Senior Manager - AI

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.

Overview

7-Eleven is looking for a Senior Manager, AI, to join the Enterprise AI Team!

At 7-Eleven, we’re creating the next generation of convenience, and we know that the best way to do that is with great people. If you get excited about working on challenging problems and owning a solution from concept to implementation, read on.

About the job:

You’ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day. Managers on the Enterprise AI team at 7-ELEVEN have a large amount of experience across multiple areas and lead the technical direction of the team, guiding developers and communicating team progress alongside the Product Manager and Design Lead. They can plan, coordinate, and deliver large tasks spanning multiple systems, and are strong communicators. They actively coach and mentor developers on their development team and can identify and resolve issues with technology and product processes.

As a Senior Manager, you will not only help teams navigate technical problems but grow and coach your reports to achieve a greater degree of impact throughout the organization. Note that most Sr managers will typically only spend 0 -10% of their time programming, with the bulk of their time being committed to architecting/planning, mentoring, team morale, budget management, and communication with internal and external stakeholders.

Key Duties and Responsibilities

• Lead the research, prototyping, and development of AI solutions for retail business challenges.
• Manage the full lifecycle of machine learning projects from conception to production deployment.
• Establish best practices for model development, validation, deployment, and monitoring.
• Mentor and coach team members to enhance their technical skills and career growth.
• Partner with business stakeholders to align machine learning initiatives with strategic objectives.
• Oversee the development of ML pipelines and infrastructure to support scalable model deployment.
• Ensure high standards for data quality, model performance, and ethical AI practices.
• Evaluate and recommend appropriate machine learning technologies, frameworks, and approaches.
• Drive innovation by staying current with emerging AI/ML technologies and research.
• Communicate complex technical concepts to non-technical stakeholders effectively.
• Manage project timelines, resources, and deliverables to ensure successful implementation

Basic Qualifications:

• Bachelor's degree in computer science, Machine Learning, Statistics, Mathematics, or a related field; Master's or PhD preferred.
• 8+ years of experience working in machine learning or data science roles with at least 2+ years of experience in a Technical Managerial role.
• 2+ years of experience managing a team of machine learning engineers or data scientists in a management or technical capacity, with demonstrated delivery.
• Strong understanding of the foundations of Data Science and Machine Learning, with experience in building diverse types of Machine Learning applications across Natural Language Processing, Structured Tabular Data and/or Computer Vision.
• Experience with the full machine learning lifecycle, from data collection to model deployment, with demonstrated experience delivering ML projects with measurable business impact.
• Strong knowledge of deploying AI/ML applications in production, including feature engineering, model selection, model deployment, and machine learning operations (ml-ops).
• Strong understanding of LLM models, LLM Engineering architecture and ecosystem, including context, tools, skills, harness etc., with demonstrated delivery.

Preferred Qualifications:

• Experience managing, coaching and mentoring people, with demonstrable ability to build team culture.
• Experience working in retail, e-commerce, or consumer-facing technology preferred.
• Experience with Databricks.
• Experience building and scaling custom Chatbots and Multi-Agent systems successfully.

Position not eligible for sponsorship.

Position is onsite and based in Irving TX.

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This job description is intended to describe the general nature and level of the work being performed by the individuals assigned to this job. This is not an exhaustive list of all duties and responsibilities.  Management reserves the right to amend and change the duties and responsibilities of this job to meet business and organizational needs, as necessary. 

If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith believes is the range of compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range is only applicable for jobs to be performed in this state. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

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.