaningful impact in their stores and communities every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.
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
For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link.
For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this link.
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
- As the Senior Manager of the Data Platform team, you will:
- 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.
- All qualifications are representative of the experience level we are targeting — you do not need to meet every bullet.
- 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 — preferably multiple teams concurrently, including hybrid onshore/offshore (SSC GSC) models.
- Experience owning Incident Response, on-call rotations, knowledge bases, and ITSM tooling.
- Deep technical knowledge of cloud infrastructure — Azure preferred; AWS or GCP acceptable.
- 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.
For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link.
For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this link.