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Aramark

Director, Data Engineering – AI

Aramark

Director of Data Engineering & AI managing technical teams at Aramark. Overseeing data pipelines, AI solutions, and team leadership for Facilities Management business.

Posted 6/29/2026full-timePhiladelphia • Pennsylvania • 🇺🇸 United StatesLead💰 $150,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies
AzureCloudIoTKafkaPythonSparkSQL

About the role

Key responsibilities & impact
  • Build Architect and build production-grade data pipelines (batch and streaming) for the highest-priority or highest-ambiguity initiatives.
  • Write code, design model architectures, and personally develop and deploy machine learning models and generative AI applications.
  • Stay hands-on in production: debug critical-path issues, review production-critical code and model logic, and remain a credible technical authority by virtue of doing the work, not just overseeing it.
  • Define and execute the AI/ML roadmap for the line of business, identifying high-value use cases across the full data landscape.
  • Provide overarching oversight and governance of enterprise data architecture standards, design patterns, and data modeling principles.
  • Review and approve solution designs across engineering, AI, and vendor deliverables for alignment with data architecture standards.

Requirements

What you’ll need
  • Expert-level, current proficiency in modern data engineering: Python, SQL, Spark, streaming frameworks (e.g., Kafka), orchestration tooling, and cloud data platforms (e.g., Snowflake, Azure).
  • Proven, personal experience developing and deploying machine learning models and generative AI/LLM applications into production.
  • Hands-on experience with MLOps tooling, CI/CD pipelines, containerization, and model monitoring frameworks.
  • Experience working across diverse, often messy enterprise data domains (financial, labor/workforce, IoT/sensor, employee activity, client/operational) preferred over deep specialization in any single domain.
  • Demonstrated track record of delivering AI products that generated measurable business outcomes.
  • Strong engineering leadership skills with experience building and scaling delivery-oriented technical teams — paired with a clear, recent record as a top individual technical contributor, not a manager who has drifted away from the technical work.
  • Comfortable moving fluidly between hands-on building (coding, prototyping, debugging production issues) and strategic work (roadmaps, architecture decisions, executive communication).

Benefits

Comp & perks
  • Aramark offers comprehensive benefit programs and services for eligible employees including medical, dental, vision, and work/life resources.
  • Additional benefits may include retirement savings plans like 401(k) and paid days off such as parental leave and disability coverage.
  • Benefits vary by location and are subject to any legal requirements or limitations, employee eligibility status, and where the employee lives and/or works.

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data Pipeline DevelopmentMachine Learning Model DeploymentGenerative AI ApplicationsData Architecture StandardsModel Monitoring Frameworks
Soft Skills
Engineering LeadershipStrategic Communication