Senior Engineering Manager, Personalization & Web Properties

Senior Engineering Manager, Personalization & Web Properties page is loaded## Senior Engineering Manager, Personalization & Web Properties locations: SSC Irving TX:
Dallas, TXtime type:
Full time posted on:
Posted Todayjob requisition : R26 _5584
* 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.
* The
** Senior Engineering Manager, Personalization & Web Properties
** leads the engineering organization responsible for 7-Eleven's personalization, decisioning, web experience, and supporting marketing technology capabilities.

This role owns end-to-end engineering execution across platforms and services that deliver relevant customer experiences across web, app, CRM, in-store, pump, and other omnichannel touchpoints. The role provides technical leadership for personalization and decisioning, data integrations, hot-path and cold-path processing, web front-end platforms, CMS, digital asset management (DAM), workflow tools, experimentation, and experience delivery.

The Senior Engineering Manager partners closely with Marketing Technology, Product, Marketing, Data & Analytics, Architecture, Security, and Enterprise Platforms. The role is accountable for establishing strong engineering practices, reliable data and platform foundations, scalable architecture, production operations, and measurable delivery outcomes.

The successful candidate is a strong people leader and hands-on technical strategist who has led complex engineering initiatives from strategy and architecture through production. The role will also guide the responsible adoption of AI coding tools and the design, deployment, and operation of AI agents in production.
** KEY DUTIES AND RESPONSIBILITIES
*** Lead and manage engineering teams responsible for personalization, decisioning, web properties, and supporting Mar Tech platforms.
* Own the engineering roadmap, delivery strategy, architecture direction, prioritization, and operating cadence for the portfolio.
* Lead execution end to end, including discovery, technical design, development, testing, release, observability, incident response, and continuous improvement.
* Establish strong engineering principles covering modular architecture, API-first design, automated testing, CI/CD, security, reliability, observability, and operational readiness.
* Design and evolve omnichannel personalization capabilities across web, app, CRM, in-store, pump, paid media, and other customer touchpoints.
* Guide decisioning capabilities, including rules, eligibility, segmentation, recommendations, experimentation, next-best-action, and offer selection.
* Define effective hot-path and cold-path data architectures that balance latency, freshness, scalability, reliability, cost, and governance.
* Partner with data and platform teams to establish trusted data sources, data contracts, event and profile schemas, lineage, quality controls, privacy safeguards, and monitoring.
* Lead engineering integration with marketing technology and data platforms, including Databricks, Hightouch, customer data sources, identity/profile services, experimentation platforms, and activation channels.
* Provide technical direction for web front-end architecture and integrations across CMS, DAM, workflow, content governance, publishing, and digital experience delivery platforms.
* Improve web property performance, accessibility, security, SEO, experimentation, availability, developer experience, and operational visibility.
* Evaluate and integrate commercial and open-platform personalization technologies while maintaining a pragmatic, extensible architecture.
* Build, coach, and retain a high-performing engineering organization; establish role clarity, career development, succession planning, and accountability.
* Manage hiring, performance management, delivery commitments, technical risk, dependencies, vendor relationships, and stakeholder communication.
* Establish a practical strategy for AI-assisted software engineering, including adoption of AI coding tools to improve productivity, quality, testing, documentation, and developer experience.
* Lead the…